Numerical Approximation Partial Differential (97 results)

Language: English
Published by Springer, 2018
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Condition: Poor. Volume 23. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,…1000grams, ISBN:3540571116.

Language: English
Published by Springer International Publishing AG, CH, 2018
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Paperback. Condition: New. Finite element methods for approximating partial differential equations have reached a high degree of maturity, and are an indispensible tool in science and technology. This textbook aims at providing a thorough introduction to the construction, analysis, and implementation of finite element methods fo…r model problems arising in continuum mechanics. The first part of the book discusses elementary properties of linear partial differential equations along with their basic numerical approximation, the functional-analytical framework for rigorously establishing existence of solutions, and the construction and analysis of basic finite element methods. The second part is devoted to the optimal adaptive approximation of singularities and the fast iterative solution of linear systems of equations arising from finite element discretizations. In the third part, the mathematical framework for analyzing and discretizing saddle-point problems is formulated, corresponding finte element methods are analyzed, and particular applications including incompressible elasticity, thin elastic objects, electromagnetism, and fluid mechanics are addressed. The book includes theoretical problems and practical projects for all chapters, and an introduction to the implementation of finite element methods. Softcover reprint of the original 1st ed. 2016.

Language: English
Published by Springer, 2018
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Language: English
Published by Springer, 2018
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Language: English
Published by Springer, 2018
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Language: English
Published by Springer, 2018
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Language: English
Published by Springer, 2016
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Language: English
Published by Springer International Publishing AG, CH, 2016
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Hardback. Condition: New. 1st ed. 2016. Finite element methods for approximating partial differential equations have reached a high degree of maturity, and are an indispensible tool in science and technology. This textbook aims at providing a thorough introduction to the construction, analysis, and implementation of finite eleme…nt methods for model problems arising in continuum mechanics. The first part of the book discusses elementary properties of linear partial differential equations along with their basic numerical approximation, the functional-analytical framework for rigorously establishing existence of solutions, and the construction and analysis of basic finite element methods. The second part is devoted to the optimal adaptive approximation of singularities and the fast iterative solution of linear systems of equations arising from finite element discretizations. In the third part, the mathematical framework for analyzing and discretizing saddle-point problems is formulated, corresponding finte element methods are analyzed, and particular applications including incompressible elasticity, thin elastic objects, electromagnetism, and fluid mechanics are addressed. The book includes theoretical problems and practical projects for all chapters, and an introduction to the implementation of finite element methods.

Language: English
Published by Springer, 2016
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Language: English
Published by Springer, 2016
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- First Edition
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Language: English
Published by Springer, 2018
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A Proof That Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential Equations
Philipp Grohs, Fabian Hornung, Arnulf Jentzen, Philippe von Wurstemberger
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Paperback. Condition: New. View the abstract.

Language: English
Published by Springer, 2018
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Language: English
Published by Springer, 2018
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A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black-Scholes Partial Differential . of the American Mathematical Society)
Grohs, Philipp/ Wurstemberger, Philippe von/ Jentzen, Arnulf/ Hornung, Fabian
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