There exists a surprising O(1) bijection between the datatype of unlabelled (planar) binary trees and 7-tuples of these trees. This presentation shows how this comes about.
Sample code at https://github.com/mjhopkins/seven-trees
This document provides information about trees and tree traversal algorithms. It defines trees and their properties such as roots, levels, and subtrees. It also describes common tree traversal algorithms including preorder, inorder, and postorder traversal. Examples are provided to demonstrate traversing trees using these algorithms and representing expressions as trees.
Content:
1- Mathematical proof (what and why)
2- Logic, basic operators
3- Using simple operators to construct any operator
4- Logical equivalence, DeMorgan’s law
5- Conditional statement (if, if and only if)
6- Arguments
This document introduces some basic concepts in propositional logic. It defines propositional logic as the study of how simple propositions combine to form more complex propositions. It discusses statements as descriptions that can be true or false, and provides examples. It also introduces logical connectives like negation, conjunction, disjunction, implication and biconditional, and shows how they combine atomic propositions into compound propositions. Truth tables are provided to illustrate the truth values of compound propositions formed with different connectives.
The document discusses red-black trees, which are self-balancing binary search trees. It defines properties of red-black trees, including that every node must be red or black, and that every path from the root to a leaf must contain the same number of black nodes. It presents four theorems about red-black trees relating to their structure and balancing. It then describes algorithms for inserting and deleting nodes from red-black trees in a way that maintains the red-black tree properties.
This document discusses trees and their applications in three sentences:
Trees are connected graphs without cycles that can be used to model hierarchical data. Common tree types include binary search trees for storing and retrieving data efficiently and decision trees for modeling sequential decision processes. Tree traversal algorithms like preorder, inorder and postorder specify ways to systematically visit all vertices in a rooted tree.
1. The document discusses mathematical logic and proofs. It introduces logic operators such as NOT, AND and OR and how they are used to construct truth tables and logical formulas.
2. Conditional statements like "if P then Q" are explained along with their contrapositive and negation. Logical equivalences between statements are important.
3. The concept of an argument is introduced, where valid arguments are those where the conclusion follows logically from the assumptions. Specific argument forms like modus ponens and modus tollens are discussed.
This document discusses propositional logic and covers topics like propositions, common logical operators like negation and conjunction, proving the equivalence of logical formulas, constructing logical formulas based on truth tables, and simplifying logical formulas using laws like De Morgan's laws and distribution laws. Examples are provided for each topic to illustrate key concepts in propositional logic.
The document provides definitions and examples related to set theory concepts that are important for business mathematics. It defines what a set is, the different types of sets, set operations like union, intersection, complement and difference. It also discusses subsets, universal sets, disjoint sets, and the power set. Further concepts covered include Cartesian products of sets, Venn diagrams and solving word problems using set concepts.
This document provides information about trees and tree traversal algorithms. It defines trees and their properties such as roots, levels, and subtrees. It also describes common tree traversal algorithms including preorder, inorder, and postorder traversal. Examples are provided to demonstrate traversing trees using these algorithms and representing expressions as trees.
Content:
1- Mathematical proof (what and why)
2- Logic, basic operators
3- Using simple operators to construct any operator
4- Logical equivalence, DeMorgan’s law
5- Conditional statement (if, if and only if)
6- Arguments
This document introduces some basic concepts in propositional logic. It defines propositional logic as the study of how simple propositions combine to form more complex propositions. It discusses statements as descriptions that can be true or false, and provides examples. It also introduces logical connectives like negation, conjunction, disjunction, implication and biconditional, and shows how they combine atomic propositions into compound propositions. Truth tables are provided to illustrate the truth values of compound propositions formed with different connectives.
The document discusses red-black trees, which are self-balancing binary search trees. It defines properties of red-black trees, including that every node must be red or black, and that every path from the root to a leaf must contain the same number of black nodes. It presents four theorems about red-black trees relating to their structure and balancing. It then describes algorithms for inserting and deleting nodes from red-black trees in a way that maintains the red-black tree properties.
This document discusses trees and their applications in three sentences:
Trees are connected graphs without cycles that can be used to model hierarchical data. Common tree types include binary search trees for storing and retrieving data efficiently and decision trees for modeling sequential decision processes. Tree traversal algorithms like preorder, inorder and postorder specify ways to systematically visit all vertices in a rooted tree.
1. The document discusses mathematical logic and proofs. It introduces logic operators such as NOT, AND and OR and how they are used to construct truth tables and logical formulas.
2. Conditional statements like "if P then Q" are explained along with their contrapositive and negation. Logical equivalences between statements are important.
3. The concept of an argument is introduced, where valid arguments are those where the conclusion follows logically from the assumptions. Specific argument forms like modus ponens and modus tollens are discussed.
This document discusses propositional logic and covers topics like propositions, common logical operators like negation and conjunction, proving the equivalence of logical formulas, constructing logical formulas based on truth tables, and simplifying logical formulas using laws like De Morgan's laws and distribution laws. Examples are provided for each topic to illustrate key concepts in propositional logic.
