Computational partial differential equations von jichun chen (30 Ergebnisse)

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Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Paperback. Zustand: New. 2nd. In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB.Key Selling Points:A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering.This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.…

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Paperback. Zustand: Brand New. 2nd edition. 422 pages. 9.19x6.13x1.02 inches. In Stock.

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Paperback. Zustand: Brand New. 2nd edition. 422 pages. 9.19x6.13x1.02 inches. In Stock.

Zustand: New. Jichun Li ia a professor of mathematics at the University of Nevada, Las Vegas. He earned a Ph.D in Applied Mathematics from Florida State University and in addition to authoring several journal papers and three other books, he is a foun.

Paperback. Zustand: New. 2nd. In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB.Key Selling Points:A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering.This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.…

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Zustand: As New. Unread book in perfect condition.

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Zustand: As New. Unread book in perfect condition.

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Zustand: New. In English.

Hardcover. Zustand: Brand New. 2nd edition. 408 pages. 9.50x6.50x1.00 inches. In Stock.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jichun Li ia a professor of mathematics at the University of Nevada, Las Vegas. He earned a Ph.D in Applied Mathematics from Florida State University and in addition to authoring several journal papers and three other books, he is a foun.…

Hardcover. Zustand: Brand New. 2nd edition. 408 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.