World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
48
Citations
9583
World Ranking
1206
National Ranking
22

Engineering and Technology

D-Index
48
Citations
9604
World Ranking
4533
National Ranking
73

Research.com Recognitions

  • 2020 - SIAM Fellow For contributions to domain decomposition and time parallel methods.

Overview

Martin J. Gander is affiliated with the University of Geneva in Switzerland and focuses on research at the intersection of engineering, computer science, and mathematics. Their published work includes a range of topics primarily in computational mechanics, numerical analysis, and advanced mathematical modeling.

The main fields of study for Martin J. Gander include:

  • Engineering
  • Computer Science
  • Mathematics

Within these, key subfields are:

  • Computational Mechanics
  • Computational Theory and Mathematics
  • Numerical Analysis
  • Electrical and Electronic Engineering
  • Mechanics of Materials

Their research focuses on advanced topics such as:

  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Mathematical Modeling in Engineering
  • Electromagnetic Simulation and Numerical Methods
  • Numerical Methods for Differential Equations
  • Matrix Theory and Algorithms
  • Numerical Methods in Engineering
  • Electromagnetic Scattering and Analysis

Recent publications by Martin J. Gander include:

  • "PARAOPT: A Parareal Algorithm for Optimality Systems" (2020), SIAM Journal on Scientific Computing
  • "A Diagonalization-Based Parareal Algorithm for Dissipative and Wave Propagation Problems" (2020), SIAM Journal on Numerical Analysis
  • "Schwarz methods by domain truncation" (2022), Acta Numerica
  • "Modeling and Analysis of the Coupling in Discrete Fracture Matrix Models" (2021), SIAM Journal on Numerical Analysis
  • "A Unified Analysis Framework for Iterative Parallel-in-Time Algorithms" (2023), SIAM Journal on Scientific Computing

Frequent publication venues for this author are:

  • arXiv (Cornell University)
  • SIAM Journal on Scientific Computing
  • SIAM Journal on Numerical Analysis
  • Numerical Algorithms
  • BIT Numerical Mathematics

Martin J. Gander has collaborated extensively with several co-authors, including:

  • Tommaso Vanzan
  • Laurence Halpern
  • Pratik M. Kumbhar
  • Liu-Di Lu
  • Thibaut Lunet

In addition to articles, they have published books with the Society for Industrial and Applied Mathematics, including:

  • "Iterative Methods and Preconditioners for Systems of Linear Equations" (2022)
  • "Time Parallel Time Integration" (2024)

Recognition for their contributions includes being named a SIAM Fellow in 2020 for work related to domain decomposition and time parallel methods.

Best Publications

  • Analysis of the Parareal Time-Parallel Time-Integration Method

    Martin J. Gander;Stefan Vandewalle

  • Optimized Schwarz Methods

    Martin J. Gander

  • Optimized Schwarz Methods without Overlap for the Helmholtz Equation

    Martin J. Gander;Frédéric Magoulès;Frédéric Nataf

  • Why it is Difficult to Solve Helmholtz Problems with Classical Iterative Methods

    O. G. Ernst;M. J. Gander

  • 50 Years of Time Parallel Time Integration

    Martin J. Gander

  • Schwarz Methods over the Course of Time

    Martin Jakob Gander

  • Optimized Schwarz Waveform Relaxation Methods for Advection Reaction Diffusion Problems

    M. J. Gander;L. Halpern

  • Space-Time Continuous Analysis of Waveform Relaxation for the Heat Equation

    Martin J. Gander;Andrew M. Stuart

  • Optimal Schwarz Waveform Relaxation for the One Dimensional Wave Equation

    Martin J. Gander;Laurence Halpern;Frédéric Nataf

  • Nonlinear Convergence Analysis for the Parareal Algorithm

    Martin Jakob Gander;Ernst Hairer

  • Optimized Schwarz Methods for Maxwell's Equations

    V. Dolean;M. J. Gander;L. Gerardo-Giorda

  • A Class of Iterative Solvers for the Helmholtz Equation: Factorizations, Sweeping Preconditioners, Source Transfer, Single Layer Potentials, Polarized Traces, and Optimized Schwarz Methods

    Martin J. Gander;Hui Zhang

  • An optimized Schwarz method with two-sided Robin transmission conditions for the Helmholtz equation

    Martin Jakob Gander;Laurence Halpern;Frédéric Magoules

  • Analysis of a New Space-Time Parallel Multigrid Algorithm for Parabolic Problems

    Martin J. Gander;Martin Neumüller

  • A homographic best approximation problem with application to optimized Schwarz waveform relaxation

    Daniel Bennequin;Martin Jakob Gander;Laurence Halpern

  • From Euler, Ritz, and Galerkin to Modern Computing ∗

    Martin J. Gander;Gerhard Wanner

  • Why Restricted Additive Schwarz Converges Faster than Additive Schwarz

    Evridiki Efstathiou;Martin Jakob Gander

  • Applying GMRES to the Helmholtz equation with shifted Laplacian preconditioning: what is the largest shift for which wavenumber-independent convergence is guaranteed?

    M. J. Gander;I. G. Graham;E. A. Spence

  • Optimization of the Hermitian and Skew-Hermitian Splitting Iteration for Saddle-Point Problems

    Michele Benzi;Martin J. Gander;Gene H. Golub

  • Scientific Computing - An Introduction using Maple and MATLAB

    Walter Gander;Martin J. Gander;Felix Kwok

  • Optimal Convergence for Overlapping and Non-Overlapping Schwarz Waveform Relaxation

    Martin Jakob Gander;L. Halpern;F. Nataf

  • Optimized Schwarz Methods for Maxwell equations

    Victorita Dolean;Martin Gander;Luca Gerardo-Giorda

Frequent Co-Authors

Albert E. Ruehli
Albert E. Ruehli Missouri University of Science and Technology
Gene H. Golub
Gene H. Golub Stanford University
Olof B. Widlund
Olof B. Widlund Courant Institute of Mathematical Sciences
Luca Caricchi
Luca Caricchi University of Geneva
Daniel B. Szyld
Daniel B. Szyld Temple University
Bastien Chopard
Bastien Chopard University of Geneva
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa
Ernst Hairer
Ernst Hairer University of Geneva
Yvon Maday
Yvon Maday Sorbonne University

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

Studying Mathematics in the USA opens doors to a variety of online degree options that complement strong analytical and quantitative skills. For professionals aiming to elevate their careers, programs like the cheapest aacsb online dba offer an affordable pathway to executive leadership roles, integrating data-driven decision-making with business acumen.

Those interested in finance and investment can explore the cheapest online master's in finance, focusing on financial modeling and quantitative analysis—skills highly valued in markets worldwide.

For quicker advancement, the quickest online mba programs allow individuals to gain essential leadership and management expertise without putting their careers on hold.

Additionally, a masters degree in marketing can be a strategic choice for math graduates who want to apply analytics in consumer behavior and market trends, blending creativity with data science for impactful results.

Best Scientists Citing Martin J. Gander

Trending Scientists

Recently Published Articles