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Can I read Computational Methods For Modeling Of Nonlinear Systems, Volume 15 (mathematics In Science And Engineering) on EtoBox?

Computational Methods For Modeling Of Nonlinear Systems, Volume 15 (mathematics In Science And Engineering) by Anatoli Torokhti; Phil Howlett is a nonfiction available to read on EtoBox.

What is Computational Methods For Modeling Of Nonlinear Systems, Volume 15 (mathematics In Science And Engineering) about?

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization. Nonlinear Multiobjective Optimization provides an extensive, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic) multiobjective optimization, its methods, its theory and its background. The amount of literature on multiobjective optimization is immense. The treatment in this book is based on approximately 1500 publications in English printed mainly after the year 1980. Problems related to real-life applications often contain irregularities

Who reads Computational Methods For Modeling Of Nonlinear Systems, Volume 15 (mathematics In Science And Engineering)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Anatoli Torokhti; Phil Howlett
Publisher
Elsevier Science
Published
1965
Language
EN
ISBN
9786613837806
Category
nonfiction
Subjects
Mathematics, Engineering, Stem

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