Showing 1 - 20 results of 211 for search '"stochastic optimization"', query time: 0.21s Refine Results
  1. 1

    Stochastic Optimization by Schneider, Johannes J. (Johannes Josef)

    Berlin, Heidelberg : Springer Berlin Heidelberg, 2006
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  2. 2

    Stochastic Optimization Methods Applications in Engineering and Operations Research / by Marti, Kurt

    Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
    3rd ed. 2015.
    Table of Contents: “…Stochastic Optimization Methods -- Optimal Control Under Stochastic Uncertainty -- Stochastic Optimal Open-Loop Feedback Control -- Adaptive Optimal Stochastic Trajectory Planning and Control (AOSTPC) -- Optimal Design of Regulators -- Expected Total Cost Minimum Design of Plane Frames -- Stochastic Structural Optimization with Quadratic Loss Functions -- Maximum Entropy Techniques.…”
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  3. 3

    Stochastic Optimization Methods Applications in Engineering and Operations Research / by Marti, Kurt

    Cham : Springer International Publishing : Imprint: Springer, 2024
    4th ed. 2024.
    Table of Contents: “…Stochastic Optimization Methods -- Solution of Stochastic Linear Programs by Discretization Methods -- Optimal Control under Stochastic Uncertainty -- Random Search Procedures for Global Optimization -- Controlled Random Search under Uncertainty -- Controlled Random Search Procedures for Global Optimization -- Random Search Methods with Multiple Search Points -- Approximation of Feedback Control Systems -- Stochastic Optimal Open-Loop Feedback Control -- Adaptive Optimal Stochastic Trajectory Planning and Control (AOSTPC) -- Machine Learning under stochastic uncertainty -- Stochastic Structural Optimization with quadratic loss functions -- Maximum Entropy Techniques.…”
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  4. 4

    Stochastic Optimization Methods by Marti, Kurt

    Berlin, Heidelberg : Springer Berlin Heidelberg, 2005
    Table of Contents: “…Basic Stochastic Optimization Methods: Decision/Control Under Stochastic Uncertainty -- Deterministic Substitute Problems in Optimal Decision Under Stochastic Uncertainty -- Differentiation Methods: Differentiation Methods for Probability and Risk Functions -- Deterministic Descent Directions: Deterministic Descent Directions and Efficient Points -- Semi-Stochastic Approximation Methods: RSM-Based Stochastic Gradient Procedures -- Stochastic Approximation Methods with Different Error Variances -- Technical Applications: Approximation of the Probability of Failure/Survival in Plastic Structural Analysis and Optimal Plastic Design.…”
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  5. 5

    Convex and Stochastic Optimization by Bonnans, J. Frédéric

    Cham : Springer International Publishing : Imprint: Springer, 2019
    Table of Contents: “…1 A convex optimization toolbox -- 2 Semidefinite and semiinfinite programming -- 3 An integration toolbox -- 4 Risk measures -- 5 Sampling and optimizing -- 6 Dynamic stochastic optimization -- 7 Markov decision processes -- 8 Algorithms -- 9 Generalized convexity and transportation theory -- References -- Index. .…”
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  6. 6

    Fuzzy Stochastic Optimization Theory, Models and Applications / by Wang, Shuming

    Boston, MA : Springer US, 2012
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  7. 7

    Sequential stochastic optimization / by Cairoli, R. (Renzo), 1931-1994

    New York : Wiley, 1996
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  8. 8

    Multistage Stochastic optimization / by Pflug, Georg Ch., 1951-, Pichler, Alois

    Cham : Springer, 2014
    Table of Contents: “…Introduction -- The Nested Distance -- Risk and Utility Functionals -- From Data to Models -- Time Consistency -- Approximations and Bounds -- The Problem of Ambiguity in Stochastic Optimization -- Examples.…”
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  9. 9

    Stochastic Optimal Transportation Stochastic Control with Fixed Marginals / by Mikami, Toshio

    Singapore : Springer Singapore : Imprint: Springer, 2021
    1st ed. 2021.
    Table of Contents: “…Introduction -- Chapter 2. Stochastic optimal transportation problem -- Chapter 3. …”
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  10. 10

    Stochastic optimization in insurance : a dynamic programming approach / by Azcue, Pablo, Muler, Nora

