J. Royset

发表

Path optimization for the resource‐constrained searcher

Hiroyuki Sato, J. Royset, 2010 .

On the optimal detection of an underwater intruder in a channel using unmanned underwater vehicles

S. Shankar Sastry, Johannes O. Royset, Elijah Polak, 2011 .

Route optimization for multiple searchers

Hiroyuki Sato, J. Royset, 2010 .

Implementable Algorithm for Stochastic Optimization Using Sample Average Approximations

E. Polak, J. Royset, 2004 .

Reliability-based optimal structural design by the decoupling approach

Johannes O. Royset, Elijah Polak, A. Der Kiureghian, 2001, Reliab. Eng. Syst. Saf..

Reliability-Based Optimal Design of Series Structural Systems

E. Polak, A. Kiureghian, J. Royset, 2001 .

Uncertainty Quantification using Exponential Epi-Splines

R. Wets, J. Royset, N. Sukumar, 2013 .

Reliability-based optimal design using sample average approximations

E. Polak, J. Royset, 2004 .

Routing Military Aircraft with a Constrained Shortest-Path Algorithm

Johannes O. Royset, W. Matthew Carlyle, R. Kevin Wood, 2009 .

UC Santa Cruz UC Santa Cruz Previously Published Works Title Consistent approximation of a nonlinear optimal control problem with uncertain

I. Kaminer, Chris Phelps, J. Royset, 2015 .

Lagrangian relaxation and enumeration for solving constrained shortest-path problems

R. K. Wood, W. Carlyle, J. Royset, 2008 .

Multidisciplinary Risk-Adaptive Set-Based Design of Supercavitating Hydrofoils

Johannes O. Royset, Luca Bonfiglio, J. Royset, 2019, AIAA Journal.

Risk Measures in Engineering Design under Uncertainty

Johannes O. Royset, R. T. Rockafellar, R. Rockafellar, 2015 .

ENGINEERING DECISIONS UNDER RISK-AVERSENESS ∗ R . Tyrrell Rockafellar

J. Royset, 2014 .

Multivariate Epi-splines and Evolving Function Identification Problems

R. Wets, J. Royset, 2016 .

Uncertainty Quantification and Data Fusion

R. Wets, J. Royset, 2013 .

EPI-SPLINES AND EXPONENTIAL EPI-SPLINES : PLIABLE APPROXIMATION TOOLS

R. Wets, J. Royset, 2013 .

Nonparametric Density Estimation via Exponential Epi-Splines : Fusion of Soft and Hard Information

R. Wets, J. Royset, 2013 .

On Optimality Functions in Stochastic Programming and Applications

J. Royset, 2010 .

Extensions of Stochastic Optimization Results to Problems with System Failure Probability Functions

E. Polak, J. Royset, 2007 .

Extensions of Stochastic Optimization Results from Problems with Simple to Problems with Complex Failure Probability Functions

E. Polak, J. Royset, 2007 .

Variational analysis of constrained M-estimators

Johannes O. Royset, R. Wets, J. Royset, 2017, The Annals of Statistics.

Optimal motion planning in rapid‐fire combat situations with attacker uncertainty

Isaac Kaminer, Johannes O. Royset, Qi Gong, 2018 .

Constrained Maximum Likelihood Estimators for Densities

R. Wets, J. Royset, 2017 .

Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations

J. Royset, Louis L. Chen, 2022, ArXiv.

Covering Numbers for Semicontinuous Functions

J. Royset, 2016 .

Consistent approximations in composite optimization

J. Royset, 2022, Mathematical Programming.

Reliability-based optimal design using sample average approximations

E. Polak, J. Royset, 2004 .

Optimizing CAT-ASVAB item selection using form assembly techniques

J. Royset, 2005 .

Superquantile / CVaR Risk Measures : Second-Order Theory 1 R .

J. Royset, Tyrrel R Rockafellar, 2014 .

Performance Bounds for PDE-Constrained Optimization under Uncertainty

J. Royset, Peng Chen, 2021, 2110.10269.

On Robustness in Nonconvex Optimization with Application to Defense Planning

J. Royset, 2022, ArXiv.

Stability and Error Analysis for Optimization and Generalized Equations

J. Royset, 2019, SIAM J. Optim..

S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method

J. Royset, W. Oliveira, Ji-Eun Byun, 2022, 2209.02573.

On the use of Augmented Lagrangians in the Solution of Generalized Semi-In(cid:12)nite Min-Max Problems

E. Polak, J. Royset, 2022 .

A heuristic algorithm for optimized routing of unmanned aerial systems for the interdiction of improvised explosive devices

J. Royset, 2007 .

Risk-Adaptive Approaches to Learning and Decision Making: A Survey

J. Royset, 2022, ArXiv.

Random variables, monotone relations, and convex analysis

R. Rockafellar, J. Royset, 2014, Mathematical Programming.

Lopsided convergence: an extension and its quantification

R. Wets, J. Royset, 2018, Mathematical Programming.

Approximations and solution estimates in optimization

J. Royset, 2017, Mathematical Programming.

Preface

J. Royset, 2019, Math. Program..

On sample size control in sample average approximations for solving smooth stochastic programs

J. Royset, 2013, Computational Optimization and Applications.

Optimality functions in stochastic programming

J. Royset, 2011, Mathematical Programming.

Search-Trajectory Optimization: Part I, Formulation and Theory

I. Kaminer, J. Royset, Joseph Foraker, 2015, Journal of Optimization Theory and Applications.

On Robustness in Nonconvex Optimization with Application to Defense Planning

J. Royset, 2022, Oper. Res. Lett..

Optimality Functions and Lopsided Convergence

R. Wets, J. Royset, 2015, Journal of Optimization Theory and Applications.

Search-Trajectory Optimization: Part II, Algorithms and Computations

I. Kaminer, J. Royset, Joseph Foraker, 2015, Journal of Optimization Theory and Applications.

On univariate function identification problems

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2018, Math. Program..

On univariate function identification problems

R. Wets, J. Royset, 2017, Mathematical Programming.

Lopsided convergence: an extension and its quantification

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2019, Math. Program..

Random variables, monotone relations, and convex analysis

Johannes O. Royset, R. Tyrrell Rockafellar, R. Rockafellar, 2014, Math. Program..

Superquantiles and Their Applications to Risk, Random Variables, and Regression

Johannes O. Royset, R. Tyrrell Rockafellar, R. Rockafellar, 2013 .

Probabilistic search optimization and mission assignment for heterogeneous autonomous agents

Johannes O. Royset, Timothy H. Chung, Moshe Kress, 2009, 2009 IEEE International Conference on Robotics and Automation.

On the Use of Augmented Lagrangians in the Solution of Generalized Semi-Infinite Min-Max Problems

Johannes O. Royset, Elijah Polak, E. Polak, 2005, Comput. Optim. Appl..

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

P Perdikaris, D Venturi, J O Royset, 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Optimal Control of Uncertain Systems Using Sample Average Approximations

Qi Gong, Johannes O. Royset, Chris Phelps, 2016, SIAM J. Control. Optim..

Multi-Disciplinary Risk-Adaptive Design of Super-Cavitating Hydrofoil

George Em Karniadakis, Johannes O. Royset, Luca Bonfiglio, 2018 .

Risk-Adaptive Set-Based Design and Applications to Shaping a Hydrofoil

Johannes O. Royset, Giuliano Vernengo, Luca Bonfiglio, 2017 .

Set-Based Approach to Design under Uncertainty and Applications to Shaping a Hydrofoil

Johannes O. Royset, Giuliano Vernengo, Luca Bonfiglio, 2016 .

Estimating probability distributions of travel demand on a congested network

Johannes O. Royset, Yueyue Fan, Yudi Yang, 2019, Transportation Research Part B: Methodological.

Set-Convergence and Its Application: A Tutorial

Johannes O. Royset, J. Royset, 2020, Set-Valued and Variational Analysis.

Variational Theory for Optimization under Stochastic Ambiguity

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2017, SIAM J. Optim..

Optimality Functions and Lopsided Convergence

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2016, J. Optim. Theory Appl..

Search-Trajectory Optimization: Part I, Formulation and Theory

Isaac Kaminer, Johannes O. Royset, Joseph Foraker, 2016, J. Optim. Theory Appl..

On sample size control in sample average approximations for solving smooth stochastic programs

Johannes O. Royset, J. Royset, 2013, Computational Optimization and Applications.

Optimality functions in stochastic programming

Johannes O. Royset, J. Royset, 2011, Mathematical Programming.

Optimal design with probabilistic objective and constraints

Armen Der Kiureghian, Johannes O. Royset, Elijah Polak, 2006 .

Certifiable Risk-Based Engineering Design Optimization pdf

Karen Willcox, Johannes O. Royset, Anirban Chaudhuri, 2021, AIAA Journal.

Multivariate Epi-splines and Evolving Function Identification Problems

R. Wets, J. Royset, 2015, Set-Valued and Variational Analysis.

Algorithms with Adaptive Smoothing for Finite Minimax Problems

Johannes O. Royset, Elijah Polak, Robert S. Womersley, 2003 .

Optimal Budget Allocation for Sample Average Approximation

Johannes O. Royset, Roberto Szechtman, R. Szechtman, 2013, Oper. Res..

On buffered failure probability in design and optimization of structures

Johannes O. Royset, R. Tyrrell Rockafellar, R. Rockafellar, 2010, Reliab. Eng. Syst. Saf..

Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation

Johannes O. Royset, J. Royset, 2017, Mathematical Programming.

From Data to Assessments and Decisions: Epi-Spline Technology

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2014 .

