Modeling, Stochastic Control, Optimization, and Applications by George Yin
This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.
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Probability and Partial Differential Equations in Modern Applied Mathematics
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Rational Drug Design
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Computational Fluid Dynamics and Reacting Gas Flows
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Mathematics of DNA Structure, Function and Interactions
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Multiparticle Quantum Scattering with Applications to Nuclear, Atomic and Molecular Physics
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Inverse Problems in Wave Propagation
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Free Boundaries in Viscous Flows
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Mathematics in Industrial Problems
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Natural Locomotion in Fluids and on Surfaces
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Twist Mappings and Their Applications
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Codes, Systems, and Graphical Models
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Coding Theory and Design Theory
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Nonlinear Phenomena in Atmospheric and Oceanic Sciences
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Singularities and Oscillations
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Dynamical Issues in Combustion Theory
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Statistical Models in Epidemiology, the Environment, and Clinical Trials
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Pattern Formation in Continuous and Coupled Systems
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Random Sets
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Discrete Probability and Algorithms
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Large-Scale Optimization with Applications
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Nonlinear Optical Materials
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Quasiclassical Methods
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Frontiers in PDE-Constrained Optimization
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Energy Markets and Responsive Grids
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Radar and Sonar
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Theory and Applications of Liquid Crystals
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Classical and Modern Branching Processes
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Symmetric Functionals on Random Matrices and Random Matchings Problems
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Applications of Combinatorics and Graph Theory to the Biological and Social Sciences
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Numerical Algorithms for Modern Parallel Computer Architectures
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Discrete Event Systems, Manufacturing Systems, and Communication Networks
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Hydrodynamic Behavior and Interacting Particle Systems
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Nonlinear Stochastic PDEs
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Shock Induced Transitions and Phase Structures in General Media
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Particulate Flows
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Stochastic Differential Systems, Stochastic Control Theory and Applications
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q-Series and Partitions
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Signal Processing
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Mathematical Approaches to Biomolecular Structure and Dynamics
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Recent Advances in Iterative Methods
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Mathematical Frontiers in Computational Chemical Physics
| SKU | Unavailable |
| ISBN 13 | 9783030255008 |
| ISBN 10 | 303025500X |
| Title | Modeling, Stochastic Control, Optimization, and Applications |
| Author | George Yin |
| Series | The Ima Volumes In Mathematics And Its Applications |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-08-14 |
| Number of pages | 599 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |