Deterministic and Stochastic Optimal Control and Inverse Problems - Info and Reading Options
By Baasansuren Jadamba, Akhtar A. Khan, Stanislaw Migorski and Miguel Angel Sama Meige
"Deterministic and Stochastic Optimal Control and Inverse Problems" was published by Taylor & Francis Group in 2021 - Boca Raton London New York, it has 390 pages and the language of the book is English.
“Deterministic and Stochastic Optimal Control and Inverse Problems” Metadata:
- Title: ➤ Deterministic and Stochastic Optimal Control and Inverse Problems
- Authors: Baasansuren JadambaAkhtar A. KhanStanislaw MigorskiMiguel Angel Sama Meige
- Language: English
- Number of Pages: 390
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton London New York
“Deterministic and Stochastic Optimal Control and Inverse Problems” Subjects and Themes:
- Subjects: ➤ Inverse problems (Differential equations) - Numerical solutions - Stochastic control theory - Problèmes inverses (Équations différentielles) - Solutions numériques - Commande stochastique - COMPUTERS - Operating Systems - General - MATHEMATICS - Differential Equations - Probability & Statistics
Edition Identifiers:
- The Open Library ID: OL33949915M - OL25340653W
- Online Computer Library Center (OCLC) ID: 1273728690
- Library of Congress Control Number (LCCN): 2021702135
- ISBN-13: 9781003050575 - 9781000511727
- All ISBNs: 9781003050575 - 9781000511727
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"Deterministic and Stochastic Optimal Control and Inverse Problems" Description:
Open Data:
Cover -- Title Page -- Copyright Page -- Dedication -- Preface -- Table of Contents -- Contributors -- 1. All-At-Once Formulation Meets the Bayesian Approach: A Study of Two Prototypical Linear Inverse Problems -- 1.1 Introduction -- 1.1.1 Examples -- 1.2 Function Space Setting and Computation of Adjoints -- 1.2.1 Inverse Source Problem -- 1.2.2 Backwards Heat Problem -- 1.3 Analysis of the Eigenvalues -- 1.3.1 Inverse Source Problem -- 1.3.1.1 Analytic Computation of the Eigenvalues -- 1.3.1.2 Numerical Computation of the Eigenvalues -- 1.3.2 Backwards Heat Equation -- 1.3.2.1 Analytic Computation of the Eigenvalues -- 1.3.2.2 Numerical Computation of the Eigenvalues -- 1.4 Convergence Analysis -- 1.4.1 Fulfillment of the Link Condition for the All-At-Once-Formulation -- 1.5 Choice of Joint Priors -- 1.5.1 Block Diagonal Priors Satisfying Unilateral Link Estimates -- 1.5.2 Heuristic Choice of C0 for the Backwards Heat Problem -- 1.5.3 Priors for the Inverse Source Problem -- 1.5.4 Prior for the State Variable of the Backwards Heat Problem -- 1.6 Numerical Experiments -- 1.6.1 Lagrangian Method for Computing the Adjoint Based Hessian and Gradient -- 1.6.1.1 Inverse Source Problem -- 1.6.1.2 Backwards Heat Problem -- 1.6.2 Implementation -- 1.6.2.1 Inverse Source Problem -- 1.6.2.2 Backwards Heat Equation, Sampled Initial Condition -- 1.6.2.3 Backwards Heat Equation, Chosen Initial Condition -- 1.6.2.4 Backwards Heat Equation, Chosen Initial Condition, Prior Motivated by the Link Condition -- 1.7 Conclusions and Remarks -- References -- 2. On Iterated Tikhonov Kaczmarz Type Methods for Solving Systems of Linear Ill-posed Operator Equations -- 2.1 Introduction -- 2.2 A Range-relaxed Iterated Tikhonov Kaczmarz Method -- 2.2.1 Main Assumptions -- 2.2.2 Description of the Method -- 2.2.3 Preliminary Results -- 2.3 A Convergence Result for Exact Data
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