The document provides definitions and examples related to set theory concepts that are important for business mathematics. It defines what a set is, the different types of sets, set operations like union, intersection, complement and difference. It also discusses subsets, universal sets, disjoint sets, and the power set. Further concepts covered include Cartesian products of sets, Venn diagrams and solving word problems using set concepts.
This document discusses group theory concepts including:
1) Definitions of groups, abelian groups, order of groups and elements.
2) Properties of cyclic groups, including examples like Zn and Z.
3) Introduction to normal subgroups and their properties. Factor groups and homomorphisms are also discussed.
This document explores limiting the size of topological spaces through cardinal invariants and Arhangel'skii's Theorem. It begins by introducing set theory concepts like cardinals and ordinals. It then discusses topological spaces formed by putting the order topology on ordinals, called ordinal spaces. Finally, it covers cardinal invariants, which place bounds on the size of topological spaces, and proves a particular case of Arhangel'skii's Theorem, which showed that compact, first-countable spaces have at most the cardinality of the reals. The goal is to understand Arhangel'skii's novel "closing off" proof technique for bounding cardinalities of topological spaces.
This document discusses the theory of sets. It defines what a set is and provides examples. It outlines the basic characteristics of sets and describes the elements and symbols used in set theory. The document discusses different methods of defining sets, types of sets, and operations that can be performed on sets like intersection and union. It also presents some laws of set theory and provides an example problem to exercise set concepts.
Set theory-complete-1211828121770367-8Yusra Shaikh
This document discusses key concepts in set theory including:
- Sets are collections of objects that can be represented by listing elements or using set-builder notation.
- A set is well-defined if its elements can clearly be identified. Sets can be finite or infinite depending on the number of elements.
- Subsets, unions, intersections, complements and other relationships between sets are defined using set notation and set-builder notation.
- Examples are provided to demonstrate concepts like subsets, unions, intersections, and well-defined sets.
This document covers a lecture on compound propositions and logical operators in discrete structures. It defines logical operators such as negation, conjunction, disjunction, exclusive or, implication, and biconditional. It provides truth tables for each operator and examples of how to write compound propositions using the operators. De Morgan's laws and their applications are discussed. The concepts of tautology, contradiction, logical equivalence and various laws of logic are also introduced.
This document outlines a course on discrete structures that covers topics like logic, proofs, sets, relations, graphs and trees. It begins with an introduction that distinguishes between discrete and continuous data. It then defines discrete mathematics as the study of discrete objects and structures. The syllabus lists the topics to be covered in the course. Reference books are provided and the document proceeds to provide examples and explanations of concepts like propositions, logical connectives, truth tables and how to form compound propositions using logical operators.
The document discusses trees as fundamental data structures that combine advantages of ordered arrays and linked lists by allowing fast searching, insertion, and deletion. It defines key tree terminology like root, parent, child, leaf nodes, subtrees, traversal, levels, and properties. Specific algorithms covered include minimum spanning trees and Kruskal's algorithm for finding a minimum spanning tree in a graph by greedily adding the lowest weight edge that connects two components.
Set theory is the branch of mathematics that studies sets, which are collections of objects. A set is well-defined if we can determine whether an object is an element of that set. The empty or null set is represented by the symbol Ø and contains no elements. A set can be either finite, containing a whole number of elements, or infinite.
BCA_Semester-I_Mathematics-I_Set theory and functionRai University
This document provides definitions and explanations of key concepts in set theory:
- A set is a collection of well-defined objects or elements. Sets can be finite or infinite.
- Notation involves listing elements within curly brackets. The empty set contains no elements.
- A subset contains elements that are also in another set. The empty set is a subset of all sets.
- Two sets are equal if they contain the same elements. Order refers to the number of elements in a set.
- Proper subsets contain strictly fewer elements than the parent set they are contained within.
This document introduces set theory and its importance and applications. It defines what a set is and provides examples of different types of sets such as finite, infinite, equal, subset, power and universal sets. It describes operations on sets like union, intersection and complements. The document discusses the history of set theory and its founder Georg Cantor. It provides examples of how set theory is applied in business organization and security. Venn diagrams are introduced as a way to visualize sets. An example problem is presented to demonstrate applying set theory and Venn diagrams. The document finds that set theory is widely used in many disciplines and can be applied at different levels in business operations for problems involving intersecting and non-intersecting sets.
CBSE Class 10 Mathematics Set theory Topic
Set theory Topics discussed in this document:
Introduction
Sets and their representations
Two methods of representing a set:
Roster form
Set-builder form
The empty set
Finite and infinite sets
Consider some examples
Equal sets
Subsets
Subsets of set of real numbers:
Intervals as subsets of R
Power set
Universal Set
Venn Diagrams
More Topics under Class 10th Set theory (CBSE):
Introduction to sets
Operations on sets
Visit Edvie.com for more topics
The Foundations: Logic and Proofs: Propositional Logic, Applications of Propositional Logic, Propositional Equivalence, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference, Introduction to Proofs, Proof Methods and Strategy.
