Fundamentals of Algorithms with Applications

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

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.

Author(s): Dr. Subasish Mohapatra

125 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

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.

Author(s): Michael T. Goodrich

NA Pages

Distributed Algorithms Lecture Notes

Distributed algorithms are algorithms designed to run on multiple processors, without tight centralized control. Topics covered includes: Variations in model assumptions, Top-level organization is by the timing model, Synchronous model, Asynchronous model, Partially synchronous model, Synchronous networks.

Author(s): Prof. Nancy Lynch

NA Pages

Advanced Algorithms Lectures and Resources

This note will cover classic and modern algorithmic ideas that are central to many areas of Computer Science. The focus is on most powerful paradigms and techniques of how to design algorithms, and measure their efficiency. The topics will include hashing, sketching, dimension reduction, linear programming, spectral graph theory, gradient descent, multiplicative weights, compressed sensing, and others.

Author(s): Alex Andon

NA Pages

Analysis and Design of Computer Algorithms by Ganesh Kumar

This note covers the following topics: Divide And Conquer Strategy, Greedy Method, Minimum Spanning Trees, Dynamic Programming, Optimal Binary search trees, Backtracking Method, Branch and Bound, Lower bound Theory.

Author(s): Sh. Ganesh Kumar

85 Pages

Skiena's Algorithms Lectures

This note covers the following topics: Introduction to Algorithms, Asymptotic Notation, Modeling or Logarithms, Elementary Data Structures, Dictionary data structures, Sorting, Heapsort or Priority Queues, Recurrence Relations, Introduction to NP-completeness, Reductions, Cook's Theorem or Harder Reduction, NP-completeness challenge, Approximation Algorithms and Heuristic Methods.

Author(s): Steven Skiena

NA Pages

Lecture Notes on Algorithms

This lecture note explains data structures and algorithms, focusing on advanced topics such as graph theory, randomized algorithms, and combinatorial search.

Author(s): Ray Toal

NA Pages

Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

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

Author(s):

Pages