World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
14426
World Ranking
889
National Ranking
427

Research.com Recognitions

  • 2009 - SIAM Fellow For contributions to variational analysis and nonsmooth optimization.

Overview

Adrian S. Lewis is affiliated with Cornell University in the United States and works primarily in the fields of mathematics, computer science, and engineering. Their research concentrates on a range of specialized topics within these disciplines, focusing on advanced optimization algorithms and variational analysis.

Their published work spans several subfields, including computational theory and mathematics, computational mechanics, numerical analysis, applied mathematics, and geometry and topology. This diverse coverage reflects a broad engagement with both theoretical and applied aspects of optimization and mathematical programming.

Lewis has contributed to the following main topics of research:

  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Sparse and Compressive Sensing Techniques
  • Advanced Numerical Analysis Techniques
  • Point processes and geometric inequalities
  • Stochastic Gradient Optimization Techniques
  • Topological and Geometric Data Analysis

The scientist's recent publications include:

  • "Partial Smoothness and Constant Rank," 2022, SIAM Journal on Optimization
  • "The Cost of Nonconvexity in Deterministic Nonsmooth Optimization," 2023, Mathematics of Operations Research
  • "Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization," 2023, SIAM Journal on Optimization
  • "Local Linear Convergence of Alternating Projections in Metric Spaces with Bounded Curvature," 2022, SIAM Journal on Optimization
  • "The complexity of first-order optimization methods from a metric perspective," 2024, Mathematical Programming

Frequent co-authors who have collaborated extensively with Adrian S. Lewis include Adriana Nicolae, Genaro López-Acedo, Tonghua Tian, Siyu Kong, and Ariel Goodwin.

Their work has been published notably in the following venues:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • Mathematics of Operations Research
  • Mathematical Programming
  • Foundations of Computational Mathematics

In recognition of their contributions to the field, Adrian S. Lewis was named a SIAM Fellow in 2009 for work in variational analysis and nonsmooth optimization.

Best Publications

  • Convex analysis and nonlinear optimization : theory and examples

    Jonathan M. Borwein;Adrian S Lewis

  • Convex analysis and nonlinear optimization

    Jonathan M. Borwein;Adrian S. Lewis

  • The Lojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems

    Je´roˆme Bolte;Aris Daniilidis;Adrian Lewis

  • A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization

    James V. Burke;Adrian S. Lewis;Michael L. Overton

  • Nonsmooth optimization via quasi-Newton methods

    Adrian S. Lewis;Michael L. Overton

  • Clarke Subgradients of Stratifiable Functions

    Jérôme Bolte;Aris Daniilidis;Adrian Lewis;Masahiro Shiota

  • Partially finite convex programming, Part I: Quasi relative interiors and duality theory

    J. M. Borwein;A. S. Lewis

  • Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

    D. Leventhal;Adrian S. Lewis

  • HIFOO - A MATLAB package for fixed-order controller design and H ∞ optimization

    J.V. Burke;D. Henrion;A.S. Lewis;M.L. Overton

  • Duality relationships for entropy-like minimization problems

    J. M. Borwein;A. S. Lewis

  • Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods

    Dmitriy Drusvyatskiy;Adrian S. Lewis

  • Error Bounds for Convex Inequality Systems

    Adrian S. Lewis;Jong-Shi Pang

  • Alternating Projections on Manifolds

    Adrian S. Lewis;Jérôme Malick

  • Local Linear Convergence for Alternating and Averaged Nonconvex Projections

    A. S. Lewis;D. R. Luke;J. Malick

  • The radius of metric regularity

    A. L. Dontchev;A. S. Lewis;R. T. Rockafellar

  • Convex Analysis on the Hermitian Matrices

    Adrian S. Lewis

  • Active Sets, Nonsmoothness, and Sensitivity

    A. S. Lewis

  • CONVERGENCE OF BEST ENTROPY ESTIMATES

    Jonathan M. Borwein;Adrian S. Lewis

  • The Convex Analysis of Unitarily Invariant Matrix Functions

    A.S. Lewis

  • Derivatives of spectral functions

    A. S. Lewis

Frequent Co-Authors

Jonathan M. Borwein
Jonathan M. Borwein University of Newcastle Australia
Michael L. Overton
Michael L. Overton Courant Institute of Mathematical Sciences
James V. Burke
James V. Burke University of Washington
Heinz H. Bauschke
Heinz H. Bauschke University of British Columbia
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Asen L. Dontchev
Asen L. Dontchev University of Michigan–Ann Arbor
Dominikus Noll
Dominikus Noll Paul Sabatier University
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Peter Borwein
Peter Borwein Simon Fraser University

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