Keynote presentation at DevOps Summit 2016 in Taipei.
http://devopssummit.ithome.com.tw/
I explained the importance of Test Automation and Continuous Integration for cultural change in DevOps context.
DevOpsのコンテキストでの「文化の変化」に対する、テスト自動化とCIの重要性を説明した資料です。
This document appears to be a collection of photo credits from various nature and plant photographers. The photos are unattributed but credited to several photographers and photo sources, including jacilluch, floresyplantas.net, _...:::Zelluloid:::..._, Ecopapel, Sigüeiro. Barciela: Por Miguel Edreira, and Anita/anubis-/Ana Isabel (ve ec). The document encourages the viewer to get started creating their own presentation using Haiku Deck on SlideShare.
This document discusses group theory concepts including:
1) Definitions of groups, abelian groups, order of groups and elements.
2) Properties of cyclic groups, including examples like Zn and Z.
3) Introduction to normal subgroups and their properties. Factor groups and homomorphisms are also discussed.
This document explores limiting the size of topological spaces through cardinal invariants and Arhangel'skii's Theorem. It begins by introducing set theory concepts like cardinals and ordinals. It then discusses topological spaces formed by putting the order topology on ordinals, called ordinal spaces. Finally, it covers cardinal invariants, which place bounds on the size of topological spaces, and proves a particular case of Arhangel'skii's Theorem, which showed that compact, first-countable spaces have at most the cardinality of the reals. The goal is to understand Arhangel'skii's novel "closing off" proof technique for bounding cardinalities of topological spaces.
This document discusses the theory of sets. It defines what a set is and provides examples. It outlines the basic characteristics of sets and describes the elements and symbols used in set theory. The document discusses different methods of defining sets, types of sets, and operations that can be performed on sets like intersection and union. It also presents some laws of set theory and provides an example problem to exercise set concepts.
Set theory-complete-1211828121770367-8Yusra Shaikh
This document discusses key concepts in set theory including:
- Sets are collections of objects that can be represented by listing elements or using set-builder notation.
- A set is well-defined if its elements can clearly be identified. Sets can be finite or infinite depending on the number of elements.
- Subsets, unions, intersections, complements and other relationships between sets are defined using set notation and set-builder notation.
- Examples are provided to demonstrate concepts like subsets, unions, intersections, and well-defined sets.
This document covers a lecture on compound propositions and logical operators in discrete structures. It defines logical operators such as negation, conjunction, disjunction, exclusive or, implication, and biconditional. It provides truth tables for each operator and examples of how to write compound propositions using the operators. De Morgan's laws and their applications are discussed. The concepts of tautology, contradiction, logical equivalence and various laws of logic are also introduced.
This document outlines a course on discrete structures that covers topics like logic, proofs, sets, relations, graphs and trees. It begins with an introduction that distinguishes between discrete and continuous data. It then defines discrete mathematics as the study of discrete objects and structures. The syllabus lists the topics to be covered in the course. Reference books are provided and the document proceeds to provide examples and explanations of concepts like propositions, logical connectives, truth tables and how to form compound propositions using logical operators.
The document discusses trees as fundamental data structures that combine advantages of ordered arrays and linked lists by allowing fast searching, insertion, and deletion. It defines key tree terminology like root, parent, child, leaf nodes, subtrees, traversal, levels, and properties. Specific algorithms covered include minimum spanning trees and Kruskal's algorithm for finding a minimum spanning tree in a graph by greedily adding the lowest weight edge that connects two components.
Set theory is the branch of mathematics that studies sets, which are collections of objects. A set is well-defined if we can determine whether an object is an element of that set. The empty or null set is represented by the symbol Ø and contains no elements. A set can be either finite, containing a whole number of elements, or infinite.
BCA_Semester-I_Mathematics-I_Set theory and functionRai University
This document provides definitions and explanations of key concepts in set theory:
- A set is a collection of well-defined objects or elements. Sets can be finite or infinite.
- Notation involves listing elements within curly brackets. The empty set contains no elements.
- A subset contains elements that are also in another set. The empty set is a subset of all sets.
- Two sets are equal if they contain the same elements. Order refers to the number of elements in a set.
- Proper subsets contain strictly fewer elements than the parent set they are contained within.
This document introduces set theory and its importance and applications. It defines what a set is and provides examples of different types of sets such as finite, infinite, equal, subset, power and universal sets. It describes operations on sets like union, intersection and complements. The document discusses the history of set theory and its founder Georg Cantor. It provides examples of how set theory is applied in business organization and security. Venn diagrams are introduced as a way to visualize sets. An example problem is presented to demonstrate applying set theory and Venn diagrams. The document finds that set theory is widely used in many disciplines and can be applied at different levels in business operations for problems involving intersecting and non-intersecting sets.
