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D-Index & Metrics

Mathematics

D-Index
30
Citations
6528
World Ranking
3433
National Ranking
1337

Overview

André L. Tits is affiliated with the University of Maryland, College Park in the United States. Their research activity spans the fields of engineering, mathematics, and computer science, with a particular concentration in control and systems engineering, numerical analysis, and computational theory and mathematics.

The main topics of their work include:

  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Advanced Control Systems Optimization
  • Stability and Control of Uncertain Systems
  • Stability and Controllability of Differential Equations
  • Control Systems and Identification

The scientist has contributed papers to well-established publication venues, including the journals Mathematical Programming and Automatica. Recent publications include:

  • "An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods" (2021, Mathematical Programming)
  • "Strong versions of impulsive controllability and sampled observability" (2024, Automatica)

Frequent co-authors of André L. Tits include:

  • M. Paul Laiu
  • Pierre-Antoine Absil
  • Irina Cojuhari
  • Ion Fiodorov

Their work primarily investigates optimization methods, particularly in contexts that require stability and control of systems governed by differential equations. These research efforts contribute to both theoretical and applied aspects of control systems engineering and numerical optimization techniques.

Best Publications

  • Robustness in the Presence of Joint parametric Uncertainty and Unmodeled Dynamics

    Michael K.H. Fan;Andre L. Tits;John C. Doyle

  • Robustness in the presence of mixed parametric uncertainty and unmodeled dynamics

    M.K.H. Fan;A.L. Tits;J.C. Doyle

  • DELIGHT.SPICE: an optimization-based system for the design of integrated circuits

    W. Nye;D.C. Riley;A. Sangiovanni-Vincentelli;A.L. Tits

  • User's Guide for CFSQP Version 2.0: A C Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality Constraints

    Craig T. Lawrence;J.L. Zhou;A.L. Tits

  • A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm

    Craig Travers Lawrence;Andre L. Tits

  • On combining feasibility, descent and superlinear convergence in inequality constrained optimization

    Eliane R. Panier;André L. Tits

  • A QP-Free, globally convergent, locally superlinearly convergent algorithm for inequality constrained optimization

    Eliane R. Panier;André L. Tits;José N. Herskovits

  • A superlinearly convergent feasible method for the solution of inequality constrained optimization problems

    Eliane R. Panier;André L. Tits

  • Characterization and efficient computation of the structured singular value

    M. Fan;A. Tits

  • Guardian maps and the generalized stability of parametrized families of matrices and polynomials

    Lahcen Saydy;André L. Tits;André L. Tits;Eyad H. Abed

  • Nonmonotone line search for minimax problems

    J. L. Zhou;A. L. Tits

  • Avoiding the Maratos effect by means of a nonmonotone line search I. general constrained problems

    Elliane R. Panier;André L. Tits

  • Avoiding the Maratos effect by means of a nonmonotone line search II. Inequality constrained problems—feasible iterates

    J. Frédéric Bonnans;Eliane R. Panier;André L. Tits;Jian L. Zhou

  • A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties

    André L. Tits;Andreas Wächter;Sasan Bakhtiari;Thomas J. Urban

  • Nonlinear Equality Constraints in Feasible Sequential Quadratic Programming

    Craig T. Lawrence;André L. Tits

  • An SQP Algorithm for Finely Discretized Continuous Minimax Problems and Other Minimax Problems with Many Objective Functions

    Jian L. Zhou;André L. Tits

  • High-order entropy-based closures for linear transport in slab geometry II: A computational study of the optimization problem

    Graham W. Alldredge;Cory D. Hauck;André L. Tits

  • Globally convergent algorithms for robust pole assignment by state feedback

    A.L. Tits;Yaguang Yang

  • An application-oriented, optimization-based methodology for interactive design of engineering systems†

    William T. Nye;André L. Tits

  • m-form numerical range and the computation of the structured singular value

    M.K. Fan;A.L. Tits

  • Robustness under bounded uncertainty with phase information

    A.L. Tits;V. Balakrishnan;L. Lee

Frequent Co-Authors

Eyad H. Abed
Eyad H. Abed University of Maryland, College Park
Dianne P. O'Leary
Dianne P. O'Leary University of Maryland, College Park
Venkataramanan Balakrishnan
Venkataramanan Balakrishnan Purdue University West Lafayette
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Elijah Polak
Elijah Polak University of California, Berkeley
Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
John C. Doyle
John C. Doyle California Institute of Technology
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Loo Hay Lee
Loo Hay Lee National University of Singapore

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