Philip E. Gill

Philip E. Gill

University of California, San Diego

H-index: 63

North America-United States

About Philip E. Gill

Philip E. Gill, With an exceptional h-index of 63 and a recent h-index of 26 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Computational Science, Numerical optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A projected-search interior-point method for nonlinearly constrained optimization

An Trust-Region Quasi-Newton Method

A class of projected-search methods for bound-constrained optimization

Equations for a projected-search path-following method for nonlinear optimization

Projected-Search Methods for Bound-Constrained Optimization

Line-search and trust-region equations for a primal-dual interior method for nonlinear optimization

A limited-memory reduced-Hessian method for bound-constrained optimization

Numerical linear algebra and optimization

Philip E. Gill Information

University

Position

Department of Mathematics

Citations(all)

36205

Citations(since 2020)

5455

Cited By

31864

hIndex(all)

63

hIndex(since 2020)

26

i10Index(all)

127

i10Index(since 2020)

54

Email

University Profile Page

Google Scholar

Philip E. Gill Skills & Research Interests

Computational Science

Numerical optimization

Top articles of Philip E. Gill

Title

Journal

Author(s)

Publication Date

A projected-search interior-point method for nonlinearly constrained optimization

Computational Optimization and Applications

Philip E Gill

Minxin Zhang

2024/2/21

An Trust-Region Quasi-Newton Method

arXiv preprint arXiv:2312.06884

Johannes J Brust

Philip E Gill

2023/12/11

A class of projected-search methods for bound-constrained optimization

Optimization Methods and Software

Michael W Ferry

Philip E Gill

Elizabeth Wong

Minxin Zhang

2023/8/12

Equations for a projected-search path-following method for nonlinear optimization

Center for Computational Mathematics Report CCoM

Philip E Gill

Minxin Zhang

2022/6

Projected-Search Methods for Bound-Constrained Optimization

arXiv preprint arXiv:2110.08359

Michael W Ferry

Philip E Gill

Elizabeth Wong

Minxin Zhang

2021/10/15

Line-search and trust-region equations for a primal-dual interior method for nonlinear optimization

Center for Computational Mathematics Report Technical Report CCoM-21-4, University of California, San Diego

Philip E Gill

Vyacheslav Kungurtsev

Daniel P Robinson

2021/9/1

A limited-memory reduced-Hessian method for bound-constrained optimization

Center for Computational Mathematics Report CCoM

Michael W Ferry

Philip E Gill

Elizabeth Wong

Minxin Zhang

2021/5/25

Numerical linear algebra and optimization

Philip E Gill

Walter Murray

Margaret H Wright

2021

Solving reduced KKT systems in barrier methods for linear programming

Philip E Gill

Walter Murray

Dulce B Ponceleón

Michael A Saunders

2020/10/7

Supplementary numerical results for projected-search methods for bound-constrained optimization

Center for Computational Mathematics Report CCoM

Michael W Ferry

Philip E Gill

Elizabeth Wong

Minxin Zhang

2020/8/10

A probabilistic path planning framework for optimizing feasible trajectories of autonomous search vehicles leveraging the projected-search reduced Hessian (LRH-B) method

Shahrouz Alimo

Abhishek Subramanian

Thomas Bewley

Philip Gill

2020/1/6

A shifted primal-dual penalty-barrier method for nonlinear optimization

SIAM Journal on Optimization

Philip E Gill

Vyacheslav Kungurtsev

Daniel P Robinson

2020

See List of Professors in Philip E. Gill University(University of California, San Diego)

Co-Authors

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