Systolic Computations, M.A. Frumkin

Автор: Graham
Название: Markov Chains - Analytic and Monte Carlo Computations
ISBN: 1118517075 ISBN-13(EAN): 9781118517079
Издательство: Wiley
Рейтинг:
Цена: 13456.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them.

Автор: William J. Stewart
Название: Computations with Markov Chains
ISBN: 0792395506 ISBN-13(EAN): 9780792395508
Издательство: Springer
Рейтинг:
Цена: 32004.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the edited and reviewed proceedings of the Second International Workshop on the Numerical Solution of Markov Chains, held January 16-18, 1995, in Raleigh, North Carolina. This title offers an overview of the field for applied probabilists, numerical analysts and systems modelers, including computer scientists and engineers.

Автор: R. Baker Kearfott; V. Kreinovich
Название: Applications of Interval Computations
ISBN: 0792338472 ISBN-13(EAN): 9780792338475
Издательство: Springer
Рейтинг:
Цена: 33401.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text contains primarily survey articles of actual industrial applications of numerical analysis with automatic result verification and of interval representation of data. Underlying topics include branch and bound algorithms for global optimization, and constraint propagation.

Автор: Joab Winkler; Mahesan Niranjan
Название: Uncertainty in Geometric Computations
ISBN: 1461352525 ISBN-13(EAN): 9781461352525
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book contains the proceedings of the workshop Uncertainty in Geomet- ric Computations that was held in Sheffield, England, July 5-6, 2001. The applications of computer modelling are large and diverse, but the workshop focussed on the management of un- certainty in three areas : Geometric modelling, computer vision, and computer graphics.

Автор: Bjorck, Ake
Название: Numerical methods in matrix computations
ISBN: 3319050885 ISBN-13(EAN): 9783319050881
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Numerical Methods in Matrix Computations

Автор: Lelievre Tony Et Al
Название: Free Energy Computations: A Mathematical Perspective
ISBN: 1848162472 ISBN-13(EAN): 9781848162471
Издательство: World Scientific Publishing
Рейтинг:
Цена: 23760.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents an introduction to advanced computational methods for free energy calculations. This book is suitable for practitioners interested in a mathematical treatment, and for applied mathematicians interested in molecular dynamics.

Автор: ?ke Bj?rck
Название: Numerical Methods in Matrix Computations
ISBN: 3319356143 ISBN-13(EAN): 9783319356143
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems.

Автор: Patrick DeWilde; Alle-Jan van der Veen
Название: Time-Varying Systems and Computations
ISBN: 1441950451 ISBN-13(EAN): 9781441950451
Издательство: Springer
Рейтинг:
Цена: 27245.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari- able s or z and it is analytic in a large part of the complex plane. Many important prop- erties of the system for which it is a transfer function are related to its analytic prop- erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi- e. g., as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi- mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.