Design and analysis of algorithms by aa puntambekar ebook

7.96  ·  1,607 ratings  ·  185 reviews
Posted on by
design and analysis of algorithms by aa puntambekar ebook

A.A. Puntambekar (Author of Design & Analysis of Algorithms for JNTU)

File Name: design and analysis of algorithms by aa puntambekar ebook.zip
Size: 99844 Kb
Published 31.12.2018

Analysis and Design of Algorithms

My account Log in Register. You have no items in your shopping cart. Anna University. GTU Text. RGPV Text.

Data Structures And Algorithms. Chapter 13 Algorithm Design and Analysis to Chapter6 Recursion 61to Solved Exercise Review Questions 7.

Analysis And Design Of Algorithms. What is an algorithm? Fundamentals of algorithmic problem solving, Important problem types, Fundamental data structures. Fundamentals of the Analysis of Algorithm Efficiency : Analysis framework. Asymptotic notations and basic efficiency classes, Mathematical analysis of nonrecursive and recursive algorithms, Example - Fibonacci numbers.

Description:

What is an algorithm? Fundamentals of algorithmic problem solving, Important problem types, Fundamental data structures. Fundamentals of the Analysis of Algorithm Efficiency : Analysis framework. Asymptotic notations and basic efficiency classes, Mathematical analysis of nonrecursive and recursive algorithms, Example - Fibonacci numbers. Brute Force : Selection sort and bubble sort, Sequential search and brute-force string matching, Exhaustive search. Divide and Conquer : Mergesort, Quicksorst, Binary search.

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? Introduction Analysis of algorithm efficiency:- Analysis framework - Asymptotic notations - Analysis of non-recursive and recursive algorithms. Amortized analysis, Writing characteristic polynomial equations, Solving recurrence equations, Proof techniques : By contradiction, By mathematical induction, Direct proofs, Proof by counterexample, Proof by contraposition. Dynamic Programming General strategy, Principle of optimality, Warshalls and Floyds algorithm - Optimal binary search trees - Knapsack problem. Backtracking General method - Recursive backtracking algorithm, Iterative backtracking method. Traveling sales person problem.

2 thoughts on “A.A. Puntambekar (Author of Design & Analysis of Algorithms for JNTU)

  1. Concepts of AlgorithmsNotion of algorithm, Fundamentals of algorithmic solving, Important problem types, Fundamentals of the analysis framework, Asymptotic notations and basic efficiency classes.

Leave a Reply