Faculty

Institution

Unit

Venue

Jorge Nocedal

Walter P Murphy Professor of Industrial Engineering and Management Sciences and by courtesy Engineering Sciences and Applied Mathematics Director Center for Optimization and Statistical Learning

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Engineering Sciences and Applied Mathematics

Department of Industrial Engineering and Management Sciences

Jorge Nocedal is currently serving as an Engineering Sciences And Applied Mathematics Walter P Murphy Professor of Industrial Engineering and Management Sciences and by courtesy Engineering Sciences and Applied Mathematics Director Center for Optimization and Statistical Learning at Northwestern University.

Honors

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Experiences

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Education

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Jorge Nocedal

Northwestern University

Walter P Murphy Professor of Industrial Engineering and Management Sciences and by courtesy Engineering Sciences and Applied Mathematics Director Center for Optimization and Statistical Learning

You can click a keyword to filter the displayed items

applied mathematics mathematical optimization computational optimization computer science machine learning mathematical programming numerical analysis unconstrained optimization nonlinear optimization constrained optimization nonlinear programming derivative-free optimization data science engineering scientific computing numerical algorithms large scale optimization quadratic programming convex optimization optimization problems formal methods numerical linear algebra engineering optimization estimation theory complementarity problems optimization methods interior methods trust region method theory of computation computational mathematics program analysis computational science numerical mathematics algorithm engineering algorithm implementation algorithm design linear programming adaptive optimization large-scale nonlinear programming numerical optimization conjugate gradient methods numerical study nonlinear interior methods interior point method second-order methods numerical performance second-order method interior-point methods control optimization speech processing convex analysis global optimization computational statistics program optimization stochastic optimization weather forecasting pde-constrained optimization data assimilation nondifferentiable optimization convergence analysis conic optimization error analysis online algorithms adaptive computing matrix methods automatic differentiation performance scalability constraint programming audio analysis large-scale machine learning interior point algorithm interior point techniques

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Design Guidelines for Noise-Tolerant Optimization With Applications in Robust Design. SIAM Journal on Scientific Computing (2025)

design optimizationrobust optimizationcomputer engineeringsystems engineeringdesign guidelinesnoiseglobal optimizationoptimization problemsengineering optimization

An Iterative Approach for Solving the Scopf Problem Applying Lp, Socp, and NLP Subproblems. (2024)

Jorge Nocedal

natural language processingnlp taskscopf problemapplied mathematicsoptimization problemsmathematical optimization

A Trust Region Method for Noisy Unconstrained Optimization. Mathematical Programming (2023)

Shigeng SunJorge Nocedal

computer sciencemachine learningtrust region methodnoisy unconstrained optimizationunconstrained optimizationmathematical programming

Constrained and Composite Optimization via Adaptive Sampling Methods. IMA Journal of Numerical Analysis (2023)

Yuchen XieRaghu BollapragadaRichard ByrdJorge Nocedal

machine learningconstrained optimizationadaptive sampling methodsunconstrained optimizationapplied mathematicsnumerical analysiscomposite optimization

Constrained Optimization in the Presence of Noise. SIAM Journal on Optimization (2023)

Figen OztoprakRichard ByrdJorge Nocedal

control optimizationconstraint programmingconstrained optimizationunconstrained optimizationcomputational optimizationnoisemathematical optimization

Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization. SIAM Journal on Scientific Computing (2022)

Hao-Jun Michael ShiYuchen XieMelody Qiming XuanJorge Nocedal

computational sciencecomputer scienceadaptive optimizationnoisy derivative-free optimizationestimation theoryscientific computingadaptive computingcomputational optimizationmathematical optimization

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization. SIAM Journal on Optimization (2022)

Hao-Jun M. ShiYuchen XieRichard ByrdJorge Nocedal

constrained optimizationunconstrained optimizationmathematical optimizationcomputational optimization

A Trust Region Method for the Optimization of Noisy Functions. arXiv (Cornell University) (2022)

Sun, ShigengNocedal, Jorge

computer sciencemachine learningnoisy functionstrust region methodmathematical optimization

On the Numerical Performance of Finite-Difference-Based Methods for Derivative-Free Optimization. Optimization methods & software (2022)

Hao-Jun Michael ShiMelody Qiming XuanFigen OztoprakJorge Nocedal

numerical performancefinite-difference-based methodsderivative-free optimization

On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations. arXiv (Cornell University) (2021)

