Learn Design And Analysis Of Algorithms In 24 Hours
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Learn Design and Analysis of Algorithms in 24 Hours
Table Of Content Chapter 1: Greedy Algorithm with Example: What is, Method and Approach What is a Greedy Algorithm? History of Greedy Algorithms Greedy Strategies and Decisions Characteristics of the Greedy Approach Why use the Greedy Approach? How to Solve the activity selection problem Architecture of the Greedy approach Disadvantages of Greedy Algorithms Chapter 2: Circular Linked List: Advantages and Disadvantages What is a Circular Linked List? Basic Operations in Circular Linked lists Insertion Operation Deletion Operation Traversal of a Circular Linked List Advantages of Circular Linked List Disadvantages of Circular Linked List Singly Linked List as a Circular Linked List Applications of the Circular Linked List Chapter 3: Array in Data Structure: What is, Arrays Operations [Examples] What are Arrays? Concept of Array Why do we need arrays? Creating an Array in Python Ways to Declare an Array in Python Array Operations Creating an Array in C++ Array Operations in C++ Array Operations in Java Chapter 4: B TREE in Data Structure: Search, Insert, Delete Operation Example What is a B Tree? Why use B-Tree History of B Tree Search Operation Insert Operation Delete Operation Chapter 5: B+ TREE : Search, Insert and Delete Operations Example What is a B+ Tree? Rules for B+ Tree Why use B+ Tree B+ Tree vs. B Tree Search Operation Insert Operation Delete Operation Chapter 6: Breadth First Search (BFS) Algorithm with EXAMPLE What is BFS Algorithm (Breadth-First Search)? What is Graph traversals? The architecture of BFS algorithm Why do we need BFS Algorithm? How does BFS Algorithm Work? Example BFS Algorithm Rules of BFS Algorithm Applications of BFS Algorithm Chapter 7: Binary Search Tree (BST) with Example What is a Binary Search Tree? Attributes of Binary Search Tree Why do we need a Binary Search Tree? Types of Binary Trees How Binary Search Tree Works? Important Terms Chapter 8: Binary Search Algorithm with EXAMPLE What is Search? What is Binary Search? How Binary Search Works? Example Binary Search Why Do We Need Binary Search? Chapter 9: Linear Search: Python, C++ Example What is Searching Algorithm? What is Linear Search? What does Linear Search Function do? How does Linear Search work? Pseudo Code for Sequential Search Algorithm C++ Code Example Linear Search Python Code Example Linear Search Complexity Analysis of Linear Search Algorithm How to improve Linear Search Algorithm Application of Linear Search Algorithm Chapter 10: Bubble Sort Algorithm with Python using List Example What is a Bubble Sort? Implementing the Bubble Sort Algorithm Optimized Bubble Sort Algorithm Visual Representation Python Examples Code Explanation Bubble sort advantages Bubble sort Disadvantages Complexity Analysis of Bubble Sort Chapter 11: Selection Sort: Algorithm explained with Python Code Example What is Selection Sort? How does selection sort work? Problem Definition Solution (Algorithm) Visual Representation Selection Sort Program using Python 3 Code Explanation Time Complexity Of Selection Sort When to use selection sort? Advantages of Selection Sort Disadvantages of Selection Sort Chapter 12: Hash Table in Data Structure: Python Example What is Hashing? What is a Hash Table? Hash functions Qualities of a good hash function Collision Hash table operations Hash Table Implementation with Python Example Hash Table Code Explanation Python Dictionary Example Complexity Analysis Real-world Applications Advantages of hash tables Disadvantages of hash tables Chapter 13: Tree Traversals (Inorder, Preorder, Postorder): C,Python, C++ Examples What is Tree Traversal? Types of Tree Traversal Breadth-First Traversal Inorder Traversal Bianry Tree Post-Order Traversal Preorder Traversal Implementation in Python: Implementation in C: Implementation of C++ (Using std:queue for level order): Chapter 14: Binary Tree in Data Structure (EXAMPLE) What is a Binary Tree? What are the Differences Between Binary Tree and Binary Search Tree? Example of Binary Search Trees Types of Binary Tree: Implementation of Binary Tree in C and C++: Implementation of Binary Tree in Python Application of Binary Tree: Chapter 15: Combination Algorithm: Print all possible combinations of r | C,C++,Python What is the Combination? The time complexity analysis for Combination Method-1: Fixed element with recursion Method 2 (Include and Exclude every element): Handling Duplicate Combinations Using a dictionary or unordered map to track duplicate combinations Chapter 16: Longest Common Subsequence: Python, C++ Example What is Longest Common Subsequence? Naive Method Optimal Substructure Recursive Method of Longest Comm Sequence Dynamic Programming method of Longest Common Subsequence (LCS) Chapter 17: Dijisktra's Algorithm: C++, Python Code Example What is the shortest path or shortest distance? How Dijkstra’s Algorithm Works Difference Between Dijkstra and BFS, DFS 2D grid demonstration of how BFS works Example of Dijkstra’s Algorithm C++ implementation Dijkstra’s Algorithm Python implementation Dijkstra’s Algorithm Application of Dijkstra Algorithm Limitation of Dijkstra’s Algorithm
The Design and Analysis of Efficient Learning Algorithms
This monograph describes results derived from the mathematically oriented framework of computational learning theory.
LISS 2021
This book aims to provide new research methods, theories and applications from various areas of management and engineering. In detail, the included scientific papers analyze and describe communication processes in the fields of logistics, informatics, service sciences and other related areas. The variety of the papers delivers added value for both scholars and practitioners. Information and communication technologies have been providing an effective network infrastructure and development platform for logistics and service operations. To meet the needs of consumers and to promote core competences, many institutions and firms have been developing new types of services. This proceeding focus on “AI and data driven technical and management innovation in logistics, informatics and services.” In detail, the included scientific papers analyze the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. This book is the documentation of the conference “11th International Conference on Logistics, Informatics and Service Sciences,” which took place at the Shandong University. Due to the impact of COVID-19, LISS 2021 took place online as a virtual conference.