CBSE Class 10 Mathematics Set theory Topic
Set theory Topics discussed in this document:
Introduction
Sets and their representations
Two methods of representing a set:
Roster form
Set-builder form
The empty set
Finite and infinite sets
Consider some examples
Equal sets
Subsets
Subsets of set of real numbers:
Intervals as subsets of R
Power set
Universal Set
Venn Diagrams
More Topics under Class 10th Set theory (CBSE):
Introduction to sets
Operations on sets
Visit Edvie.com for more topics
The Foundations: Logic and Proofs: Propositional Logic, Applications of Propositional Logic, Propositional Equivalence, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference, Introduction to Proofs, Proof Methods and Strategy.
Keynote presentation at DevOps Summit 2016 in Taipei.
http://devopssummit.ithome.com.tw/
I explained the importance of Test Automation and Continuous Integration for cultural change in DevOps context.
DevOpsのコンテキストでの「文化の変化」に対する、テスト自動化とCIの重要性を説明した資料です。
This document appears to be a collection of photo credits from various nature and plant photographers. The photos are unattributed but credited to several photographers and photo sources, including jacilluch, floresyplantas.net, _...:::Zelluloid:::..._, Ecopapel, Sigüeiro. Barciela: Por Miguel Edreira, and Anita/anubis-/Ana Isabel (ve ec). The document encourages the viewer to get started creating their own presentation using Haiku Deck on SlideShare.
This document discusses probability sampling techniques using a hypothetical sampling frame list. It shows how a sample can be selected from the list randomly by assigning selection probabilities and then randomly choosing units from the list. Units are progressively selected and marked as "selected" or "not selected" to demonstrate the sampling process. The goal is to select a sample that accurately represents the population.
La empresa ofrece calzado de talles especiales entre el 35 y 45 para mujeres, con un catálogo atractivo y competitivo de moda y buena calidad a precios accesibles. Sus objetivos son brindar productos de calidad a precios accesibles y ofrecer una variedad de moda para clientes, guiada por valores como las relaciones con clientes, proveedores y la comunidad. Su misión es ofrecer productos atractivos, competitivos y diferenciados, y su visión es ser líder en ventas que contribuya al desarrollo económico y social de
Este documento presenta los esquemas de tratamiento para la tuberculosis (TB) en dos fases. La primera fase intensiva dura 2 meses y utiliza una combinación diaria de isoniazida, rifampicina, pirazinamida y etambutol. La segunda fase de mantenimiento dura 4 meses y utiliza isoniazida y rifampicina tres veces por semana. También se describe un esquema secundario más prolongado para pacientes previamente tratados que incluye una segunda fase intensiva de 1 mes. Se explican los roles bactericidas y bacteriostáticos
gestion de la carga de trabajo de la evaluación continua para el profesorAlfredo Prieto Martín
Este documento discute cómo lograr que la evaluación continua sea costo-efectiva. Propone dividir la evaluación continua en control, calificación y retroalimentación para reducir la carga de trabajo del profesor. También sugiere incorporar a los estudiantes en el proceso de evaluación a través de la coevaluación y autoevaluación.
El documento presenta la información de la empresa pastelera J&M, con el objetivo de ser líderes en el mercado, aumentar ingresos y rentabilidad, y ser una marca reconocida. Su misión es alimentar y deleitar a los clientes de manera productiva y humana, proveyendo los mejores productos y servicios para eventos. Su visión es ser la mejor opción en el mercado pastelero y el mayor distribuidor a nivel nacional.
Nº 33 año 2008, gaceta municipal extraordinaria (ordenanzas contraloría socia...María Linares
Este documento presenta una ordenanza municipal para establecer la Contraloría Social Comunitaria en el Municipio Libertador del estado Mérida, Venezuela. La ordenanza define la Contraloría Social Comunitaria como un órgano de participación ciudadana encargado de supervisar obras, servicios y programas sociales a nivel comunitario. Establece los procedimientos para la elección y organización de los miembros de la Contraloría Social Comunitaria, así como sus funciones y deberes en materia de control y supervisión de la gestión pública municipal.
Proyecto de historia clínica electrónica en cundinamarcaAlex Rodriguez
El documento describe un proyecto para implementar una historia clínica electrónica unificada en el departamento de Cundinamarca, Colombia. El proyecto busca integrar los sistemas de información de los 35 hospitales públicos del departamento para automatizar y unificar las historias clínicas a través de una red. De esta forma, se mejorará el acceso a la información médica y la calidad de la atención al paciente. El proyecto forma parte de un plan nacional para implementar las tecnologías de la información en el sector salud de Colombia.
This document summarizes a digital project interfacing an 8051 microcontroller with a 5 motor robotic arm using H-bridges. The goals are to develop assembly code for a menu-driven demo and manual control using a keypad for input and LCD for display. A parts list budgets $159 for components including the robotic arm, H-bridges, microcontroller, display, and wiring. Block and schematic diagrams show the interconnections, and pictures depict the physical build.