Density estimation of simulation output using exponential epi-splines

Dashi I. Singham, Johannes O. Royset, Roger J.-B. Wets, 2013, 2013 Winter Simulations Conference (WSC).

On Solving Large-Scale Finite Minimax Problems Using Exponential Smoothing

Johannes O. Royset, E. Y. Pee, J. Royset, 2011, J. Optim. Theory Appl..

Lagrangian relaxation and enumeration for solving constrained shortest‐path problems

Johannes O. Royset, W. Matthew Carlyle, R. Kevin Wood, 2008, Networks.

A Computational Study of the Buffered Failure Probability in Reliability-Based Design Optimization

Johannes O. Royset, R. T. Rockafellar, H. G. Basova, 2011 .

Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations

J. Royset, Louis L. Chen, 2022, ArXiv.

Algorithms for Finite and Semi-Infinite Min–Max–Min Problems Using Adaptive Smoothing Techniques

Johannes O. Royset, Elijah Polak, E. Polak, 2003 .

Engineering Decisions under Risk Averseness

Johannes O. Royset, R. Tyrrell Rockafellar, R. Rockafellar, 2015 .

Solving the Bi-Objective Maximum-Flow Network-Interdiction Problem

Johannes O. Royset, R. Kevin Wood, R. K. Wood, 2007, INFORMS J. Comput..

Measures of Residual Risk with Connections to Regression, Risk Tracking, Surrogate Models, and Ambiguity

Johannes O. Royset, R. Tyrrell Rockafellar, R. Rockafellar, 2015, SIAM J. Optim..

Diametrical Risk Minimization: theory and computations pdf

Johannes O. Royset, Matthew Norton, J. Royset, 2019, Machine Learning.

An Optimization Primer

R. Wets, J. Royset, 2021, Springer Series in Operations Research and Financial Engineering.

Performance Bounds for PDE-Constrained Optimization under Uncertainty

J. Royset, Peng Chen, 2023, SIAM J. Optim..

Data-driven optimization of reliability using buffered failure probability

Johannes O. Royset, Ji-Eun Byun, J. Royset, 2021, 2107.11176.

Aerial Search Optimization Model (ASOM) for UAVs in Special Operations

Johannes O. Royset, Moshe Kress, M. Kress, 2008 .

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

Johannes O. Royset, Arvid Naess, A. Naess, 2000 .

Modeling uncertainty of expert elicitation for use in risk-based optimization

Michael D. Teter, J. Royset, A. Newman, 2018, Annals of Operations Research.

Fusion of hard and soft information in nonparametric density estimation

Johannes O. Royset, Roger J.-B. Wets, R. Wets, 2015, Eur. J. Oper. Res..

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

Johannes O. Royset, R. Tyrrell Rockafellar, S. I. Miranda, 2014, Eur. J. Oper. Res..

Optimizing Surveillance Satellites for the Synthetic Theater Operations Research Model

J. Royset, Steven M. Warner, 2022, ArXiv.

Good and Bad Optimization Models: Insights from Rockafellians

J. Royset, 2021, Tutorials in Operations Research: Emerging Optimization Methods and Modeling Techniques with Applications.

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

Johannes O. Royset, E. Y. Pee, J. Royset, 2012, Journal of Optimization Theory and Applications.

Multi-Agent Search for a Moving and Camouflaging Target

J. Royset, Wenbo Ma, Miguel Lejeune, 2023, ArXiv.

The eye and the fist: Optimizing search and interdiction

Johannes O. Royset, Moshe Kress, N. Rozen, 2012, Eur. J. Oper. Res..

Path-Constrained Search in Discrete Time and Space

Johannes O. Royset, Alan R. Washburn, Lawrence D. Stone, 2016 .

Generalized orienteering problem with resource dependent rewards

Johannes O. Royset, Jesse A Pietz, J. Royset, 2013 .

Efficient sample sizes in stochastic nonlinear programming

Johannes O. Royset, Elijah Polak, E. Polak, 2008 .

Approximations and solution estimates in optimization

Johannes O. Royset, J. Royset, 2018, Math. Program..

Search for Moving Targets in Continuous Space

Johannes O. Royset, Alan R. Washburn, Lawrence D. Stone, 2016 .

Epi-Convergence of Expectation Functions under Varying Measures and Integrands

E. Feinberg, P. Kasyanov, J. Royset, 2022, 2208.03805.

Preventing environmental disasters from grounding accidents: A case study of tugboat positioning along the Norwegian coast

Johannes O. Royset, Robin T. Bye, Johan Oppen, 2018, J. Oper. Res. Soc..

Search-Trajectory Optimization: Part II, Algorithms and Computations

Isaac Kaminer, Johannes O. Royset, Joseph Foraker, 2015, Journal of Optimization Theory and Applications.

An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint

J. Royset, Gregorio M. Sempere, Welington de Oliveira, 2024, 2407.07471.

Risk-Adaptive Local Decision Rules

J. Royset, Miguel A. Lejeune, 2023, Operations Research.