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Categories Free Downloadable Data Structures and Algorithms eBooks! Bookmark and Share
Tabu Search
Tabu search is a mathematical optimization method, belonging to the class of local search techniques. The goal of this book is to report original researches on algorithms and applications of Tabu Search to real-world problems as well as recent improvements and extensions on its concepts and algorithms. It provides a grounding in the essential ideas of tabu search that will allow readers to create successful applications of their own. Along with the essential ideas, understanding of advanced issues is provided, enabling researchers to go beyond today's developments and create the methods of tomorrow.
Text Algorithms
It is very convenient to have this book at hand. It is the first book that systematically presents the results of work on practical and theoretical algorithmic problems on texts up to the most recent developments in stringology.

Planning Algorithms
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding.

Lecture Notes for the Algorithms
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. This lecture notes uniquely combines rigor and comprehensiveness.

The Art of Computer Programming, Volume 4, Combinatorial Algorithms
This multivolume work on the analysis of algorithms has long been recognized as the definitive description of classical computer science. The three complete volumes published to date already comprise a unique and invaluable resource in programming theory and practice. Countless readers have spoken about the profound personal influence of Knuth�s writings. Scientists have marveled at the beauty and elegance of his analysis, while practicing programmers have successfully applied his �cookbook� solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books.
A Practical Introduction to Data Structures and Algorithm Analysis in C++ and Java
This practical text contains fairly 'traditional' coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself. Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation. For programmers who need a good reference on data structures.
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal.

Global Optimization Algorithms: Theory and Application, 2nd Edition
This e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by dis- cussing evolutionary algorithms, genetic algorithms, Genetic Programming, Learning Classi- fier Systems, Evolution Strategy, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization. It also elaborates on other metaheuristics like Simulated An- nealing, Extremal Optimization, Tabu Search, and Random Optimization.
Essentials of Metaheuristics
Metaheuristics is a common but unfortunate name for any stochastic optimization algorithm intended to be the last resort before giving up and using random or brute-force search. Such algorithms are used for problems where you don't know how to find a good solution, but if shown a candidate solution, you can give it a grade. The algorithmic family includes genetic algorithms, hill-climbing, simulated annealing, ant colony optimization, particle swarm optimization, and so on.

Optimization Algorithms on Matrix Manifolds
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms. It places careful emphasis on both the numerical formulation of the algorithm and its differential geometric abstraction--illustrating how good algorithms draw equally from the insights of differential geometry, optimization, and numerical analysis.
Data Structures and Algorithms: Annotated Reference with Examples
Every book has a story as to how it came about and this one is no different, although we would be lying if we said its development had not been somewhat impromptu.
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