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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.
Author(s): BMS College of Engineering
152 Pages
Advanced Algorithms by Anupam Gupta
The PDF covers the following topics related to Computer Algorithms : Discrete Algorithms, Minimum Spanning Trees, Arborescences: Directed Spanning Trees, Dynamic Algorithms for Graph Connectivity, Shortest Paths in Graphs, Low-Stretch Spanning Trees, Graph Matchings I: Combinatorial Algorithms, Graph Matchings II: Weighted Matchings, Graph Matchings III: Algebraic Algorithms, The Curse of Dimensionality, and Dimension Reduction, Dimension Reduction and the JL Lemma, Streaming Algorithms, Dimension Reduction: Singular Value Decompositions, From Discrete to Continuous Algorithms, Online Learning: Experts and Bandits, Solving Linear Programs using Experts, Approximate Max-Flows using Experts, The Gradient Descent Framework, Mirror Descent, The Centroid and Ellipsoid Algorithms, Interior-Point Methods, Combating Intractability, Approximation Algorithms via SDPs, Online Algorithms, Additional Topics, Prophets and Secretaries.
Author(s): Anupam Gupta
309 Pages
Introduction to Algorithms Lecture Notes
This note concentrates on the design of algorithms and the rigorous analysis of their efficiency. Topics covered includes: the basic definitions of algorithmic complexity, basic tools such as dynamic programming, sorting, searching, and selection; advanced data structures and their applications, graph algorithms and searching techniques such as minimum spanning trees, depth-first search, shortest paths, design of online algorithms and competitive analysis.
Author(s): Michael Dinitz
NA Pages
Design and Analysis of Algorithms
This is an intermediate algorithms course note with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.
Author(s): Prof. Erik Demaine, Prof. Srinivas Devadas and Prof. Nancy Lynch
NA Pages
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.
Author(s): Mr. S.K. Sathua, Dr. M.R. Kabat and Dr. R. Mohanty
80 Pages
Design and Analysis of Computer Algorithms (PDF 135P)
This lecture note discusses the approaches to designing optimization algorithms, including dynamic programming and greedy algorithms, graph algorithms, minimum spanning trees, shortest paths, and network flows. Also it briefly discusses algorithmic problems arising from geometric settings, that is, computational geometry.
Author(s): David M. Mount
135 Pages
Computer Programming Algorithms Directory
This note covers the following topics: Encryption Algorithms, Genetic Algorithms, Geographic Information Systems Algorithms, Sorting Algorithms, Search Algorithms, Tree Algorithms, Computational Geometry Algorithms, Phonetic Algorithms and Project Management Algorithms.
Author(s): algosort.com
NA Pages
Introduction to Complexity Theory (Oded Goldreich)
This book explains the following topics: intrinsic complexity of computational tasks, Computational Complexity, P, NP, and NP-Completeness, relations between various computational phenomena.
Author(s): Oded Goldreich
NA Pages
Dictionary of Algorithms and Data Structures
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Author(s):
Pages
Algorithms for Programmers (Jrg Arndt)
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