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Found materials: 237

Related tags: applications, computer, practical, genetic, analysis, theory, programming, knuth, structures, learning

Books: Numerical Optimization: Theoretical and Practical Aspects

Numerical Optimization: Theoretical and Practical Aspects


?Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as …

Books: Practical handbook of genetic algorithms. Complex coding systems (Vol. 3)
Chambers D.L., 1999

Practical handbook of genetic algorithms. Complex coding systems (Vol. 3)


Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practition…

Books: Polynomial and matrix computations. Fundamental algorithms. Vol.1
Bini D., Pan V.Y., 1994

Polynomial and matrix computations. Fundamental algorithms. Vol.1


Matrix and polynomial computations are fundamental to the theory and practice of computing. The authors present a systematic treatment of algorithms and complexity in these two related areas. Their st…

Books: Computational geometry in C
O, 2001

Computational geometry in C


This is the newly revised and expanded edition of the popular introduction to the design and implementation of geometry algorithms arising in areas such as computer graphics, robotics, and engineering…

Books: The design of the UNIX operating system
Bach M.J., 1986

The design of the UNIX operating system


This is the first, and still, the most comprehensive book to describe the sophisticated workings of the UNIX System V kernel — the internal algorithms, the structures that form the basis of the UNIX o…

Books: Learning Kernel Classifiers. Theory and Algorithms
Herbrich R., 2002

Learning Kernel Classifiers. Theory and Algorithms


Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier — a limited, but well-established and comprehen…




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