Interative Methods for Solving Linear Systems, Anne Greenbaum
Автор: Saad, Yousef Название: Iterative Methods for Sparse Linear Systems, 2 ed. ISBN: 0898715342 ISBN-13(EAN): 9780898715347 Издательство: Wiley Рейтинг: Цена: 180230.00 T Наличие на складе: Поставка под заказ. Описание: This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations.
Автор: Werner C. Rheinboldt Название: Methods for Solving Systems of Nonlinear Equations ISBN: 089871415X ISBN-13(EAN): 9780898714159 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 60190.00 T Наличие на складе: Невозможна поставка. Описание: This volume discusses the ideas behind non linear equations as well as their theoretical foundations and properties.
Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems ISBN: 1441906290 ISBN-13(EAN): 9781441906298 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.
Автор: Y. Murata Название: Optimal Control Methods for Linear Discrete-Time Economic Systems ISBN: 1461257395 ISBN-13(EAN): 9781461257394 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As our title reveals, we focus on optimal control methods and applications relevant to linear dynamic economic systems in discrete-time variables.
Автор: Daniel Bienstock Название: Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice ISBN: 1475776721 ISBN-13(EAN): 9781475776720 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.
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