World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
60
Citations
19135
World Ranking
545
National Ranking
280

Engineering and Technology

D-Index
60
Citations
19226
World Ranking
2129
National Ranking
674

Research.com Recognitions

  • 2015 - SIAM Fellow For contributions to optimal control, optimization theory, and numerical optimization algorithms.

Overview

William W. Hager is affiliated with the University of Florida in the United States. Their research spans multiple areas primarily within engineering and mathematics, with a notable focus on optimization and control systems.

The main fields of study associated with their work include:

  • Engineering
  • Mathematics

Subfields of study cover specific technical domains such as:

  • Aerospace Engineering
  • Numerical Analysis
  • Computational Mechanics
  • Control and Systems Engineering
  • Computational Theory and Mathematics

The major research topics William W. Hager has contributed to are:

  • Advanced Optimization Algorithms Research
  • Spacecraft Dynamics and Control
  • Advanced Control Systems Optimization
  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Gas Dynamics and Kinetic Theory
  • Computational Fluid Dynamics and Aerodynamics

They have coauthored research with several frequent collaborators, including:

  • Anil V. Rao
  • Hongchao Zhang
  • Mahya Aghaee
  • Summer Atkins
  • Maia Martcheva

William W. Hager's publications are present in various academic venues with particular prominence in:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • ACM Transactions on Mathematical Software
  • Journal of Optimization Theory and Applications
  • SIAM Journal on Control and Optimization

Recent notable papers include:

  • "An inexact accelerated stochastic ADMM for separable convex optimization", 2022, Computational Optimization and Applications
  • "The Switch Point Algorithm", 2021, SIAM Journal on Control and Optimization
  • "Convergence rates for an inexact ADMM applied to separable convex optimization", 2020, Computational Optimization and Applications
  • "Algorithm 1003", 2020, ACM Transactions on Mathematical Software
  • "Modified Legendre-Gauss-Radau Collocation Method for Optimal Control Problems with Nonsmooth Solutions", 2021, Journal of Optimization Theory and Applications

William W. Hager has also contributed to book publications through the Society for Industrial and Applied Mathematics, with titles such as:

  • "Computational Methods in Optimal Control: Theory and Practice", forthcoming 2025
  • "Applied Numerical Linear Algebra", 2021

In 2015, William W. Hager was recognized as a SIAM Fellow for contributions to optimal control, optimization theory, and numerical optimization algorithms.

Best Publications

  • Updating the inverse of a matrix

    W. W. Hager

  • A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search

    William W. Hager;Hongchao Zhang

  • A SURVEY OF NONLINEAR CONJUGATE GRADIENT METHODS

    William W. Hager;Hongchao Zhang

  • Algorithm 887: CHOLMOD, Supernodal Sparse Cholesky Factorization and Update/Downdate

    Yanqing Chen;Timothy A. Davis;William W. Hager;Sivasankaran Rajamanickam

  • Brief paper: A unified framework for the numerical solution of optimal control problems using pseudospectral methods

    Divya Garg;Michael Patterson;William W. Hager;Anil V. Rao

  • A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization

    Hongchao Zhang;William W. Hager

  • Runge-Kutta methods in optimal control and the transformed adjoint system

    William W. Hager

  • An hp‐adaptive pseudospectral method for solving optimal control problems

    Christopher L. Darby;William W. Hager;Anil V. Rao

  • Algorithm 851: CG_DESCENT, a conjugate gradient method with guaranteed descent

    William W. Hager;Hongchao Zhang

  • Brief paper: Pseudospectral methods for solving infinite-horizon optimal control problems

    Divya Garg;William W. Hager;Anil V. Rao

  • Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral method

    Divya Garg;Michael A. Patterson;Camila Francolin;Christopher L. Darby

  • Error estimates for the finite element solution of variational inequalities

    Franco Brezzi;William W. Hager;P. A. Raviart

  • Joint transceiver design for MIMO communications using geometric mean decomposition

    Yi Jiang;Jian Li;W.W. Hager

  • Applied Numerical Linear Algebra

    William W. Hager

  • Lipschitz Continuity for Constrained Processes

    William W. Hager

  • A New Active Set Algorithm for Box Constrained Optimization

    William W. Hager;Hongchao Zhang

  • Discontinuous Galerkin methods for ordinary differential equations

    M. Delfour;W. Hager;F. Trochu

  • Uniform channel decomposition for MIMO communications

    Yi Jiang;Jian Li;W.W. Hager

  • Direct Trajectory Optimization Using a Variable Low-Order Adaptive Pseudospectral Method

    Christopher L. Darby;William W. Hager;Anil V. Rao

  • Error Estimates for the Finite Element Solution of Variational Inequalities. Part I. Primal Theory.

    Franco Brezzi;William W. Hager;P. A. Raviart

Frequent Co-Authors

Anil V. Rao
Anil V. Rao University of Florida
Asen L. Dontchev
Asen L. Dontchev University of Michigan–Ann Arbor
Timothy A. Davis
Timothy A. Davis Texas A&M University
Panos M. Pardalos
Panos M. Pardalos University of Florida
Eric Cancès
Eric Cancès École des Ponts ParisTech
Yunmei Chen
Yunmei Chen University of Florida
Steven A. Cummer
Steven A. Cummer Duke University
Yu-Hong Dai
Yu-Hong Dai Chinese Academy of Sciences
Franco Brezzi
Franco Brezzi National Research Council (CNR)
Rongling Wu
Rongling Wu Pennsylvania State University

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