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Stig Larsson is a Professor at the University of Gothenburg, specializing in numerical solutions of partial differential equations, particularly focusing on finite element methods. His current research interests include stochastic partial differential equations and equations perturbed by noise. Larsson has contributed extensively to the field, with numerous publications addressing prior and posterior error estimates, discontinuous Galerkin methods, and maximal regularity in stochastic contexts. He has collaborated on topics including the energy-based deep splitting method and nonlinear filtering problems, and has also investigated backward Euler-Maruyama methods applicable to multi-valued stochastic differential equations. With a strong background in computational mathematics, Larsson has published in prestigious journals, encompassing areas such as numerical analysis and applied mathematical modeling. His work includes analytical solutions for heat conduction problems, methods for preserving nonnegativity in finite element approaches, and convergence analyses of various stochastic processes. Larsson's research not only enhances theoretical understanding but also contributes practical insights applicable in engineering and other complex systems.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).