Editor(s): Neittaanmaki, Pekka; Repin, Sergey I.; Tuovinen, Tero. Series: Computational Methods in Applied Sciences. Num Pages: 328 pages, biography. BIC Classification: PBU; TBJ; TGB. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 24. Weight in Grams: 776. . 2015. Hardback. . . . .

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Bibliographic Details

Title: Mathematical Modeling and Optimization of Complex Structures
Publisher: Springer International Publishing AG
Publication Date: 2015
Language: English
ISBN 10: 331923563X
ISBN 13: 9783319235639
Binding: Hardcover
Condition: New

About this title

Synopsis

This volume contains selected papers in three closely related areas: mathematical modeling in mechanics, numerical analysis, and optimization methods. The papers are based upon talks presented on the International Conference for Mathematical Modeling and Optimization in Mechanics, held in Jyv�skyl�, Finland, March 6-7, 2014 dedicated to Prof. N. Banichuk on the occasion of his 70th birthday. The articles are written by well-known scientists working in computational mechanics and in optimization of complicated technical models. Also, the volume contains papers discussing the historical development, the state of the art, new ideas, and open problems arising in modern continuum mechanics and applied optimization problems. Several papers are concerned with mathematical problems in numerical analysis, which are also closely related to important mechanical models. The main topics treated include:

* Computer simulation methods in mechanics, physics, and biology;

* Variational problems and methods; minimization algorithms;

* Optimal control problems with distributed and discrete control;

* Shape optimization and shape design problems in science and engineering;

* Sensitivity analysis and parameters optimization of complex systems.

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* Computer simulation methods in mechanics, physics, and biology;

* Variational problems and methods; minimization algorithms;

* Optimal control problems with distributed and discrete control;

* Shape optimization and shape design problems in science and engineering;

* Sensitivity analysis and parameters optimization of complex systems.

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