Engaging staff in Health and Safety, do rules work? - Golden rules thoughts 2...Gideon Bernto
Engaging employees in health and safety - do rules work?
Some useful insights on what works and what doesn't work as well..Large organisations which are seeking to harmonise HS&E management across their different processes and sites often look to – among other actions – deploy a set of rules – such as ‘Golden Safety Rules’. But do they work? Is this the right name for them? And how do you go about naming, defining, implementing and enforcing them? Is the ‘rules’ word a turn-off right from the beginning? Does making them ‘golden’ elevate them to the right spot?
El documento describe una empresa llamada "Querubín" dedicada a la venta de accesorios y ropa para bebés. Los objetivos de la empresa son ofrecer un servicio personalizado a los clientes, lograr la eficiencia a través de un personal capacitado, y asegurar la continuidad del negocio manteniendo su reputación. Su visión es ser reconocida a nivel nacional e internacional como líder en confección de ropa infantil de calidad que cumpla con las expectativas de los clientes. Su misión es dedicarse a la venta de
Conquer CI Server! - Re-establishment of Order and Nurture of the Solid Organ...Rakuten Group, Inc.
This is an English version of presentation material for "Agile Japan 2015" (http://www.agilejapan.org/) which was held on Apr 16th 2015.
In this document, I recapitulated the concrete example of improvement by using Project Metrics.
Additionally, I wrote one example to construct a cooperative relationship with Managers.
I hope this document helps you improve your team and organization.
Understanding variable importances in forests of randomized treesGilles Louppe
This document discusses variable importances in random forests. It begins by introducing random forests and their strengths and weaknesses, specifically their loss of interpretability. It then discusses how variable importances can help recover interpretability by providing two main importance measures: mean decrease in impurity (MDI) and mean decrease in accuracy (MDA). The document focuses on MDI and presents three key results: 1) variable importances provide a three-level decomposition of information about the output, 2) importances only depend on relevant variables, and 3) most properties are lost when K > 1 in non-totally randomized trees.
This document presents research on pattern avoidance in ternary trees. It begins by finding recurrence relations for the number of trees avoiding several simple tree patterns with 3, 5, and 7 leaves. Generating functions are computed for these patterns. Bijections are presented between trees avoiding certain pairs of patterns, showing they have the same avoidance generating functions. The results are generalized to m-ary trees.
First-order logic (FOL) is a formal system used in mathematics, philosophy, linguistics, and computer science to represent knowledge about domains involving objects and relations. FOL extends propositional logic with quantifiers and predicates to describe properties of and relations between objects. Well-formed formulas in FOL involve constants, variables, functions, predicates, quantifiers, and logical connectives. The meaning and truth of FOL statements is determined with respect to a structure called a model that specifies a domain of objects and interpretations of symbols. FOL can be used to represent knowledge about many different domains and perform logical inference.
This document summarizes research on generalized classical Fréchet derivatives in real Banach spaces. It begins by reviewing basic definitions and results for Fréchet derivatives, including the chain rule, mean value theorem, and Taylor's formula. It then proves several theorems on generalized Fréchet derivatives, including a generalized chain rule, mean value theorem, and implicit function theorem. It also presents a generalized Taylor's formula for nth order Fréchet differentiable functions. The proofs of the main results on generalized Fréchet derivatives are provided.
Red-black trees are a self-balancing binary search tree. They ensure fast lookups, inserts, and deletes by keeping the height of the tree shallow. Insertion into a red-black tree may violate its balancing properties, so a fixup procedure is used. It recolors nodes red or black and performs rotations to ensure no more than one red link between any node and its children. This preserves the tree's balancing and keeps operations efficient.
Skiena algorithm 2007 lecture09 linear sortingzukun
- The document discusses linear sorting algorithms like quicksort.
- It provides pseudocode for quicksort and explains its best, average, and worst case time complexities. Quicksort runs in O(n log n) time on average but can be O(n^2) in the worst case if the pivot element is selected poorly.
- Randomized quicksort is discussed as a way to achieve expected O(n log n) time for any input by selecting the pivot randomly.
Dependent Types and Dynamics of Natural LanguageDaisuke BEKKI
The document discusses dependent types and dynamics in natural language semantics. It provides an overview of Dependent Type Semantics (DTS), which takes a proof-theoretic approach to semantics. DTS uses dependent types to provide a unified analysis of inferences and anaphora resolution. The document explains how DTS handles various phenomena involving anaphora and dynamic semantics, such as E-type anaphora and donkey anaphora, through the use of underspecified terms and type checking.
Skiena algorithm 2007 lecture05 dictionary data structure treeszukun
This document discusses dictionaries and binary search trees. It describes the basic operations for dictionaries like search, insert, delete, min, max, successor, and predecessor. It then explains how to implement these operations using binary search trees. The time complexity of each operation is O(h) where h is the height of the tree, which can be O(lg n) for a balanced tree but O(n) in the worst case for an unbalanced tree. Balanced search trees like red-black trees and AVL trees help guarantee O(lg n) time for operations.
