Numerical Control: Part A: Handbook of Numerical Analysis, cartea 23
Emmanuel Trélat, Enrique Zuazuaen Limba Engleză Hardback – 21 feb 2022
- Provides the authority and expertise of leading contributors from an international board of authors
- Presents the latest release in the Handbook of Numerical Analysis series
- Updated release includes the latest information on Numerical Control
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Specificații
ISBN-13: 9780323850599
ISBN-10: 0323850596
Pagini: 594
Dimensiuni: 152 x 229 mm
Greutate: 0.96 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Numerical Analysis
ISBN-10: 0323850596
Pagini: 594
Dimensiuni: 152 x 229 mm
Greutate: 0.96 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Numerical Analysis
Public țintă
The targeted audience is mathematically trained research scientists and engineers with basic knowledge in numerical control systems.Cuprins
1. Control and numerical approximation of fractional diffusion equations
Umberto Biccari, Mahamadi Warma, and Enrique Zuazua
2. Modeling, control, and numerics of gas networks
Martin Gugat and Michael Herty
3. Optimal control, numerics, and applications of fractional PDEs
Harbir Antil, Thomas Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, and Mahamadi Warma
4. Optimal control of PDEs and FE-approximation
Eduardo Casas, Karl Kunisch, and Fredi Tröltzsch
5. Numerical solution of multi-objective optimal control and hierarchic controllability problems
Enrique Fernández-Cara
6. Numerics for stochastic distributed parameter control systems: a finite transposition method
Qi Lü, Penghui Wang, Yanqing Wang, and Xu Zhang
7. Numerical solutions of stochastic control problems: Markov chain approximation methods
Zhuo Jin, Ky Tran, and George Yin
8. Control of parameter dependent systems
Martin Lazar and Jérôme Lohéac
9. Space-time POD-Galerkin approach for parametric flow control
Francesco Ballarin, Gianluigi Rozza, and Maria Strazzullo
10. Moments and convex optimization for analysis and control of nonlinear PDEs
Milan Korda, Didier Henrion, and Jean Bernard Lasserre
11. Turnpike properties in optimal control
Timm Faulwasser and Lars Grüne
12. Some challenging optimization problems for logistic diffusive equations and their numerical modeling
Idriss Mazari, Grégoire Nadin, and Yannick Privat
13. Gradient flows and nonlinear power methods for the computation of nonlinear eigenfunctions
Leon Bungert and Martin Burger
14. Dynamic Programming versus supervised learning
Gilles Pagès and Olivier Pironneau
15. Data-driven modeling and control of large-scaledynamical systems in the Loewner framework
Ion Victor Gosea, Charles Poussot-Vassal, and Athanasios C. Antoulas
16. Machine learning and control theory
Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, and Xiang Zhou
Umberto Biccari, Mahamadi Warma, and Enrique Zuazua
2. Modeling, control, and numerics of gas networks
Martin Gugat and Michael Herty
3. Optimal control, numerics, and applications of fractional PDEs
Harbir Antil, Thomas Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, and Mahamadi Warma
4. Optimal control of PDEs and FE-approximation
Eduardo Casas, Karl Kunisch, and Fredi Tröltzsch
5. Numerical solution of multi-objective optimal control and hierarchic controllability problems
Enrique Fernández-Cara
6. Numerics for stochastic distributed parameter control systems: a finite transposition method
Qi Lü, Penghui Wang, Yanqing Wang, and Xu Zhang
7. Numerical solutions of stochastic control problems: Markov chain approximation methods
Zhuo Jin, Ky Tran, and George Yin
8. Control of parameter dependent systems
Martin Lazar and Jérôme Lohéac
9. Space-time POD-Galerkin approach for parametric flow control
Francesco Ballarin, Gianluigi Rozza, and Maria Strazzullo
10. Moments and convex optimization for analysis and control of nonlinear PDEs
Milan Korda, Didier Henrion, and Jean Bernard Lasserre
11. Turnpike properties in optimal control
Timm Faulwasser and Lars Grüne
12. Some challenging optimization problems for logistic diffusive equations and their numerical modeling
Idriss Mazari, Grégoire Nadin, and Yannick Privat
13. Gradient flows and nonlinear power methods for the computation of nonlinear eigenfunctions
Leon Bungert and Martin Burger
14. Dynamic Programming versus supervised learning
Gilles Pagès and Olivier Pironneau
15. Data-driven modeling and control of large-scaledynamical systems in the Loewner framework
Ion Victor Gosea, Charles Poussot-Vassal, and Athanasios C. Antoulas
16. Machine learning and control theory
Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, and Xiang Zhou