Calculus for Cognitive Scientists, James K. Peterson

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 55890.00 T
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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.

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 55890.00 T
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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;

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: 41920.00 T
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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.

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: 65210.00 T
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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.

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: 97140.00 T
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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.

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: 79190.00 T
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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.

Автор: Spiegel, Murray R.
Название: Schaum`s outline of advanced mathematics for engineers and scientists
ISBN: 0071635408 ISBN-13(EAN): 9780071635400
Издательство: McGraw-Hill
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Цена: 20580.00 T
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Описание: Presents advanced mathematics course information for engineers and scientists in an easy-to-follow format. This title provides you with many examples, solved problems, and practice exercises to test your skills. It gives you: practice problems with explanations that reinforce knowledge, and coverage of developments in your course field.

Автор: James K. Peterson
Название: Calculus for Cognitive Scientists
ISBN: 9812878726 ISBN-13(EAN): 9789812878724
Издательство: Springer
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Цена: 156720.00 T
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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.

Автор: James Peterson
Название: Calculus for Cognitive Scientists
ISBN: 9812878785 ISBN-13(EAN): 9789812878786
Издательство: Springer
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Цена: 156720.00 T
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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.

Автор: Baumgartner Peter, Payr Sabine
Название: Speaking Minds: Interviews with Twenty Eminent Cognitive Scientists
ISBN: 0691603200 ISBN-13(EAN): 9780691603209
Издательство: Wiley
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Цена: 54910.00 T
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Описание: Few developments in the intellectual life of the past quarter-century have provoked more controversy than the attempt to engineer human-like intelligence by artificial means. Born of computer science, this effort has sparked a continuing debate among the psychologists, neuroscientists, philosophers,and linguists who have pioneered--and criticized--

Автор: Manuel Duarte Ortigueira
Название: Fractional Calculus for Scientists and Engineers
ISBN: 9400736371 ISBN-13(EAN): 9789400736375
Издательство: Springer
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Цена: 104480.00 T
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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.

Автор: Karatzas
Название: Brownian Motion and Stochastic Calculus
ISBN: 0387976558 ISBN-13(EAN): 9780387976556
Издательство: Springer
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Цена: 46540.00 T
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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.