This document discusses binary search trees (BSTs). It describes how BSTs are structured, with each node containing a value greater than all values in its left subtree and less than all values in its right subtree. It then summarizes common BST operations like insertion, deletion, finding minimum/maximum values, and provides pseudocode implementations. The average-case runtime of these operations is analyzed, showing that since the average depth of a BST is O(log N), most operations take O(log N) time on average. Repeated insertions and deletions can cause imbalance and increase the average depth to O(√N).
The document discusses binary search trees and their properties. It explains that a binary search tree is a binary tree where every node's left subtree contains values less than the node's value and the right subtree contains greater values. Operations like search, insert, delete can be done in O(h) time where h is the height of the tree. The height is O(log n) for balanced trees but can be O(n) for unbalanced trees. The document also provides examples of using a binary search tree to sort a set of numbers in O(n log n) time by building the BST and doing an inorder traversal.
On Generalized Classical Fréchet Derivatives in the Real Banach SpaceBRNSS Publication Hub
This document summarizes research on generalized classical Fréchet derivatives in real Banach spaces. It begins by reviewing basic definitions and results for Fréchet derivatives, including the chain rule, mean value theorem, and Taylor's formula. It then proves that Fréchet derivatives exist and are continuous in real Banach spaces. The main results generalize the chain rule, mean value theorem, and Taylor's formula to higher order Fréchet derivatives in real Banach spaces. Proofs are provided for the generalized chain rule and other theorems.
The document discusses algorithms for multiplying matrices. It first presents the standard algorithm that uses n^3 multiplications and n^3 - n^2 additions to multiply two n x n matrices. It then discusses Strassen's algorithm, which multiplies 2x2 matrices using 7 multiplications instead of 8, resulting in an algorithm that runs in O(n^2.81) time rather than O(n^3) time for matrix multiplication. While theoretically faster algorithms exist, Strassen's algorithm is considered practical for exact calculations if the recursion is stopped when matrix sizes reach around 100.
This document discusses a theory solver for the theory of uninterpreted functions (UF) in satisfiability modulo theories (SMT). It presents the key components of a UF solver, including union-find algorithms to handle equalities, congruence closure to handle functions, and computing theory conflicts. The solver decides satisfiability of UF formulas in incremental, backtrackable, and theory-propagating manner. It can also be used as a base layer for other theory solvers like LRA.
In computer science, divide and conquer (D&C) is an algorithm design paradigm based on multi-branched recursion. A divide and conquer algorithm works by recursively breaking down a problem into two or more sub-problems of the same (or related) type, until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a solution to the original problem.
In computer science, merge sort (also commonly spelled mergesort) is an O(n log n) comparison-based sorting algorithm. Most implementations produce a stable sort, which means that the implementation preserves the input order of equal elements in the sorted output. Mergesort is a divide and conquer algorithm that was invented by John von Neumann in 1945. A detailed description and analysis of bottom-up mergesort appeared in a report by Goldstine and Neumann as early as 1948.
The document discusses trees and their representation in computer science. It defines trees as a type of graph with a unique path from a root node to every other node. Trees can be used to represent hierarchies and operations with precedence. They are commonly represented using linked lists, with each node containing data and pointers to its child nodes. Common tree traversal algorithms like preorder search are described, where the root, left subtree, and right subtree are visited recursively to systematically cover the entire tree.
The document discusses the origins and evolution of fuzzy logic, beginning with fuzzy set theory proposed by Zadeh in 1965 which aimed to represent vagueness in natural language using fuzzy sets with non-crisp boundaries. It explains key concepts in fuzzy logic like membership functions, fuzzy set operations, fuzzy relations and compositions. The document also compares classical sets with crisp boundaries to fuzzy sets and contrasts crisp logic with fuzzy logic which allows for degrees of truth between 0 and 1.
The document discusses binary search trees and their operations. It covers definitions of binary search trees, how to search, find the minimum/maximum keys, insert and delete nodes. It then discusses AVL trees, which are self-balancing binary search trees where the heights of the left and right subtrees of every node differ by at most one. It explains rotations needed during insertions and deletions to maintain balance in AVL trees.
The document introduces solving non-linear equations (NLEs) through root-finding methods. It discusses transforming NLEs into root-finding problems by forming a root-finding function f(x) equal to zero at the solution. The key steps are to identify the fixed parameters {pi} of the equation and define the root-finding function f(x,{pi}) as the left side minus the right side of the original equation. An example transforms the Redlich-Kwong equation of state to find the molar volume V corresponding to pressure P=1 bar and temperature T=60°C.
The document describes the mergesort algorithm for sorting data in linear time complexity of O(n log n). Mergesort uses a divide-and-conquer approach by recursively dividing an array into two halves, sorting each half using mergesort, and then merging the two sorted halves back into a single sorted array. It analyzes the runtime using recurrence relations and proves it is O(n log n).
