Ds01 data structure introduction - by jyoti lakhani
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The document discusses data structures and algorithms. It defines data structures as an organization of data that makes data more manageable and solutions easier to find. Algorithms are defined as a set of step-by-step instructions that provide a solution to a problem. The key difference between an algorithm and a program or process is that an algorithm is written during the planning stage in a natural language, while programs and processes are written in programming languages and binary for compilation and runtime.
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A double-ended queue (DEQueue) allows nodes to be added and removed from both the front and rear ends. It supports four basic operations - insertion and deletion from the front and rear. The document describes the DEQueue data structure and provides pseudocode for handling cases when inserting or deleting from an empty versus non-empty queue.
Tree terminology and introduction to binary tree
Trees are hierarchical data structures where data items have a parent-child relationship. There are several ways to represent trees in memory, including array and linked list representations. Array representation stores tree nodes sequentially in an array, where the index of each node can be used to determine its parent, left child, right child, and siblings according to specific formulas. For example, the parent of node at index n is located at (n-1)/2, the left child is at 2n+1, and the right child is at 2n+2. Array representation allows trees to be traversed and manipulated efficiently.
Priority queue
A priority queue is a queue that allows nodes to be added and deleted based on priority or preference. Nodes with higher priority are inserted at the front of the queue and lower priority nodes are added to the back. When deleting from the queue, the highest priority or first node is always removed first.
Ds006 linked list- delete from front
This C++ program implements functions to perform operations on a singly linked list:
1. A create_node function allocates and returns a new node with the given value.
2. An insert_begin function inserts a new node at the beginning of the list, updating the start pointer.
3. A delete_begin function deletes the node at the beginning of the list, updating the start pointer and deallocating the node.
4. A display function traverses the list and prints out the values of each node.
Ds06 linked list- insert a node after a given node
The document discusses inserting a node into a linked list after a given node. It describes linked lists as a linear data structure that stores multiple values in nodes connected by pointers. The algorithm for inserting a node after a given node is presented:
1. Find the node before the given node by traversing the list and comparing node values
2. Set the next pointer of the new node to the node after the given node
3. Set the next pointer of the node before the given node to the new node
This inserts the new node between the node before and after the given node in the linked list.
Ds06 linked list- insert a node at end
This document discusses inserting a node into a linked list at the end. It explains that to insert a node at the end, you first check if the list is empty and if so make the new node the start. If the list is not empty, you iterate through the list with a pointer ptr until ptr->next is NULL, at which point you set ptr->next to the new node and new_node->next to NULL. Diagrams are included to visualize the process. The algorithm runs in O(n) time where n is the number of nodes in the list.
Ds06 linked list- insert a node at beginning
The document discusses linked lists and operations on linked lists such as insertion and deletion of nodes. It specifically describes an algorithm to insert a node at the beginning of a linked list. The algorithm first checks if the list is empty, and if so makes the new node the start. If the list is not empty, it sets the next pointer of the new node to the current start node, and then makes the new node the new start.
Ds06 linked list- intro and create a node
A linked list is a linear data structure that stores multiple values in nodes that are connected by pointers. Each node contains a data field for its value and a pointer field linking to the next node. This allows flexible and efficient insertion and removal of nodes anywhere in the list. The document outlines the basic structure of a linked list and node, and provides pseudocode for creating a new node by allocating memory, inserting the data value, and initializing the next pointer to NULL.
Ds04 abstract data types (adt) jyoti lakhani
An abstract data type (ADT) defines a pen as a collection of related data items including type, brand, color, and price along with operations such as write. An ADT describes what data and operations are involved without specifying how they are implemented, focusing on the essential properties and behaviors. A data structure then provides the physical implementation of an ADT, realizing how the data and operations are structured and processed.
Ds03 part i algorithms by jyoti lakhani
The document defines an algorithm as a finite sequence of unambiguous instructions to solve a problem and produce an output from given inputs. It notes that algorithms have advantages like being easy to plan, implement, understand and debug. The key aspects of algorithms discussed are that they must be step-by-step, unambiguous and able to solve problems in a finite amount of time. The document also discusses analyzing and choosing between algorithms, as well as designing, proving, coding and analyzing algorithms.
