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Genetic Programming Theory and Practice III, Tina Yu; Rick Riolo; Bill Worzel


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Цена: 23058.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Tina Yu; Rick Riolo; Bill Worzel
Название:  Genetic Programming Theory and Practice III
ISBN: 9781441939210
Издательство: Springer
Классификация:




ISBN-10: 1441939210
Обложка/Формат: Paperback
Страницы: 326
Вес: 0.50 кг.
Дата издания: 2005
Серия: Genetic Programming
Язык: English
Издание: 1st ed. softcover of
Иллюстрации: 70 black & white tables, biography
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP).


A Primer on Scientific Programming with Python

Автор: Langtangen Hans Petter
Название: A Primer on Scientific Programming with Python
ISBN: 3662498863 ISBN-13(EAN): 9783662498866
Издательство: Springer
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Цена: 4890.00 р. 6986.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015

Genetic Programming Theory and Practice VII

Автор: Rick Riolo; Una-May O`Reilly; Trent McConaghy
Название: Genetic Programming Theory and Practice VII
ISBN: 1441916253 ISBN-13(EAN): 9781441916259
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on the annual Genetic Programming Theory and Practice workshop, this text discusses the latest in GP theory and practice and how each affects the other. It also addresses GP applications and hurdles encountered in utilizing them.

Genetic Programming Theory and Practice XIII

Автор: Rick Riolo; Bill Worzel; Mark Kotanchek; Arthur Ko
Название: Genetic Programming Theory and Practice XIII
ISBN: 3319342215 ISBN-13(EAN): 9783319342214
Издательство: Springer
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Цена: 13275.00 р.
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Описание: These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Principles and Practice of Constraint Programming

Автор: Rueher
Название: Principles and Practice of Constraint Programming
ISBN: 3319449524 ISBN-13(EAN): 9783319449524
Издательство: Springer
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Цена: 14814.00 р.
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Описание: This book constitutes the refereed conference proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming, CP 2016, held in Toulouse, France, in September 2016. The papers are grouped into the following tracks: technical track;

Principles and Practice of Constraint Programming

Автор: Peter J. Stuckey
Название: Principles and Practice of Constraint Programming
ISBN: 3540859578 ISBN-13(EAN): 9783540859574
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Constitutes the refereed proceedings of the 14th International Conference on Principles and Practice of Constraint Programming, CP 2008, Sydney, Australia, September, 2008. This title addresses the issues of computing with constraints ranging from methodological and foundational aspects - using algorithms, environments, languages and models.

Cartesian Genetic Programming

Автор: Julian F. Miller
Название: Cartesian Genetic Programming
ISBN: 3642269982 ISBN-13(EAN): 9783642269981
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. This book contains chapters written by the leading figures in the development and application of CGP.

Genetic Programming Theory and Practice VII

Автор: Rick Riolo; Una-May O`Reilly; Trent McConaghy
Название: Genetic Programming Theory and Practice VII
ISBN: 1461425018 ISBN-13(EAN): 9781461425014
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on the annual Genetic Programming Theory and Practice workshop, this text discusses the latest in GP theory and practice and how each affects the other. It also addresses GP applications and hurdles encountered in utilizing them.

Genetic Programming Theory and Practice IV

Автор: Rick Riolo; Terence Soule; Bill Worzel
Название: Genetic Programming Theory and Practice IV
ISBN: 1441941231 ISBN-13(EAN): 9781441941237
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan`s Center for the Study of Complex Systems. The workshop was convened in May 2006 to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP).

Genetic Programming

Автор: Leonardo Vanneschi; Steven Gustafson; Alberto Mora
Название: Genetic Programming
ISBN: 3642011802 ISBN-13(EAN): 9783642011801
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book reflects research in the field of genetic programming, including work on representations, theory, operators and analysis, and feature selection.


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