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Numerical Algorithms, Solomon, Justin


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Автор: Solomon, Justin
Название:  Numerical Algorithms
Перевод названия: Джастин Соломон: Численные алгоритмы
ISBN: 9781482251883
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1482251884
Обложка/Формат: Mixed media product
Страницы: 400
Вес: 0.89 кг.
Дата издания: 03.07.2015
Серия: Mathematics
Язык: English
Иллюстрации: 14 tables, black and white; 132 illustrations, black and white
Размер: 264 x 182 x 26
Читательская аудитория: General (us: trade)
Ключевые слова: Information technology: general issues, COMPUTERS / Computer Graphics,MATHEMATICS / Number Systems,TECHNOLOGY & ENGINEERING / Robotics
Основная тема: Computer Graphics & Visualization
Подзаголовок: Methods for computer vision, machine learning, and graphics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.

The book covers a wide range of topics--from numerical linear algebra to optimization and differential equations--focusing on real-world motivation and unifying themes. It incorporates cases from computer science research and practice, accompanied by highlights from in-depth literature on each subtopic. Comprehensive end-of-chapter exercises encourage critical thinking and build students intuition while introducing extensions of the basic material.

The text is designed for advanced undergraduate and beginning graduate students in computer science and related fields with experience in calculus and linear algebra. For students with a background in discrete mathematics, the book includes some reminders of relevant continuous mathematical background.



New Data Structures and Algorithms for Logic Synthesis and Verification

Автор: Amaru
Название: New Data Structures and Algorithms for Logic Synthesis and Verification
ISBN: 3319431730 ISBN-13(EAN): 9783319431734
Издательство: Springer
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Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces new logic primitives for electronic design automation tools. The author approaches fundamental EDA problems from a different, unconventional perspective, in order to demonstrate the key role of rethinking EDA solutions in overcoming technological limitations of present and future technologies. The author discusses techniques that improve the efficiency of logic representation, manipulation and optimization tasks by taking advantage of majority and biconditional logic primitives. Readers will be enabled to accelerate formal methods by studying core properties of logic circuits and developing new frameworks for logic reasoning engines.

Robust Control Systems with Genetic Algorithms

Автор: Jamshidi
Название: Robust Control Systems with Genetic Algorithms
ISBN: 0849312515 ISBN-13(EAN): 9780849312519
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Описание: Links genetic algorithms (GAs) and the design of robust control systems. Laying a foundation in the basics of GAs and genetic programming, this work demonstrates the power of these tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control.

Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization

Автор: Davidor Yuval
Название: Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization
ISBN: 9810202172 ISBN-13(EAN): 9789810202170
Издательство: World Scientific Publishing
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Цена: 43290.00 T
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Описание: Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems.This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies.Request Inspection Copy

Circuit Simulation Methods and Algorithms

Автор: Ogrodzki
Название: Circuit Simulation Methods and Algorithms
ISBN: 084937894X ISBN-13(EAN): 9780849378942
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Circuit Simulation Methods and Algorithms provides a step-by-step theoretical consideration of methods, techniques, and algorithms in an easy-to-understand format

Graphs, Algorithms, and Optimization

Автор: Kocay William
Название: Graphs, Algorithms, and Optimization
ISBN: 1482251167 ISBN-13(EAN): 9781482251166
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание:

The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory in a rigorous, but informal style and cover most of the main areas of graph theory. The ideas of surface topology are presented from an intuitive point of view. We have also included a discussion on linear programming that emphasizes problems in graph theory. The text is suitable for students in computer science or mathematics programs.

 



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