Hao-Jun Michael ShiMelody Qiming XuanFigen OztoprakJorge Nocedal

numerical performancefinite-difference approximationsderivative-free optimization methodsderivative-free optimization

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Jorge Nocedal

Walter P Murphy Professor of Industrial Engineering and Management Sciences and by courtesy Engineering Sciences and Applied Mathematics Director Center for Optimization and Statistical Learning

Northwestern University

Affiliations

Mccormick School of Engineering & Applied Science

Department of Engineering Sciences and Applied Mathematics

Department of Industrial Engineering and Management Sciences

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jorge Nocedal

Northwestern University

Walter P Murphy Professor of Industrial Engineering and Management Sciences and by courtesy Engineering Sciences and Applied Mathematics Director Center for Optimization and Statistical Learning

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Design Guidelines for Noise-Tolerant Optimization With Applications in Robust Design. SIAM Journal on Scientific Computing (2025)

design optimizationrobust optimizationcomputer engineeringsystems engineeringdesign guidelinesnoiseglobal optimizationoptimization problemsengineering optimization

An Iterative Approach for Solving the Scopf Problem Applying Lp, Socp, and NLP Subproblems. (2024)

Jorge Nocedal

natural language processingnlp taskscopf problemapplied mathematicsoptimization problemsmathematical optimization

A Trust Region Method for Noisy Unconstrained Optimization. Mathematical Programming (2023)

Shigeng SunJorge Nocedal

computer sciencemachine learningtrust region methodnoisy unconstrained optimizationunconstrained optimizationmathematical programming

Constrained and Composite Optimization via Adaptive Sampling Methods. IMA Journal of Numerical Analysis (2023)

Yuchen XieRaghu BollapragadaRichard ByrdJorge Nocedal

machine learningconstrained optimizationadaptive sampling methodsunconstrained optimizationapplied mathematicsnumerical analysiscomposite optimization

Constrained Optimization in the Presence of Noise. SIAM Journal on Optimization (2023)

Figen OztoprakRichard ByrdJorge Nocedal

control optimizationconstraint programmingconstrained optimizationunconstrained optimizationcomputational optimizationnoisemathematical optimization

Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization. SIAM Journal on Scientific Computing (2022)

Hao-Jun Michael ShiYuchen XieMelody Qiming XuanJorge Nocedal

computational sciencecomputer scienceadaptive optimizationnoisy derivative-free optimizationestimation theoryscientific computingadaptive computingcomputational optimizationmathematical optimization

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization. SIAM Journal on Optimization (2022)

Hao-Jun M. ShiYuchen XieRichard ByrdJorge Nocedal

constrained optimizationunconstrained optimizationmathematical optimizationcomputational optimization

A Trust Region Method for the Optimization of Noisy Functions. arXiv (Cornell University) (2022)

Sun, ShigengNocedal, Jorge

computer sciencemachine learningnoisy functionstrust region methodmathematical optimization

On the Numerical Performance of Finite-Difference-Based Methods for Derivative-Free Optimization. Optimization methods & software (2022)

Hao-Jun Michael ShiMelody Qiming XuanFigen OztoprakJorge Nocedal

numerical performancefinite-difference-based methodsderivative-free optimization

On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations. arXiv (Cornell University) (2021)

Hao-Jun Michael ShiMelody Qiming XuanFigen OztoprakJorge Nocedal

numerical performancefinite-difference approximationsderivative-free optimization methodsderivative-free optimization

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Similar Faculty Members

Michael Saunders

Institution

Stanford University

applied mathematics

computer science

Walter Murray

Institution

Stanford University

numerical linear algebra

nonlinear programming

Stefan Wild

Institution

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computer science

machine learning

Lieven Vandenberghe

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University of California, Los Angeles

engineering optimization

continuous optimization

Juan Alonso

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uncertainty quantification

robust optimization

Roger Georges Ghanem

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University of Southern California

earthquake engineering

stochastic process

Elijah Polak

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University of California, Berkeley

optimal control

design optimization

Erfan Yazdandoost Hamedani

Institution

University of Arizona

bilevel optimization

computational optimization

Nikolaos Sahinidis

Institution

Carnegie Mellon University

mixed-integer nonlinear programs

engineering

Ding-Zhu Du

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University of Texas at Dallas

electrical engineering

software engineering education