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...Sérgio Sacani
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...Sérgio Sacani
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Order : Trombidiformes (Acarina) Class : Arachnida
Mites normally feed on the undersurface of the leaves but the symptoms are more easily seen on the uppersurface.
Tetranychids produce blotching (Spots) on the leaf-surface.
Tarsonemids and Eriophyids produce distortion (twist), puckering (Folds) or stunting (Short) of leaves.
Eriophyids produce distinct galls or blisters (fluid-filled sac in the outer layer)
Presentation of our paper, "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", by K. Tsigos, E. Apostolidis, S. Baxevanakis, S. Papadopoulos, V. Mezaris. Presented at the ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) of the ACM Int. Conf. on Multimedia Retrieval (ICMR’24), Thailand, June 2024. https://doi.org/10.1145/3643491.3660292 https://arxiv.org/abs/2404.18649
Software available at https://github.com/IDT-ITI/XAI-Deepfakes
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDSSérgio Sacani
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...Creative-Biolabs
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
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Seven trees in one
1. Seven trees in one
Mark Hopkins
@antiselfdual
Commonwealth Bank
LambdaJam 2015
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
2. Unlabelled binary trees
data Tree = Leaf | Node Tree Tree
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
3. Unlabelled binary trees
data Tree = Leaf | Node Tree Tree
T = 1 + T2
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
4. T = 1 + T2
Suspend disbelief, and solve for T.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
5. T = 1 + T2
Suspend disbelief, and solve for T.
T2
− T + 1 = 0
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
6. T = 1 + T2
Suspend disbelief, and solve for T.
T2
− T + 1 = 0
T =
−b ±
√
b2 − 4ac
2a
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
7. T = 1 + T2
Suspend disbelief, and solve for T.
T2
− T + 1 = 0
T =
−b ±
√
b2 − 4ac
2a
= 1
2 ±
√
3
2 i
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
8. T = 1 + T2
Suspend disbelief, and solve for T.
T2
− T + 1 = 0
T =
−b ±
√
b2 − 4ac
2a
= 1
2 ±
√
3
2 i
= e±πi/3
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
10. So T6 = 1.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
11. So T6 = 1. No, obviously wrong.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
12. So T6 = 1. No, obviously wrong.
What about
T7
= T?
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
13. So T6 = 1. No, obviously wrong.
What about
T7
= T?
Not obviously wrong. . .
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
14. So T6 = 1. No, obviously wrong.
What about
T7
= T?
Not obviously wrong. . .
⇒ true!
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
15. Theorem
There exists an O(1) bijective function from T to T7.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
16. Theorem
There exists an O(1) bijective function from T to T7.
i.e.
we can pattern match on any 7-tuple of trees and put them
together into one tree.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
17. Theorem
There exists an O(1) bijective function from T to T7.
i.e.
we can pattern match on any 7-tuple of trees and put them
together into one tree.
we can decompose any tree into the same seven trees it came
from.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
18. Theorem
There exists an O(1) bijective function from T to T7.
i.e.
we can pattern match on any 7-tuple of trees and put them
together into one tree.
we can decompose any tree into the same seven trees it came
from.
Actually holds for any k = 1 mod 6.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
19. Theorem
There exists an O(1) bijective function from T to T7.
i.e.
we can pattern match on any 7-tuple of trees and put them
together into one tree.
we can decompose any tree into the same seven trees it came
from.
Actually holds for any k = 1 mod 6.
Not true for other values.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
20. T2
→ T
f :: (Tree , Tree) → Tree
t t1 t2 = Node t1 t2
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
21. T2
→ T
f :: (Tree , Tree) → Tree
t t1 t2 = Node t1 t2
Not surjective, since we can never reach Leaf.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
22. T → T2
f :: Tree → (Tree , Tree)
f t = Node t Leaf
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
23. T → T2
f :: Tree → (Tree , Tree)
f t = Node t Leaf
Not surjective either.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
24. T2
→ T, but cleverer
f :: (Tree , Tree) → Tree
f (t1, t2) = go (Node t1 t2)
where
go t = if leftOnly t then left t else t
leftOnly t = t == Leaf
|| right t == Leaf && leftOnly (left t)
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
25. T2
→ T, but cleverer
f :: (Tree , Tree) → Tree
f (t1, t2) = go (Node t1 t2)
where
go t = if leftOnly t then left t else t
leftOnly t = t == Leaf
|| right t == Leaf && leftOnly (left t)
Bijective!
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
26. T2
→ T, but cleverer
f :: (Tree , Tree) → Tree
f (t1, t2) = go (Node t1 t2)
where
go t = if leftOnly t then left t else t
leftOnly t = t == Leaf
|| right t == Leaf && leftOnly (left t)
Bijective! but not O(1).
