Books in Theory and mathematics

Books Journals

Stability of Nonlinear Control Systems

1st Edition
Volume 13
January 1, 1965
Lefschetz
English
eBook
9 7 8 0 0 8 0 9 5 5 2 0 9

Discrete and Continuous Boundary Problems

1st Edition
Volume 8
January 1, 1964
Atkinson
English
eBook
9 7 8 0 0 8 0 9 5 5 1 6 2

Differential-Difference Equations

1st Edition
Volume 6
January 1, 1963
Bellman
English
eBook
9 7 8 0 0 8 0 9 5 5 1 4 8

Optimization Techniques

1st Edition
Volume 5
January 1, 1962
George Leitmann
English
eBook
9 7 8 0 0 8 0 9 5 5 1 3 1

During the past decade there has been a remarkable growth of interest in problems of systems optimization and of optimal control. And with this interest has come an increasing need for methods useful for rendering systems optimum. Rising to meet this challengc there have sprung up various “schools,” often championing onc method and regarding it superior to all others. Long experience has shown that life is not so simple, that the picture is not all white and black. In short, one may expect that a particular method is superior to others for the solution of some problems-rarely for all problems. Furthermore, since the basic mathematical formulation of optimization problems is often essentially the same in many approaches, it is not unreasonable to expect that there may be a great deal of similarity among various methods, a similarity - often, indeed, an identity-which is obscured by dissimilarities in language and notation. To help the uncommitted in his search for and rhoice of the optimum optimization technique is the fundamental aim of this volume. To accomplish this aim there are assembled in one book ten chapters dealing &h the various methods currently espoused for the solution of problems in systems optimization and optimal control. The choice of authors has been dictated solely by a consideration of an author’s interest and expertiless in a particular method. With the advantages of such an eclectic approach and the ensuing multiple authorship there comes some loss of smoothness of over - all presentation, for which the Editor must take the sole blame. On the one hand, correlation between the various chapters has been achieved by cross-referencing; on the other hand, each chapter can be read as a separate entity setting forth the technique championed by a particular “School.” While each of the ten chapters dealing with methods includes simple examples, primarily for didactic purposes, it has been thought useful to present four additional chapters dealing with applications alone. Of these, the first three, Chapters 11-13, cover specific optimization problems, and the final chapter contains a discussion of problems in the optimization of a complete system, in this case a nuclear propulsion system.

Decision-Making Models

1st Edition
July 24, 2024
Tofigh Allahviranloo + 2 more
English
Paperback
9 7 8 0 4 4 3 1 6 1 4 7 6
eBook
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Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems.Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.

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