Computer Science Bookscomputer algorithm Books

Notes on Data Structures and Programming Techniques

Advertisement

Notes on Data Structures and Programming Techniques

Notes on Data Structures and Programming Techniques

Purposes to this note is to teach you to program in the C programming language, and to teach you how to choose, implement, and use data structures and standard programming techniques. Topics coverd includes: The Zoo and the Zoo Annex, The Linux programming environment, The C programming language, Data structures and programming techniques.

Author(s):

s530 Pages
Similar Books
Lecture Notes on Design and Analysis of Algorithms

Lecture Notes on Design and Analysis of Algorithms

This note describes the following topics: Greedy methods, Dynamic programming, Backtracking, Branch and bound.

s96 Pages
Advanced Algorithms by BMS College of Engineering

Advanced Algorithms by BMS College of Engineering

he PDF covers the following topics related to Computer Algorithms : Dynamic programming, Application domain of DP, Matrix Chain Multiplication, MCP DP Steps, Recursive Tree, Longest Increasing Subsequence, Dynamic programming, Rod cutting -4 inch rod example, DP for rod cutting, Bottom up approach.

s152 Pages
Lecture Notes On Design And Analysis Of Algorithms

Lecture Notes On Design And Analysis Of Algorithms

This note covers the following topics: Design and analysis of algorithms, Growth of Functions, Recurrences, Solution of Recurrences by substitution, Recursion tree method, Master Method, Worst case analysis of merge sort, quick sort and binary search, Design and analysis of Divide and Conquer Algorithms, Heaps and Heap sort, Priority Queue, Lower Bounds for Sorting, Dynamic Programming algorithms, Matrix Chain Multiplication, Elements of Dynamic Programming, Longest Common Subsequence, Greedy Algorithms, Activity Selection Problem, Elements of Greedy Strategy, Fractional Knapsack Problem, Huffman Codes, Graph Algorithm - BFS and DFS, Minimum Spanning Trees, Kruskal algorithm, Prim's Algorithm, Fourier transforms and Rabin-Karp Algorithm.

s125 Pages
Design And Analysis Of Algorithms by Herbert Edelsbrunner

Design And Analysis Of Algorithms by Herbert Edelsbrunner

This book focuses on fundamental data structures and graph algorithms. The emphasis will be on algorithm design and on algorithm analysis.

s95 Pages
Fundamentals of Algorithms with Applications

Fundamentals of Algorithms with Applications

This note explains the following topics: Growth of functions, Basic data structures, Sorting and Selection, Fundamental techniques, Dynamic programming and Graphs, Graph algorithms, NP-Completeness and approximation algorithms, Randomized Algorithms.

sNA Pages
Advanced Algorithms by Prof. Michel Goemans

Advanced Algorithms by Prof. Michel Goemans

This note is designed for doctoral students interested in theoretical computer science. Topics covered includes: Fibonacci heaps, Network flows, Maximum flow, minimum cost circulation, Goldberg-Tarjan min-cost circulation algorithm, Cancel-and-tighten algorithm; binary search trees, Splay trees, Dynamic trees , Linear programming, LP: duality, geometry, simplex, LP: complexity, ellipsoid algorithm, LP: applications of the ellipsoid algorithm, Conic programming, Approximation algorithms, Max-cut and sparsest-cut, Multi-commodity flows and metric embeddings, Convex hulls.

sNA Pages
Design and Analysis of Algorithms Course Notes

Design and Analysis of Algorithms Course Notes

This note explains core material in data structures and algorithm design, and also helps students prepare for research in the field of algorithms. Topics covered includes: Splay Trees, Amortized Time for Splay Trees, Maintaining Disjoint Sets, Binomial heaps, F-heap, Minimum Spanning Trees, Fredman-Tarjan MST Algorithm, Light Approximate Shortest Path Trees, Matchings, Hopcroft-Karp Matching Algorithm, Two Processor Scheduling, Network Flow - Maximum Flow Problem, The Max Flow Problem and Max-Flow Algorithm.

s161 Pages
Advanced Data Structures

Advanced Data Structures

This note covers the following topics: Self adjusting data structures, amortized analysis, self adjusting lists, Splay trees, their performance and related conjectures, Hashing, FKS perfect hashing, Cuckoo hasing, dynamic perfect hashing, Fusion Trees, Fully dynamic connectivity in polylogarithmic time, Dynamic all pairs shortest paths, Linear time construction of Suffix trees and arrays, Succinct Data Structures, External memory data structures, Geometric data structures, Top trees, Retroactive data structures, Online optimal structure for planar point location.

sNA Pages
Lecture Notes On Design And Analysis Of Algorithms

Lecture Notes On Design And Analysis Of Algorithms

This note explains the following topics related to Algorithm Analysis and Design: Introduction to Design and analysis of algorithms, Growth of Functions, Recurrences, Solution of Recurrences by substitution,Recursion tree method, Master Method, Design and analysis of Divide and Conquer Algorithms, Worst case analysis of merge sort, quick sort and binary search, Heaps and Heap sort, Priority Queue, Lower Bounds for Sorting.

s80 Pages
Algorithms for Programmers (Jrg Arndt) PDF

Algorithms for Programmers (Jrg Arndt) PDF

Currently this section contains no detailed description for the page, will update this page soon.

s Pages

Advertisement