Solving PDEs in Python, Hans Petter Langtangen; Anders Logg

Автор: Salsa Sandro
Название: Primer on PDEs
ISBN: 8847028612 ISBN-13(EAN): 9788847028616
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book offers students a solid introduction to numerical methods, such as finite differences and finite elements. Each chapter ends with a brief introduction to numerical approximation techniques for the specific problem at hand.

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521899907 ISBN-13(EAN): 9780521899901
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Автор: Gazzola
Название: Geometric Properties for Parabolic and Elliptic PDE`s
ISBN: 3319415360 ISBN-13(EAN): 9783319415369
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book collects recent research papers by respected specialists in the field. It presents advances in the field of geometric properties for parabolic and elliptic partial differential equations, an area that has always attracted great attention. It settles the basic issues (existence, uniqueness, stability and regularity of solutions of initial/boundary value problems) before focusing on the topological and/or geometric aspects. These topics interact with many other areas of research and rely on a wide range of mathematical tools and techniques, both analytic and geometric. The Italian and Japanese mathematical schools have a long history of research on PDEs and have numerous active groups collaborating in the study of the geometric properties of their solutions.

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521728525 ISBN-13(EAN): 9780521728522
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Автор: Englander Janos
Название: Advances in Superprocesses and Nonlinear PDEs
ISBN: 1461462398 ISBN-13(EAN): 9781461462392
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Sergei Kuznetsov is one of the top experts on measure valued branching processes (also known as "superprocesses") and their connection to nonlinear partial differential operators. His research interests range from stochastic processes and partial differential equations to mathematical statistics, time series analysis and statistical software;