Numerical solution of ordinary differential equations, Atkinson, Kendall E. Han, Weimin Stewart, David E.
Автор: Weintraub, Steven Название: Differential forms ISBN: 0123944031 ISBN-13(EAN): 9780123944030 Издательство: Elsevier Science Рейтинг: Цена: 98800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers many examples of computations and research applications across the fields of applied mathematics, engineering, and physics. This title provides a solid theoretical basis of how to develop and apply differential forms to real research problems. It includes computational methods for graphical results essential for math modeling.
Автор: Sewell Granville Название: The Numerical Solution of Ordinary and Partial Differential Equations: 3rd Edition ISBN: 981463509X ISBN-13(EAN): 9789814635097 Издательство: World Scientific Publishing Рейтинг: Цена: 42240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state.
Автор: Tarek Mathew Название: Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations ISBN: 3540772057 ISBN-13(EAN): 9783540772057 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A matrix oriented introduction to domain decomposition methodology. It discusses topics including hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations and saddle point applications.
Автор: Smith, G. D. Название: Numerical Solution of Partial Differential Equations ISBN: 0198596502 ISBN-13(EAN): 9780198596509 Издательство: Oxford Academ Рейтинг: Цена: 64410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Substantially revised, this authoritative study covers the standard finite difference methods of parabolic, hyperbolic, and elliptic equations, and includes the concomitant theoretical work on consistency, stability, and convergence. The new edition includes revised and greatly expanded sections on stability based on the Lax-Richtmeyer definition, the application of Pade approximants to systems of ordinary differential equations for parabolic and hyperbolicequations, and a considerably improved presentation of iterative methods. A fast-paced introduction to numerical methods, this will be a useful volume for students of mathematics and engineering, and for postgraduates and professionals who need a clear, concise grounding in this discipline.
Автор: J. C. Butcher Название: Numerical Methods for Ordinary Differential Equations ISBN: 0471967580 ISBN-13(EAN): 9780471967583 Издательство: Wiley Рейтинг: Цена: 152010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "Numerical Analysis of Ordinary Differential Equations."
Автор: Chicone Название: Ordinary Differential Equations with Applications ISBN: 0387307699 ISBN-13(EAN): 9780387307695 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Поставка под заказ. Описание: A text for a graduate level course in the theory of ordinary differential equations. It contains theory and applications. It links ordinary differential equations with advanced mathematical topics such as differential geometry, Lie group theory, analysis in infinite-dimensional spaces and abstract algebra.
Автор: Hairer, E. Название: Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations ISBN: 3540306633 ISBN-13(EAN): 9783540306634 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems with highly oscillatory solutions. The long-time behavior of the numerical solutions is studied using a backward error analysis combined with KAM theory.
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