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Optimality functions in stochastic programming

Mathematical programming, 2012-10, Vol.135 (1-2), p.293-321

Royset, J. O.

2012

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On buffered failure probability in design and optimization of structures

Reliability engineering & system safety, 2010-05, Vol.95 (5), p.499-510

2010

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Random variables, monotone relations, and convex analysis

Mathematical programming, 2014-12, Vol.148 (1-2), p.297-331

2014

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Multi-fidelity modelling via recursive co-kriging and Gaussian-Markov random fields

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2015-07, Vol.471 (2179), p.20150018-20150018

2015

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On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing

Journal of optimization theory and applications, 2011-02, Vol.148 (2), p.390-421

2011

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Reliability-based optimal structural design by the decoupling approach

Reliability engineering & system safety, 2001-09, Vol.73 (3), p.213-221

2001

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The eye and the fist: Optimizing search and interdiction

European journal of operational research, 2012-07, Vol.220 (2), p.550-558

2012

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Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semiinfinite Minimax Problems

Journal of optimization theory and applications, 2012-12, Vol.155 (3), p.855-882

2012

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Algorithms with adaptive smoothing for finite minimax problems

Journal of optimization theory and applications, 2003-12, Vol.119 (3), p.459-484

2003

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Extensions of stochastic optimization results to problems with system failure probability functions

Journal of optimization theory and applications, 2007-04, Vol.133 (1), p.1-18

2007

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Reliability-based optimal design using sample average approximations

Probabilistic engineering mechanics, 2004-10, Vol.19 (4), p.331-343

2004

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Algorithms for finite and semi-infinite min-max-min problems using adaptive smoothing techniques

Journal of optimization theory and applications, 2003-12, Vol.119 (3), p.421-457

2003

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Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk

European journal of operational research, 2014-04, Vol.234 (1), p.140-154

2014

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Implementable algorithm for stochastic optimization using sample average approximations

Journal of optimization theory and applications, 2004-07, Vol.122 (1), p.157-184

2004

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Cutting sphere algorithm

Journal of optimization theory and applications, 2003-11, Vol.119 (2), p.379-385

2003

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Adaptive Approximations and Exact Penalization for the Solution of Generalized Semi-infinite Min-Max Problems

SIAM journal on optimization, 2003-01, Vol.14 (1), p.1-34

2003

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Efficient sample sizes in stochastic nonlinear programming

Journal of computational and applied mathematics, 2008-08, Vol.217 (2), p.301-310

2008

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Estimating probability distributions of travel demand on a congested network

Transportation research. Part B: methodological, 2019-04, Vol.122, p.265-286

2019

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An Optimization Primer

1, 2022

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Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2015-07, Vol.471 (2179), p.1-23

2015

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Efficient sample sizes in stochastic nonlinear programming: Semi-infinite Programming (SIP)

Journal of computational and applied mathematics, 2008, Vol.217 (2), p.301-310

2008

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Extensions of Turkstra's rule and their application to combination of dependent load effects

Structural safety, 2000-01, Vol.22 (2), p.129-143

2000

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Optimal Search for Moving Targets

1, 2016

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Implementable Algorithms for Stochastic Optimization Using Sample Average Approximations

Journal of optimization theory and applications, 2004-07, Vol.122 (1), p.157

2004

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An algorithm for generalized semi-infinite min-max problems using exact penalties

Proceedings of the 41st IEEE Conference on Decision and Control, 2002, 2002, Vol.3, p.3545-3550 vol.3

2002

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Optimality functions in stochastic programming

On buffered failure probability in design and optimization of structures

Random variables, monotone relations, and convex analysis

Multi-fidelity modelling via recursive co-kriging and Gaussian-Markov random fields

On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing

Reliability-based optimal structural design by the decoupling approach

The eye and the fist: Optimizing search and interdiction

Rate of Convergence Analysis of Discretization and Smoothing Algorithms for Semiinfinite Minimax Problems

Algorithms with adaptive smoothing for finite minimax problems

Extensions of stochastic optimization results to problems with system failure probability functions

Reliability-based optimal design using sample average approximations

Algorithms for finite and semi-infinite min-max-min problems using adaptive smoothing techniques

Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk

Implementable algorithm for stochastic optimization using sample average approximations

Cutting sphere algorithm

Adaptive Approximations and Exact Penalization for the Solution of Generalized Semi-infinite Min-Max Problems

Efficient sample sizes in stochastic nonlinear programming

Estimating probability distributions of travel demand on a congested network

An Optimization Primer

Multi-fidelity modelling via recursive co-kriging and Gaussian–Markov random fields

Efficient sample sizes in stochastic nonlinear programming: Semi-infinite Programming (SIP)

Extensions of Turkstra's rule and their application to combination of dependent load effects

Optimal Search for Moving Targets

Implementable Algorithms for Stochastic Optimization Using Sample Average Approximations

An algorithm for generalized semi-infinite min-max problems using exact penalties

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