The document discusses binary trees and their properties. It defines binary trees and provides terminology used to describe them, such as nodes, levels, paths, and heights. It describes different types of binary trees like complete, full, and binary search trees. It discusses common traversal methods for binary trees like breadth-first and depth-first. It also covers insertion and deletion of nodes in binary trees, describing approaches like merging subtrees and copying values.
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we know that binary trees are the ones that we use frequently for storing the data. Trees are preferred to linked lists,arrays because of its time complexity of O(logn). which trees will satisfy this condition that we have to know it.
Tree and Binary search tree in data structure.
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Difference between complete,ordered,full,strict,perfect and balanced binary treeAjay Chimmani
we know that binary trees are the ones that we use frequently for storing the data. Trees are preferred to linked lists,arrays because of its time complexity of O(logn). which trees will satisfy this condition that we have to know it.
Tree and Binary search tree in data structure.
The complete explanation of working of trees and Binary Search Tree is given. It is discussed such a way that everyone can easily understand it. Trees have great role in the data structures.
presentation on binary search trees for the subject analysis and design of algorithms, helpful to especially GTU students and computer and IT engineers
introduction to binary tree , binary search tree, operations of binary search tree, insertion, deletions, search. 3 cases of deletions, graph tree of binary search tree, complaxcity, notations,algorithms, Data Analysis
This Presentation will Clear the idea of non linear Data Structure and implementation of Tree by using array and pointer and also Explain the concept of Binary Search Tree (BST) with example
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presentation on binary search trees for the subject analysis and design of algorithms, helpful to especially GTU students and computer and IT engineers
introduction to binary tree , binary search tree, operations of binary search tree, insertion, deletions, search. 3 cases of deletions, graph tree of binary search tree, complaxcity, notations,algorithms, Data Analysis
This Presentation will Clear the idea of non linear Data Structure and implementation of Tree by using array and pointer and also Explain the concept of Binary Search Tree (BST) with example
Lecture on Java Concurrency Day 3 on Feb 11, 2009.Kyung Koo Yoon
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See http://javadom.blogspot.com/2011/06/lecture-on-java-concurrency-day-3.html
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Advanced Introduction to Java Multi-Threading - Full (chok)choksheak
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Lection is one of the course "Discrete Mathematics." More detailed information about the programs of the Economic Cybernetics Department SumDU you could find here: https://ek.biem.sumdu.edu.ua/courses
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
2. Linked Lists SuckLinked Lists Suck
By now you realize that the title to this slide isBy now you realize that the title to this slide is
true…true…
When we are talking about searching orWhen we are talking about searching or
representing data structures that need arepresenting data structures that need a
hierarchical structures.hierarchical structures.
We need a better structure…We need a better structure…
So we get binary treesSo we get binary trees
3. Tree definitionTree definition
Here is a (recursive, of course) definition forHere is a (recursive, of course) definition for
a tree:a tree:
1.1. An empty structure is an empty treeAn empty structure is an empty tree
2.2. If t1,…,tk are disjointed trees, then theIf t1,…,tk are disjointed trees, then the
structure whose root has as its children thestructure whose root has as its children the
roots of t1,…,tk is also a treeroots of t1,…,tk is also a tree
3.3. Only structures generate by rules 1 and 2 areOnly structures generate by rules 1 and 2 are
trees.trees.
4. More terminologyMore terminology
Each node has to be reachable from the rootsEach node has to be reachable from the roots
through a unique sequence of arcs called athrough a unique sequence of arcs called a
path.path.
The number of arcs in a path is called theThe number of arcs in a path is called the
length of the path.length of the path.
The level of a node is the length of the pathThe level of a node is the length of the path
from the root to the node plus 1.from the root to the node plus 1.
The height of a non-empty tree is theThe height of a non-empty tree is the
maximum level of a node in the tree.maximum level of a node in the tree.
5. Special TreesSpecial Trees
An empty tree has a height of zero.An empty tree has a height of zero.
A single node tree is a tree of height 1.A single node tree is a tree of height 1.
This is the only case where a node is both a rootThis is the only case where a node is both a root
and a leaf.and a leaf.
6. Binary TreesBinary Trees
According to the definition of trees, a node canAccording to the definition of trees, a node can
have any number of children.have any number of children.
A binary tree is restricted to only having 0, 1,A binary tree is restricted to only having 0, 1,
or 2 children.or 2 children.
A complete binary tree is one where all theA complete binary tree is one where all the
levels are full with exception to the last levellevels are full with exception to the last level
and it is filled from left to right.and it is filled from left to right.
A full binary tree is one where if a node has aA full binary tree is one where if a node has a
child, then it has two children.child, then it has two children.
