World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3836
World Ranking
3349
National Ranking
26

Overview

Stig Larsson is affiliated with Chalmers University of Technology in Sweden. Their research spans several fields, focusing primarily on Engineering and Mathematics.

The scientist's work covers multiple subfields, including:

  • Computational Mechanics
  • Mechanical Engineering
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Numerical Analysis

Research topics explored by Stig Larsson include:

  • Advanced Mathematical Modeling in Engineering
  • Differential Equations and Numerical Methods
  • Advanced Numerical Methods in Computational Mathematics
  • Meteorological Phenomena and Simulations
  • Model Reduction and Neural Networks
  • Target Tracking and Data Fusion in Sensor Networks
  • Additive Manufacturing Materials and Processes

Frequent coauthors collaborating with Stig Larsson are:

  • Ricardo H. Nochetto
  • Stefan Sauter
  • Christian Wieners
  • Kasper Bågmark
  • Adam Andersson

The scientist's publications have appeared in the following venues:

  • Oberwolfach Reports
  • Partial Differential Equations and Applications
  • Journal of Mathematics in Industry
  • BIT Numerical Mathematics

Recent papers by Stig Larsson include:

  • "Space-Time Methods for Time-Dependent Partial Differential Equations", 2023, Oberwolfach Reports
  • "An energy-based deep splitting method for the nonlinear filtering problem", 2023, Partial Differential Equations and Applications
  • "A greedy algorithm for optimal heating in powder-bed-based additive manufacturing", 2021, Journal of Mathematics in Industry
  • "Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations", 2021, BIT Numerical Mathematics

Best Publications

  • Partial Differential Equations with Numerical Methods

    Stig Larsson;Vidar Thomée

  • Error estimates with smooth and nonsmooth data for a finite element method for the Cahn-Hilliard equation

    Charles M. Elliott;Stig Larsson

  • Numerical solution of parabolic integro-differential equations by the discontinuous Galerkin method

    Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • Adaptive Finite Element Methods for Parabolic Problems VI: Analytic Semigroups

    Kenneth Eriksson;Claes Johnson;Stig Larsson

  • The stability of rational approximations of analytic semigroups

    Michel Crouzeix;Stig Larsson;Sergei Piskarev;Vidar Thomee

  • Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems

    Sergios Agapiou;Stig Larsson;Stig Larsson;Andrew M. Stuart

  • Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise

    Mihály Kovács;Stig Larsson;Fardin Saedpanah

  • Finite-Element Methods for a Strongly Damped Wave Equation

    Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • A finite element model for the time-dependent Joule heating problem

    Charles M. Elliott;Stig Larsson

  • Weak convergence of finite element approximations of linear stochastic evolution equations with additive noise

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • The long-time behavior of finite-element approximations of solutions of semilinear parabolic problems

    Stig Larsson

  • Weak convergence for a spatial approximation of the nonlinear stochastic heat equation

    Adam Andersson;Stig Larsson

  • Full Discretization of Semilinear Stochastic Wave Equations Driven by Multiplicative Noise

    Rikard Anton;David Cohen;Stig Larsson;Xiaojie Wang

  • Error estimates for spatially discrete approximations of semilinear parabolic equations with nonsmooth initial data

    Claes Johnson;Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • Strong convergence of the finite element method with truncated noise for semilinear parabolic stochastic equations with additive noise

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • Adaptive discretization of fractional order viscoelasticity using sparse time history

    Klas Adolfsson;Mikael Enelund;Stig Larsson

  • Rate of weak convergence of the finite element method for the stochastic heat equation with additive noise

    Matthias Geissert;Mihály Kovács;Stig Larsson

  • Error Estimates of Optimal Order for Finite Element Methods with Interpolated Coefficients for the Nonlinear Heat Equation

    Chuan-Miao Chen;Stig Larsson;Nai-Ying Zhang

  • Weak convergence of finite element approximations of linear stochastic evolution equations with additive noise II. Fully discrete schemes

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • Discontinuous Galerkin method for an integro-differential equation modeling dynamic fractional order viscoelasticity

    Stig Larsson;Milena Racheva;Fardin Saedpanah

  • Introduction to stochastic partial differential equations

    Mihaly Kovacs;Stig Larsson

  • The continuous Galerkin method for an integro-differential equation modeling dynamic fractional order viscoelasticity

    Stig Larsson;Fardin Saedpanah

  • Full discretisation of semi-linear stochastic wave equations driven by multiplicative noise

    Rikard Anton;David Cohen;Stig Larsson;Xiaojie Wang

Frequent Co-Authors

Vidar Thomée
Vidar Thomée Chalmers University of Technology
Charles M. Elliott
Charles M. Elliott University of Warwick
Ricardo H. Nochetto
Ricardo H. Nochetto University of Maryland, College Park
Rikard Söderberg
Rikard Söderberg Chalmers University of Technology
Claes Johnson
Claes Johnson Royal Institute of Technology
Jesús María Sanz-Serna
Jesús María Sanz-Serna Carlos III University of Madrid
Andrew M. Stuart
Andrew M. Stuart California Institute of Technology
Raul Tempone
Raul Tempone King Abdullah University of Science and Technology

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