World's Best Scientists 2026 revealed!
Vaithilingam Jeyakumar

Vaithilingam Jeyakumar

D-Index & Metrics

Mathematics

D-Index
47
Citations
6568
World Ranking
1299
National Ranking
33

Engineering and Technology

D-Index
47
Citations
6573
World Ranking
4987
National Ranking
263

Overview

Vaithilingam Jeyakumar is affiliated with the University of New South Wales in Australia. Their research spans multiple fields within engineering and decision sciences, with a focus on optimization and mathematical programming.

The main fields of study associated with their work include:

  • Engineering
  • Decision Sciences

Within these broader domains, they have contributed extensively to subfields such as:

  • Management Science and Operations Research
  • Control and Systems Engineering
  • Ocean Engineering
  • Statistics and Probability
  • Computational Theory and Mathematics

The research topics Vaithilingam Jeyakumar has worked on cover a diverse range, including:

  • Risk and Portfolio Optimization
  • Optimization and Mathematical Programming
  • Water resources management and optimization
  • Fuzzy Systems and Optimization
  • Optimization and Variational Analysis
  • Advanced Optimization Algorithms Research
  • Genetic Neurodegenerative Diseases

Vaithilingam Jeyakumar has authored numerous papers published in various academic journals. Notable recent papers include:

  • "Exact conic programming reformulations of two-stage adjustable robust linear programs with new quadratic decision rules", 2020, Optimization Letters
  • "Generalized Farkas Lemma with Adjustable Variables and Two-Stage Robust Linear Programs", 2020, Journal of Optimization Theory and Applications
  • "The radius of robust feasibility of uncertain mathematical programs: A Survey and recent developments", 2021, European Journal of Operational Research
  • "Adjustable robust multiobjective linear optimization: Pareto optimal solutions via conic programming", 2022, Annals of Operations Research
  • "Calculating Radius of Robust Feasibility of Uncertain Linear Conic Programs via Semi-definite Programs", 2021, Journal of Optimization Theory and Applications

Their frequent coauthors include:

  • Guoyin Li
  • D. Woolnough
  • Queenie Yingkun Huang
  • Thái Doãn Chương
  • Miguel Á. Goberna

The primary venues for Vaithilingam Jeyakumar's work are:

  • Journal of Optimization Theory and Applications
  • Optimization
  • Optimization Letters
  • Journal of Global Optimization
  • EURO Journal on Computational Optimization

Best Publications

  • On generalised convex mathematical programming

    V. Jeyakumar;B. Mond

  • A class of nonconvex functions and mathematical programming

    T. Weir;V. Jeyakumar

  • Nonsmooth calculus, minimality, and monotonicity of convexificators

    V. Jeyakumar;D. T. Luc

  • NEW SEQUENTIAL LAGRANGE MULTIPLIER CONDITIONS CHARACTERIZING OPTIMALITY WITHOUT CONSTRAINT QUALIFICATION FOR CONVEX PROGRAMS

    Vaithilingam Jeyakumar;G. M. Lee;N. Dinh

  • Approximate Jacobian Matrices for Nonsmooth Continuous Maps and C 1 -Optimization

    V. Jeyakumar;D. T. Luc

  • Strong Duality in Robust Convex Programming: Complete Characterizations

    V. Jeyakumar;G. Y. Li

  • Non-convex quadratic minimization problems with quadratic constraints: global optimality conditions

    V. Jeyakumar;A. M. Rubinov;Z. Y. Wu

  • Generalizations of Slater's constraint qualification for infinite convex programs

    V. Jeyakumar;Henry Wolkowicz

  • A Solvability Theorem for a Class of Quasiconvex Mappings with Applications to Optimization

    V. Jeyakumar;W. Oettli;M. Natividad

  • Convexlike alternative theorems and mathematical programming

    V. Jeyakumar

  • Nonsmooth Vector Functions and Continuous Optimization

    V. Jeyakumar;D.T. Luc

  • A generalization of a minimax theorem of Fan via a theorem of the alternative

    V Jeyakumar

  • Convex composite multi-objective nonsmooth programming

    V. Jeyakumar;X. Q. Yang

  • Robust solutions to multi-objective linear programs with uncertain data

    Miguel A. Goberna;Vaithilingam Jeyakumar;Guoyin Li;José Vicente-Pérez

  • Hunting for a Smaller Convex Subdifferential

    V. F. Demyanov;V. F. Demyanov;V. Jeyakumar;V. Jeyakumar

  • Trust-region problems with linear inequality constraints: exact SDP relaxation, global optimality and robust optimization

    V. Jeyakumar;G. Y. Li

  • On characterizing the solution sets of pseudolinear programs

    V. Jeyakumar;X. Q. Yang

  • Characterizing Set Containments Involving Infinite Convex Constraints and Reverse-Convex Constraints

    V. Jeyakumar

  • A new geometric condition for Fenchel's duality in infinite dimensional spaces

    Regina Sandra Burachik;Vaithilingam Jeyakumar

  • Generalized second-order directional derivatives and optimization with C1,1 functions

    Xiaoqi Yang;V. Jeyakumar

Frequent Co-Authors

Guoyin Li
Guoyin Li University of New South Wales
Xiaoqi Yang
Xiaoqi Yang Hong Kong Polytechnic University
Jean B. Lasserre
Jean B. Lasserre Laboratory for Analysis and Architecture of Systems
Henry Wolkowicz
Henry Wolkowicz University of Waterloo
Bruce J. Brew
Bruce J. Brew University of New South Wales
Immanuel M. Bomze
Immanuel M. Bomze University of Vienna
Hoang Duong Tuan
Hoang Duong Tuan University of Technology Sydney
Robert S. Womersley
Robert S. Womersley University of New South Wales
Radu Ioan Boţ
Radu Ioan Boţ University of Vienna

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many graduates branch into fields like finance, business, and marketing, where analytical and quantitative skills are highly valued.

One popular option is a master of finance online. This degree complements a mathematics background by focusing on financial modeling, risk management, and investment analysis, often offering flexible and affordable study options.

For those interested in leadership roles, the quickest online MBA programs deliver essential business skills in an accelerated format, ideal for professionals eager to fast-track their career growth without compromising quality.

Marketing is another avenue where math skills apply, especially in data-driven strategies. The cheapest online marketing degree programs offer affordable and well-paying career paths blending creativity with analytics.

Lastly, for those seeking a comprehensive business education in a condensed timeframe, year long MBA programs provide rigorous training with the flexibility of completion in just 12 months.

Each of these options leverages mathematical expertise in various industries, empowering graduates to tailor their career paths to their interests and goals.

Best Scientists Citing Vaithilingam Jeyakumar

Trending Scientists

Recently Published Articles