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Calculus for Cognitive Scientists, James K. Peterson


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Цена: 23508.00р.
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Автор: James K. Peterson
Название:  Calculus for Cognitive Scientists
ISBN: 9789812878724
Издательство: Springer
Классификация:



ISBN-10: 9812878726
Обложка/Формат: Hardcover
Страницы: 507
Вес: 0.97 кг.
Дата издания: 11.02.2016
Серия: Cognitive Science and Technology
Язык: English
Иллюстрации: 105 colour illustrations, 25 colour tables, biography
Размер: 250 x 164 x 36
Читательская аудитория: Professional & vocational
Основная тема: Computational Intelligence
Подзаголовок: Derivatives, Integrals and Models
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science.


Stochastic Calculus for Finance II

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 8384.00 р.
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Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Stochastic Calculus for Finance I

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Applied logic for computer scientists. Computational Deduction and formal Proofs

Автор: Mauricio Ayala Rincon
Название: Applied logic for computer scientists. Computational Deduction and formal Proofs
ISBN: 3319516515 ISBN-13(EAN): 9783319516516
Издательство: Springer
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Цена: 6288.00 р.
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Описание: A strong mathematical foundation of the logical engines available in modern proof assistants, such as the PVS verification system, is essential for computer scientists, mathematicians and engineers to increment their capabilities to provide formal proofs of theorems and to certify the robustness of software and hardware systems.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Methods of Applied Mathematics for Engineers and Scientists

Автор: Co
Название: Methods of Applied Mathematics for Engineers and Scientists
ISBN: 1107004128 ISBN-13(EAN): 9781107004122
Издательство: Cambridge Academ
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Цена: 14571.00 р.
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Описание: Based on course notes from over twenty years of teaching engineering and physical sciences at Michigan Technological University, Tomas Co's engineering mathematics textbook is rich with examples, applications and exercises. Professor Co uses analytical approaches to solve smaller problems to provide mathematical insight and understanding, and numerical methods for large and complex problems. The book emphasises applying matrices with strong attention to matrix structure and computational issues such as sparsity and efficiency. Chapters on vector calculus and integral theorems are used to build coordinate-free physical models with special emphasis on orthogonal co-ordinates. Chapters on ODEs and PDEs cover both analytical and numerical approaches. Topics on analytical solutions include similarity transform methods, direct formulas for series solutions, bifurcation analysis, Lagrange–Charpit formulas, shocks/rarefaction and others. Topics on numerical methods include stability analysis, DAEs, high-order finite-difference formulas, Delaunay meshes, and others. MATLAB® implementations of the methods and concepts are fully integrated.

Brownian Motion and Stochastic Calculus

Автор: Karatzas
Название: Brownian Motion and Stochastic Calculus
ISBN: 0387976558 ISBN-13(EAN): 9780387976556
Издательство: Springer
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Цена: 6981.00 р.
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Описание: This book is designed as a text for graduate courses in stochastic processes. It is written for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore stochastic processes in continuous time. The vehicle chosen for this exposition is Brownian motion, which is presented as the canonical example of both a martingale and a Markov process with continuous paths. In this context, the theory of stochastic integration and stochastic calculus is developed. The power of this calculus is illustrated by results concerning representations of martingales and change of measure on Wiener space, and these in turn permit a presentation of recent advances in financial economics (option pricing and consumption/investment optimization). This book contains a detailed discussion of weak and strong solutions of stochastic differential equations and a study of local time for semimartingales, with special emphasis on the theory of Brownian local time. The text is complemented by a large number of problems and exercises.

Advanced mathematical methods for scientists and engineers

Автор: Bender, Carl M. (washington University, Usa) Orsza
Название: Advanced mathematical methods for scientists and engineers
ISBN: 0387989315 ISBN-13(EAN): 9780387989310
Издательство: Springer
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Цена: 11878.00 р.
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Описание: A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations.

Numerical Analysis for Engineers and Scientists

Автор: Miller
Название: Numerical Analysis for Engineers and Scientists
ISBN: 1107021081 ISBN-13(EAN): 9781107021082
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.

Computational Chemistry of Solid State Materials: A Guide for Materials Scientists, Chemists, Physicists and others

Автор: Richard Dronskowski
Название: Computational Chemistry of Solid State Materials: A Guide for Materials Scientists, Chemists, Physicists and others
ISBN: 3527314105 ISBN-13(EAN): 9783527314102
Издательство: Wiley
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Цена: 20321.00 р.
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Описание: Presents both classical and quantum-chemical approaches.

Calculus for Cognitive Scientists

Автор: James Peterson
Название: Calculus for Cognitive Scientists
ISBN: 9812878785 ISBN-13(EAN): 9789812878786
Издательство: Springer
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Цена: 23508.00 р.
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Описание: It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation.

Fractional Calculus for Scientists and Engineers

Автор: Manuel Duarte Ortigueira
Название: Fractional Calculus for Scientists and Engineers
ISBN: 9400736371 ISBN-13(EAN): 9789400736375
Издательство: Springer
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Цена: 15672.00 р.
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Описание: In recent years fractional calculus has been rediscovered by scientists and engineers and applied in an increasing number of fields. This book gives a practical and multidisciplinary overview of Fractional Calculus as it relates to Signal Processing.

Calculus for Cognitive Scientists

Автор: James K. Peterson
Название: Calculus for Cognitive Scientists
ISBN: 9812878750 ISBN-13(EAN): 9789812878755
Издательство: Springer
Рейтинг:
Цена: 23508.00 р.
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Описание: This book offers a self-study program on how mathematics, computer science and science can be profitably and seamlessly intertwined. This book focuses on two variable ODE models, both linear and nonlinear, and highlights theoretical and computational tools using MATLAB to explain their solutions.


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