Computer Science Bookscomputer algorithm Books

Skiena's Algorithms Lectures

Advertisement

Skiena's Algorithms Lectures

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):

sNA Pages

Advertisement

Advertisement

Similar Books
Introduction to Algorithms Lecture Notes

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.

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
Purely Functional Data Structures

Purely Functional Data Structures

This note covers the following topics: Lazy Evaluation and S-Notation, Amortization and Persistence via Lazy Evaluation, Eliminating Amortization, Lazy Rebuilding, Numerical Representations, Data-Structural Bootstrapping, Implicit Recursive Slowdown.

s162 Pages
Introduction to the Design and Analysis of Algorithms

Introduction to the Design and Analysis of Algorithms

This note introduces a number of important algorithm design techniques as well as basic algorithms that are interesting both from a theoretical and also practical point of view. Topics covered are: Introduction to Algorithms, Asymptotic Analysis, Recurrence Equations, Sorting Algorithms, Search Trees, Randomized Algorithms and Quicksort, Selection Algorithms, Number Theory and Cryptography Algorithms, Graph algorithms, Greedy Algorithms and External Memory Algorithms.

sNA Pages
Lecture Notes  Introduction to Computer Algorithms

Lecture Notes Introduction to Computer Algorithms

This course note provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.

sNA Pages
Algorithms (Shai Simonson)

Algorithms (Shai Simonson)

This note covers the design of algorithms according to methodology and application. Methodologies include: divide and conquer, dynamic programming, and greedy strategies. Applications involve: sorting, ordering and searching, graph algorithms, geometric algorithms, mathematical (number theory, algebra and linear algebra) algorithms, and string matching algorithms.

sNA Pages
Information Retrieval (C.J. van Rijsgergen)

Information Retrieval (C.J. van Rijsgergen)

The material of this book is aimed at advanced undergraduate information (or computer) science students, postgraduate library science students, and research workers in the field of IR. Some of the chapters, particular chapter 6, make simple use of a little advanced mathematics.

sNA Pages
Introduction to Complexity Theory (Oded Goldreich)

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.

sNA Pages
Efficient Algorithms for Sorting and Synchronization (Andrew Tridgell, PDF)

Efficient Algorithms for Sorting and Synchronization (Andrew Tridgell, PDF)

This thesis presents efficient algorithms for internal and external parallel sorting and remote data update. Topics covered includes: Internal Parallel Sorting, External Parallel Sorting, The rsync algorithm, rsync enhancements and optimizations and Further applications for rsync.

s115 Pages
Lecture Notes on Computational Complexity (Luca Trevisan)

Lecture Notes on Computational Complexity (Luca Trevisan)

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

s Pages