Posted by **AvaxGenius** at June 26, 2017

English | PDF | 2017 | 422 Pages | ISBN : 3319567675 | 7 MB

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas.

Posted by **roxul** at June 24, 2017

English | ISBN: 1133608426 | 2012 | 792 pages | PDF | 21 MB

Posted by **AvaxGenius** at June 24, 2017

English | PDF | 2017 | 278 Pages | ISBN : 3319568280 | 6.84 MB

This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks.

Posted by **tanas.olesya** at June 23, 2017

English | 23 Dec. 2014 | ISBN: 3319149733 | 316 Pages | PDF | 6MB

The workshop covered a diverse range of topics on algorithms and discrete mathematics, including computational geometry, algorithms including approximation algorithms, graph theory and computational complexity.

Posted by **First1** at June 23, 2017

English | 1999 | ISBN: 0672316331 | 548 Pages | True PDF | 15.16 MB

Sams Teach Yourself Data Structures and Algorithms in 24 Hours presents data structures and algorithms in an easy-to-read, easy-to-understand style, allowing you to grasp the concepts quickly and apply the knowledge to your programs. The very popular C++ programming language is used for examples and code samples.

Posted by **AvaxGenius** at June 22, 2017

English | EPUB | 2015 | 150 Pages | ISBN : 3319249703 | 2.6 MB

Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a convenient source of relevant, current topics for a graduate student or advanced undergraduate student seminar? Or perhaps you just want an enjoyable look at some beautiful mathematical and algorithmic results, ideas, proofs, concepts, and techniques in discrete mathematics and theoretical computer science?

Posted by **AvaxGenius** at June 5, 2017

English | PDF | 1996 | 392 Pages | ISBN : 3642082335 | 37.5 MB

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.

Posted by **AvaxGenius** at June 5, 2017

English | PDF | 2012 | 376 Pages | ISBN : 3642232469 | 5.6 MB

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes.

Posted by **AvaxGenius** at June 3, 2017

English | PDF | 2007 | 286 Pages | ISBN : 3540355936 | 10.7 MB

This book describes a family of algorithms for studying the global structure of systems. By a finite covering of the phase space we construct a directed graph with vertices corresponding to cells of the covering and edges corresponding to admissible transitions. The method is used, among other things, to locate the periodic orbits and the chain recurrent set, to construct the attractors and their basins, to estimate the entropy, and more.

Posted by **AvaxGenius** at June 2, 2017

English | PDF | 2017 | 355 Pages | ISBN : 3319446827 | 13.7 MB

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.