Ds03 algorithms jyoti lakhani
The document discusses algorithms, defining them as unambiguous step-by-step instructions to solve a problem within a finite time. It notes that algorithms can be represented in various ways like pseudo-code or flowcharts. The key aspects of algorithms covered include analyzing their time and space complexity, choosing appropriate data structures, proving their correctness, and coding them efficiently. The document emphasizes understanding the problem fully before designing an algorithm and choosing techniques like greedy or divide-and-conquer approaches.
Ds02 flow chart and pseudo code
The document discusses flow charts and pseudo code. It provides an overview of flow chart symbols and conventions, examples of algorithms expressed as both a flow chart and pseudo code, guidelines for writing pseudo code, and conventions commonly used in pseudo code.
Ds01 data structure introduction - by jyoti lakhani
The document discusses data structures and algorithms. It explains that data structures organize data in a way that makes it easy to access, manipulate, and update. Using the correct data structure for a problem makes the problem more manageable and finding a solution easier. Algorithms provide step-by-step instructions to solve problems and are implemented using data structures. They allow complex problems to be broken down into smaller, modular problems.
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
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Key Topics Covered
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5th LF Energy Power Grid Model Meet-up Slides
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Ds01 data structure introduction - by jyoti lakhani
- 1. 8/14/2020 1© Dr. Jyoti Lakhani Data Structure+ Organization of data items in such a way that it is easy to - Access, Manipulate & Update Data become more manageable if we use right data structure for a problem It will be easy to find solution of a problem if correct data structure has been used What? Why?
- 2. 8/14/2020 2 One example of data structure is table – (Matrix/ 2D Array) 101 102 103 Anu Radha Ram Roll Number Name 101 Anu 102 Radha 103 Ram Where a Data Structure is going to be stored in my computer’s memory? When Data Structure is going to be stored ? How Data Structure is going to be stored ? Table 1 © Dr. Jyoti Lakhani
- 3. 8/14/2020 3 Where a Data Structure is going to be stored in my computer’s memory? Computer Memory Primary Secondary Where? RAM ROM HDD © Dr. Jyoti Lakhani
- 4. 8/14/2020 4 OS Kernel RAM HDD Program 1 Program 1 Table1 Process Where? RUNTIME When? © Dr. Jyoti Lakhani
- 5. 8/14/2020 5© Dr. Jyoti Lakhani 1 2 101 Anu A V 102 Radha 11 XX 103 Ram R 111 Roll Number Name 101 Anu 102 Radha 103 Ram 1 2 A V 11 XX R 111 Linear Arrangement of Data How?
- 6. 8/14/2020 6© Dr. Jyoti Lakhani Roll Number Name 101 Anu 102 Radha 103 Ram 1 2 A V 11 XX R 111 1 2 103 A VRadha 11 XX Ram R 111 Anu 101 102 Discrete Arrangement of Data How?
- 7. 8/14/2020 7© Dr. Jyoti Lakhani Data Structure is a conceptual programming construct You can not save a data structure in HDD for future use These are run time entities
- 8. 8/14/2020 8© Dr. Jyoti Lakhani Data Structure is a conceptual programming construct You can not save a data structure in HDD for future use These are run time entities
- 9. 8/14/2020 9© Dr. Jyoti Lakhani Data Structure Linear Non-Linear Array Queue Stack Linked List Tree Graph
- 10. modular way means to break a complex problem in smaller problem (modules) Advantage: Easy to Plan Easy to implement Easy to understand Easy to debug (find errors) Easy to Test The process of implementation of a solution of a complex problem using Data Structure is Complex and very lengthy It is important to plan the steps of such problems before implementing solutions And To solve such problem in modular way This can be done using ALGORITHMS
- 11. What? A set of Step by Step Instructions that provide a solution to a problem Algorithm ”a finite sequence of well-defined, computer-implementable instructions” - Wiki “An algorithm is any well-defined computational procedure that takes some value, or set of values, as input and produces some value, or set of values, as output” -Coreman
- 12. AlgorithmINPUT OUTPUT Question : This is a program/process also do. Then What is the Difference? ProgramINPUT OUTPUT ProcessINPUT OUTPUT During Planning During Compilation During Runtime Written in Natural Language Written in Programming Language Written in Binary Language
- 13. Algorithm in a general language that is easily understandable Natural Language like English It is a convention to use Pseudo code or Flow Charts etc. can be written in Diagrammatic RepresentationSymbolic Instruction
- 14. 8/14/2020 14© Dr. Jyoti Lakhani