Introduction to Mathematica® with Applications, Marian Mure?an

Автор: Schay G.
Название: Introduction to Probability with Statistical Applications
ISBN: 3319306189 ISBN-13(EAN): 9783319306186
Издательство: Springer
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Цена: 9362.00 р.
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Описание: Now inits second edition, this textbook serves as an introduction toprobability and statistics for non-mathematics majors who do not need theexhaustive detail and mathematical depth provided in more comprehensivetreatments of the subject. The presentation covers the mathematical laws ofrandom phenomena, including discrete and continuous random variables,expectation and variance, and common probability distributions such as thebinomial, Poisson, and normal distributions. More classical examples such asMontmort's problem, the ballot problem, and Bertrand’s paradox are nowincluded, along with applications such as the Maxwell-Boltzmann andBose-Einstein distributions in physics.Keyfeatures in new edition:* 35 newexercises* Expanded sectionon the algebra of sets *Expanded chapters on probabilities to include more classical examples* Newsection on regression* Onlineinstructors' manual containing solutions to all exercises

Автор: Alan Vincent
Название: Molecular Symmetry and Group Theory : A Programmed Introduction to Chemical Applications, 2nd Edition
ISBN: 0471489395 ISBN-13(EAN): 9780471489399
Издательство: Wiley
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Цена: 5219.00 р.
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Описание: This substantially revised and expanded new edition of the bestselling textbook, addresses the difficulties that can arise with the mathematics that underpins the study of symmetry, and acknowledges that group theory can be a complex concept for students to grasp.

Автор: Smith
Название: An Introduction to Delay Differential Equations with Applications to the Life Sciences
ISBN: 1441976450 ISBN-13(EAN): 9781441976451
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book is intended to be an introduction to Delay Differential Equations for upper level undergraduates or beginning graduate mathematics students who have a reasonable background in ordinary differential equations and who would like to get to the applications quickly.

Автор: Andrey Grozin
Название: Introduction to Mathematica® for Physicists
ISBN: 3319032844 ISBN-13(EAN): 9783319032849
Издательство: Springer
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Цена: 7182.00 р.
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Описание: This book uses examples from physical sciences to illustrate the value of Mathematica. After reading this book and solving problems in it, the reader will be able to use Mathematica efficiently for solving his/her own problems.

Автор: Magrab
Название: An Engineer`s Guide to Mathematica®
ISBN: 1118821262 ISBN-13(EAN): 9781118821268
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Free Mathematica 10 Update Included! Now available from www. wiley.

Автор: Ming Li; Paul M.B. Vit?nyi
Название: An Introduction to Kolmogorov Complexity and Its Applications
ISBN: 1489984453 ISBN-13(EAN): 9781489984456
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications.

Автор: Klebaner Fima C
Название: Introduction To Stochastic Calculus With Applications (3Rd Edition)
ISBN: 1848168314 ISBN-13(EAN): 9781848168312
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Presents a treatment of stochastic calculus. This title gives its main applications in finance, biology and engineering. It presents the theory of stochastic calculus and its applications to an audience which possesses only a basic knowledge of calculus and probability.

Автор: Ajay Dholakia
Название: Introduction to Convolutional Codes with Applications
ISBN: 1461361680 ISBN-13(EAN): 9781461361688
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Introduction to Convolutional Codes with Applications is an introduction to the basic concepts of convolutional codes, their structure and classification, various error correction and decoding techniques for convolutionally encoded data, and some of the most common applications.