    New York, NY : Springer, 2014
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  11. 11

    Stochastic Optimization Methods by Marti, Kurt

    Berlin, Heidelberg : Springer Berlin Heidelberg, 2008
    Table of Contents: “…Part I Basic Stochastic Optimization Methods: Decision/Control Under Stochastic Uncertainty -- Deterministic substitute Problems in Optimal Decision -- Under Stochastic Uncertainty -- Part II Differentiation Methods: Differentiation Methods for Probability and Risk Functions -- Part III Deterministic Descent Directions: Deterministic Descent Directions and Efficient Points -- Part IV Semi-Stochastic Approximation Methods: RSM–Based Stochastic Gradient Procedures -- Stochastic Approximation Methods with Changing Error Variances -- Part V Reliability Analysis of Structures/Systems: Computation of probabilities -- Part VI Appendix: Sequences, Series and Products -- Convergence Theorems for Stochastic Sequences -- Tools from Matrix Calculus.…”
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    Stochastic Optimal Control of Structures by Peng, Yongbo, Li, Jie

    Singapore : Springer Singapore : Imprint: Springer, 2019
    1st ed. 2019.
    Table of Contents: “…Preface -- Introduction -- Theoretical essentials -- PDEM based stochastic optimal control -- Probabilistic criteria of stochastic optimal control -- Generalized optimal control policy -- Stochastic optimal control of nonlinear structures -- Stochastic optimal control of wind-induced comfortability -- Stochastic optimal semi-active control of structures -- Shaking table test of controlled structures -- References -- Appendix A: Mapping from excitation vector to co-state vector -- Appendix B: Statistical linearization based LQG control -- Appendix C: Riccati matrix difference equation and discrete dynamic programming -- Index.…”
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  15. 15

    Stochastic optimization models in finance /

    New York : Academic Press, 1975
    Table of Contents: “…Front Cover; Stochastic Optimization Models in Finance; Copyright Page; Dedication; Table of Contents; PREFACE; ACKNOWLEDGMENTS; Part I: Mathematical Tools; INTRODUCTION; I. …”
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  16. 16

    Stochastic optimization models in finance

    Hackensack, NJ : World Scientific, 2006
    2006 ed.
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  17. 17

    Reinforcement learning and stochastic optimization : a unified framework for sequential decisions / by Powell, Warren B., 1955-

    Hoboken, New Jersey : John Wiley & Sons, Inc, 2022
    First Edition.
    Table of Contents: “…** 166 -- 3.15 Bibliographic Notes 174 -- Exercises 176 -- Bibliography 180 -- 4 Introduction to Stochastic Search 183 -- 4.1 Illustrations of the Basic Stochastic Optimization Problem 185 -- 4.2 Deterministic Methods 188 -- 4.3 Sampled Models 193 -- 4.4 Adaptive Learning Algorithms 202 -- 4.5 Closing Remarks 210 -- 4.6 Bibliographic Notes 210 -- Exercises 212 -- Bibliography 218 -- Part II – Stochastic Search 221 -- 5 Derivative-Based Stochastic Search 223 -- 5.1 Some Sample Applications 225 -- 5.2 Modeling Uncertainty 228 -- 5.3 Stochastic Gradient Methods 231 -- 5.4 Styles of Gradients 237 -- 5.5 Parameter Optimization for Neural Networks* 242 -- 5.6 Stochastic Gradient Algorithm as a Sequential Decision Problem 247 -- 5.7 Empirical Issues 248 -- 5.8 Transient Problems* 249 -- 5.9 Theoretical Performance* 250 -- 5.10 Why Does it Work? …”
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  18. 18

    Stochastic optimization in continuous time by Chang, Fwu-Ranq, 1947-

    Cambridge, UK ; New York : Cambridge University Press, 2004
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  19. 19

    Adaptive stochastic optimization techniques with applications / by Momoh, James A., 1950-

    Boca Raton, Florida : CRC Press, 2016
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  20. 20

    Stochastic Analysis, Filtering, and Stochastic Optimization A Commemorative Volume to Honor Mark H. A. Davis's Contributions

    Cham : Springer International Publishing : Imprint: Springer, 2022
    1st ed. 2022.
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