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Adaptation and learning in automatic systems, Volume 73 (Mathematics in Science and Engineering) by Ya.Z. Tsypkin (Eds.) is a nonfiction available to read on EtoBox.
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Front Cover......Page 1 Adaptation and Learning in Automatic Systems......Page 4 Copyright Page......Page 5 Contents......Page 6 Foreword......Page 14 Preface to the Russian Edition......Page 18 Introduction......Page 24 1.1 Introduction......Page 28 1.2 Criteria of Optimality......Page 29 1.3 More about the Criteria of Optimality......Page 30 1.4 Constraints......Page 31 1.5 A Priori and Current Information......Page 32 1.6 Deterministic and Stochastic Processes......Page 33 1.7 The Ordinary and Adaptive Approaches......Page 34 1.8 On Methods for Solving Optimization Problems......Page 35 Comments......Page 37 Bibliography......Page 38 2.2 Conditions of Optimality......Page 40 2.3 Regular Iterative Method......Page 41 2.4 Algorithms of Optimization......Page 42 2.5 A Possible Generalization......Page 44 2.6 Various Algorithms of Optimization......Page 45 2.7 Search Algorithms of Optimization......Page 46 2.8 Constraints I......Page 48 2.9 Constraints II......Page 49 2.11 Discussion......Page 51 2.12 Multistage Algorithms of Optimization......Page 52 2.13 Continuous Algorithms of Optimization......Page 54 2.14 Methods of Random Search......Page 55 2.15 Convergence and Stability....
Who reads Adaptation and learning in automatic systems, Volume 73 (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
- Ya.Z. Tsypkin (Eds.)
- Publisher
- Academic Press, Incorporated
- Published
- 1971
- Language
- EN
- ISBN
- 9781282288591
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Education
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