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
27. A solution
f :: T → (T, T, T, T, T, T, T)
f L = (L,L,L,L,L,L,L)
f (N t1 L) = (t1,N L L,L,L,L,L,L)
f (N t1 (N t2 L)) = (N t1 t2,L,L,L,L,L,L)
f (N t1 (N t2 (N t3 L))) = (t1,N (N t2 t3) L,L,L,L,L,L)
f (N t1 (N t2 (N t3 (N t4 L)))) = (t1,N t2 (N t3 t4),L,L,L,L,L)
f (N t1 (N t2 (N t3 (N t4 (N L L))))) = (t1,t2,N t3 t4,L,L,L,L)
f (N t1 (N t2 (N t3 (N t4 (N (N t5 L) L))))) = (t1,t2,t3,N t4 t5,L,L,L)
f (N t1 (N t2 (N t3 (N t4 (N (N t5 (N t6 L)) L))))) = (t1,t2,t3,t4,N t5 t6,L,L)
f (N t1 (N t2 (N t3 (N t4 (N (N t5 (N t6 (N t7 t8))) L))))) = (t1,t2,t3,t4,t5,t6,N t7 t8)
f (N t1 (N t2 (N t3 (N t4 (N t5 (N t6 t7 )))))) = (t1,t2,t3,t4,t5,N t6 t7,L)
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
28. Where did this come from
T = 1 + T2
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
29. Where did this come from
T = 1 + T2
Tk
= Tk−1
+ Tk+1
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
30. Penny game
T0 T1 T2 T3 T4 T5 T6 T7 T8
start with a penny in position 1.
aim is to move it to position 7 by splitting and combining
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
33. Why did this work?
If we have a type isomorphism T ∼= p(T) then
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
34. Why did this work?
If we have a type isomorphism T ∼= p(T) then
q1(T) ∼= q2(T) as types
⇐⇒ q1(x) ∼= q2(x) in the rig N[x]/(p(x) = x)
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
35. Why did this work?
If we have a type isomorphism T ∼= p(T) then
q1(T) ∼= q2(T) as types
⇐⇒ q1(x) ∼= q2(x) in the rig N[x]/(p(x) = x)
⇒ q1(x) ∼= q2(x) in the ring Z[x]/(p(x) = x)
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
36. Why did this work?
If we have a type isomorphism T ∼= p(T) then
q1(T) ∼= q2(T) as types
⇐⇒ q1(x) ∼= q2(x) in the rig N[x]/(p(x) = x)
⇒ q1(x) ∼= q2(x) in the ring Z[x]/(p(x) = x)
⇒ q1(z) ∼= q2(z) for all z ∈ C such that p(z) = z.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
37. Why did this work?
If we have a type isomorphism T ∼= p(T) then
q1(T) ∼= q2(T) as types
⇐⇒ q1(x) ∼= q2(x) in the rig N[x]/(p(x) = x)
⇒ q1(x) ∼= q2(x) in the ring Z[x]/(p(x) = x)
⇒ q1(z) ∼= q2(z) for all z ∈ C such that p(z) = z.
And, under some conditions, the reverse implications hold.
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
38. Summary
Simple arithmetic helps us find non-obvious type isomorphisms
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
39. Extensions
Are there extensions to datatypes of decorated trees?
(multivariate polynomials)
What applications are there?
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
40. Extensions
Are there extensions to datatypes of decorated trees?
(multivariate polynomials)
What applications are there?
important when writing a compiler to know when two types
are isomomorphic
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
41. Extensions
Are there extensions to datatypes of decorated trees?
(multivariate polynomials)
What applications are there?
important when writing a compiler to know when two types
are isomomorphic
It could interesting to split up a tree-shaped stream into seven
parts
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
42. Rich theory behind isomorphisms of polynomial types
brings together a number of fields
distributive categories
theory of rigs (semirings)
combinatorial species
type theory
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
43. Further reading
Seven Trees in one, Andreas Blass, Journal of Pure and
Applied Algebra
On the generic solution to P(X) = X in distributive
categories, Robbie Gates
Objects of Categories as Complex Numbers, Marcelo Fiore and
Tom Leinster
An Objective Representation of the Gaussian Integers, Marcelo
Fiore and Tom Leinster
http://rfcwalters.blogspot.com.au/2010/06/robbie-gates-on-
seven-trees-in-one.html
http://blog.sigfpe.com/2007/09/arboreal-isomorphisms-from-
nuclear.html
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
44. Challenge
Consider this datatype (Motzkin trees):
data Tree = Zero | One Tree | Two Tree Tree
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
45. Challenge
Consider this datatype (Motzkin trees):
data Tree = Zero | One Tree | Two Tree Tree
T = 1 + T + T2
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
46. Challenge
Consider this datatype (Motzkin trees):
data Tree = Zero | One Tree | Two Tree Tree
T = 1 + T + T2
Show that T5 ∼= T
by a nonsense argument using complex numbers
by composing bijections (the penny game)
implement the function and its inverse in a language of your
choice
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one
47. Photo credits
The Druid’s Grove, Norbury Park: Ancient Yew Trees by
Thomas Allom 1804-1872
http://www.victorianweb.org/art/illustration/allom/1.html
Mark Hopkins @antiselfdual Commonwealth Bank Seven trees in one