Design and Analysis of Algorithms
Selected Reading
- DAA - Discussion
- DAA - Useful Resources
- DAA - Quick Guide
- DAA - Hill Climbing Algorithm
- NP Hard & NP-Complete Classes
- DAA - Cook’s Theorem
- DAA - P and NP Class
- DAA - Vertex Cover
- DAA - Max Cliques
- Deterministic vs. Nondeterministic Computations
- DAA - Sublist Search
- DAA - Fibonacci Search
- DAA - Exponential Search
- DAA - Jump Search
- DAA - Interpolation Search
- DAA - Binary Search
- DAA - Linear Search
- Searching Techniques Introduction
- DAA - Radix Sort
- DAA - Counting Sort
- DAA - Bucket Sort
- DAA - Heap Sort
- DAA - Shell Sort
- DAA - Selection Sort
- DAA - Insertion Sort
- DAA - Bubble Sort
- DAA - Extract Method
- DAA - Heapify Method
- DAA - Insert Method
- DAA - Binary Heap
- Optimal Cost Binary Search Trees
- DAA - Multistage Graph
- DAA - Shortest Paths
- DAA - Spanning Tree
- Travelling Salesperson Approximation Algorithm
- Set Cover Problem
- Vertex Cover Problem
- Approximation Algorithms
- Fisher-Yates Shuffle
- Karger’s Minimum Cut
- Randomized Quick Sort
- Randomized Algorithms
- Travelling Salesman Problem | Dynamic Programming
- Longest Common Subsequence
- DAA - 0-1 Knapsack
- Floyd Warshall Algorithm
- Matrix Chain Multiplication
- DAA - Dynamic Programming
- DAA - Optimal Merge Pattern
- DAA - Job Sequencing with Deadline
- DAA - Fractional Knapsack
- Map Colouring Algorithm
- Dijkstra’s Shortest Path Algorithm
- Kruskal’s Minimal Spanning Tree
- Travelling Salesman Problem
- DAA - Greedy Method
- Towers of Hanoi
- Karatsuba Algorithm
- Strassen’s Matrix Multiplication
- DAA - Binary Search
- DAA - Merge Sort
- DAA - Max-Min Problem
- DAA - Divide & Conquer
- DAA - Space Complexities
- Master’s Theorem
- Time Complexity
- Asymptotic Notations & Apriori Analysis
- DAA - Methodology of Analysis
- DAA - Analysis of Algorithms
- DAA - Introduction
- Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
DAA - Discussion
Discuss Design and Analysis of Algorithms
An Algorithm is a sequence of steps to solve a problem. Design and Analysis of Algorithm is very important for designing algorithm to solve different types of problems in the branch of computer science and information technology. This tutorial introduces the fundamental concepts of Designing Strategies, Complexity analysis of Algorithms, followed by problems on Graph Theory and Sorting methods. This tutorial also includes the basic concepts on Complexity theory.
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