Finite Element Methods Parallel Sparse by Nguyen Duc (13 results)

Hardcover. Condition: Wie neu. 1st ed. 550 S. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1215.

Condition: New. 827 pp., hardcover, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 828 | Sprache: Englisch | Produktart: Bücher | This new edition includes three new chapters, 7 through 9, that have very broad, practical applications in engineering and science. In addition, the author¿s latest research results incorporated into the new textbook demonstrates better performance than the popular METIS software for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The new Chapter 8, and its pre-requisite, Chapter 7, present a state-of-the-art algorithm for computing the shortest paths for real-life (large-scale) transportation networks with minimum computational time. This approach has not yet appeared in any existing textbooks and it could open the doors for other transportation engineering applications. Chapter 9 vastly expands the scope of the previous edition by including sensitivity (gradient) computation and MATLAB¿s built-in function ¿fmincon¿ for obtaining the optimum (or best) solution for general engineering problems.…

Taschenbuch. Condition: Neu. Finite Element Methods | Parallel-Sparse Statics and Eigen-Solutions | Duc Thai Nguyen | Taschenbuch | xix | Englisch | 2025 | Springer | EAN 9783031487903 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition includes three new chapters, 7 through 9, that have very broad, practical applications in engineering and science. In addition, the author's latest research results incorporated into the new textbook demonstrates better performance than the popular METIS software for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The new Chapter 8, and its pre-requisite, Chapter 7, present a state-of-the-art algorithm for computing the shortest paths for real-life (large-scale) transportation networks with minimum computational time. This approach has not yet appeared in any existing textbooks and it could open the doors for other transportation engineering applications. Chapter 9 vastly expands the scope of the previous edition by including sensitivity (gradient) computation and MATLAB's built-in function 'fmincon' for obtaining the optimum (or best) solution for general engineering problems.…

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 534 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: New. 2nd ed. 2024 edition NO-PA16APR2015-KAP.

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition includes three new chapters, 7 through 9, that have very broad, practical applications in engineering and science. In addition, the author's latest research results incorporated into the new textbook demonstrates better performance than the popular METIS software for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The new Chapter 8, and its pre-requisite, Chapter 7, present a state-of-the-art algorithm for computing the shortest paths for real-life (large-scale) transportation networks with minimum computational time. This approach has not yet appeared in any existing textbooks and it could open the doors for other transportation engineering applications. Chapter 9 vastly expands the scope of the previous edition by including sensitivity (gradient) computation and MATLAB's built-in function 'fmincon' for obtaining the optimum (or best) solution for general engineering problems.…

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