close
1.

電子ブック
ＥＢ
1. Structure of Solutions of Variational Problems
by Alexander J. Zaslavski
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Optimization ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-6387-0
所蔵情報: loading…
目次情報: 続きを見る
Preface
1. Introduction
2. Nonautonomous problems
3.Autonomous problems
4.Convex Autonomous Problems
References
Index
Preface
1. Introduction
2. Nonautonomous problems
2.

電子ブック
ＥＢ
2. Nonconvex Optimal Control and Variational Problems
by Alexander J. Zaslavski
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Optimization and Its Applications ; 82
オンライン: http://dx.doi.org/10.1007/978-1-4614-7378-7
所蔵情報: loading…
目次情報: 続きを見る
Preface
1. Introduction
2. Well-posedness of Optimal Control Problems
3. Well-posedness and Porosity
4. Well-posedness of Nonconvex Variational Problems
5. Gerenic Well-posedness result
6. Nonoccurrence of the Lavrentiev Phenomenon for Variational Problems
7. Nonoccurrence of the Lavrentiev Phenomenon in Optimal Control
8. Generic Nonoccurrence of the Lavrentiev phenomenon
9. Infinite Dimensional Linear Control Problems
10. Uniform Boundedness of Approximate Solutions of Variational Problems
11. The Turnpike Property for Approximate Solutions
12. A Turnpike Result For Optimal Control Systems. - References
Index
Preface
1. Introduction
2. Well-posedness of Optimal Control Problems
3.

電子ブック
ＥＢ
3. Turnpike Theory of Continuous-Time Linear Optimal Control Problems
by Alexander J. Zaslavski
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Optimization and Its Applications ; 104
オンライン: http://dx.doi.org/10.1007/978-3-319-19141-6
所蔵情報: loading…
目次情報: 続きを見る
Preface
1. Introduction
2. Control systems with periodic convex integrands
3. Control systems with non convex integrands
4. Stability properties
5. Linear control systems with discounting
6. Dynamic zero-sum games with linear constraints
7. Genericity results
8. Variational problems with extended-value integrands
9. Dynamic games with extended-valued integrands
References
Index
Preface
1. Introduction
2. Control systems with periodic convex integrands
4.

電子ブック
ＥＢ
4. Convex Optimization with Computational Errors. 1st ed. 2020
by Alexander J. Zaslavski
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Optimization and Its Applications ; 155
オンライン: https://doi.org/10.1007/978-3-030-37822-6
所蔵情報: loading…
目次情報: 続きを見る
Preface
1. Introduction
2. Subgradient Projection Algorithm
3. The Mirror Descent Algorithm
4. Gradient Algorithm with a Smooth Objective Function
5. An Extension of the Gradient Algorithm
6. Continuous Subgradient Method
7. An optimization problems with a composite objective function
8. A zero-sum game with two-players
9. PDA-based method for convex optimization
10 Minimization of quasiconvex functions.-11. Minimization of sharp weakly convex functions.-12. A Projected Subgradient Method for Nonsmooth Problems
References. -Index
Preface
1. Introduction
2. Subgradient Projection Algorithm