7. Full Binary Tree TheoremFull Binary Tree Theorem
For all the nonempty binary trees whoseFor all the nonempty binary trees whose
nonterminal node have exactly two nonemptynonterminal node have exactly two nonempty
children, the number of leaveschildren, the number of leaves mm is greateris greater
than the number of nonterminal nodethan the number of nonterminal node kk andand mm
== kk + 1.+ 1.
8. Binary Search TreesBinary Search Trees
A binary search tree (BST) is a binary tree thatA binary search tree (BST) is a binary tree that
has the following property: For each nodehas the following property: For each node nn ofof
the tree, all values stored in its left subtree arethe tree, all values stored in its left subtree are
less than valueless than value vv stored instored in nn, and all values, and all values
stored in the right subtree are greater thanstored in the right subtree are greater than vv..
This definition excludes the case of duplicates.This definition excludes the case of duplicates.
They can be include and would be put in theThey can be include and would be put in the
right subtree.right subtree.
9. Binary Tree TraversalsBinary Tree Traversals
A traversal is where each node in a tree isA traversal is where each node in a tree is
visited and visited oncevisited and visited once
For a tree of n nodes there are n! traversalsFor a tree of n nodes there are n! traversals
Of course most of those are hard to programOf course most of those are hard to program
There are two very common traversalsThere are two very common traversals
Breadth FirstBreadth First
Depth FirstDepth First
10. Breadth FirstBreadth First
In a breadth first traversal all of the nodes on aIn a breadth first traversal all of the nodes on a
given level are visited and then all of the nodesgiven level are visited and then all of the nodes
on the next level are visited.on the next level are visited.
Usually in a left to right fashionUsually in a left to right fashion
This is implemented with a queueThis is implemented with a queue
11. Depth FirstDepth First
In a depth first traversal all the nodes on aIn a depth first traversal all the nodes on a
branch are visited before any others are visitedbranch are visited before any others are visited
There are three common depth first traversalsThere are three common depth first traversals
InorderInorder
PreorderPreorder
PostorderPostorder
Each type has its use and specific applicationEach type has its use and specific application
12. InsertionInsertion
In order to build a tree you must be able toIn order to build a tree you must be able to
insert into the treeinsert into the tree
In order to do this you need to know where theIn order to do this you need to know where the
nodes goesnodes goes
Typically the tree is searched looking for aTypically the tree is searched looking for a
null pointer to hang the new element fromnull pointer to hang the new element from
There are two common ways to do thisThere are two common ways to do this
Use a look ahead or check for null as the firstUse a look ahead or check for null as the first
line in the codeline in the code
13. More insertionMore insertion
I prefer to check for null as the first thing I doI prefer to check for null as the first thing I do
in my codein my code
It simplifies some of the testsIt simplifies some of the tests
And makes for a really easy to check for baseAnd makes for a really easy to check for base
casecase
14. CodeCode
InsertionHelper( Node *n, T data )InsertionHelper( Node *n, T data )
{{
if ( node == 0 )if ( node == 0 )
return new Node( data );return new Node( data );
if ( n->getData() < data )if ( n->getData() < data )
setLeft( InsertionHelper( n->getLeft(), data);setLeft( InsertionHelper( n->getLeft(), data);
elseelse
setRight( InsertionHelper( n->getRight(), data);setRight( InsertionHelper( n->getRight(), data);
}}
15. DeletionDeletion
Deletion poses a bigger problemDeletion poses a bigger problem
When we delete we normally have two choicesWhen we delete we normally have two choices
Deletion by mergingDeletion by merging
Deletion by copyingDeletion by copying
16. Deletion by MergingDeletion by Merging
Deletion by merging takes two subtrees andDeletion by merging takes two subtrees and
merges them together into one treemerges them together into one tree
The idea is you have a node n to deleteThe idea is you have a node n to delete
N can have two childrenN can have two children
So you find the smallest element in n’s leftSo you find the smallest element in n’s left
subtreesubtree
You then take n’s right subtree and merge it toYou then take n’s right subtree and merge it to
the bottom of the left subtreethe bottom of the left subtree
The root of the left subtree replaces nThe root of the left subtree replaces n
17. Deletion by copyingDeletion by copying
This will simply swap values and reduce aThis will simply swap values and reduce a
difficult case to an easier onedifficult case to an easier one
If the node n to be deleted has no children,If the node n to be deleted has no children,
easy blow it awayeasy blow it away
If it has one childIf it has one child
Easy simply pass n’s child pointer up, make n’sEasy simply pass n’s child pointer up, make n’s
parent point to n’s child and blow n awayparent point to n’s child and blow n away
If n has two child,If n has two child,
Now we have deletion by copyingNow we have deletion by copying
18. DetailsDetails
We find the smallest value in n’s right subtreeWe find the smallest value in n’s right subtree
We will take the value from that node and putWe will take the value from that node and put
it in place of the value in nit in place of the value in n
We will then blow away the node that had theWe will then blow away the node that had the
smallest value in itsmallest value in it