P
Per Lötstedt
Researcher at Uppsala University
Publications - 110
Citations - 3082
Per Lötstedt is an academic researcher from Uppsala University. The author has contributed to research in topics: Discretization & Partial differential equation. The author has an hindex of 28, co-authored 109 publications receiving 2960 citations. Previous affiliations of Per Lötstedt include Saab-Scania & Saab AB.
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Mechanical Systems of Rigid Bodies Subject to Unilateral Constraints
TL;DR: In this article, the properties of mechanical systems of rigid bodies subject to unilateral constraints are investigated and a numerical method for solution of these problems and generalizations of the constraints studied in this paper are briefly discussed.
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Coulomb Friction in Two-Dimensional Rigid Body Systems
TL;DR: The Coulomb friction problem for rigid bodies in two dimensions is analyzed in this article, where sufficient conditions for existence and uniqueness are given using the theory of linear complementarity, and the governing system of ordinary differential equations and inequalities is derived.
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Numerical solution of nonlinear differential equations with algebraic constraints I: Convergence results for backward differentiation formulas
Per Lötstedt,Linda R. Petzold +1 more
TL;DR: In this article, the behavior of numerical ODE methods for the solution of systems of differential equations coupled with algebraic constraints is investigated, and it is shown that backward differentiation formulas converge with the expected order of accuracy for these systems.
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Numerical Simulation of Time-Dependent Contact and Friction Problems in Rigid Body Mechanics
TL;DR: In this article, a numerical method is given for the solution of a system of ordinary differential equations and algebraic, unilateral constraints, where contacts between the bodies are created and disappear in the time interval of interest.
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Simulation of Stochastic Reaction-Diffusion Processes on Unstructured Meshes
TL;DR: This work model stochastic chemical systems with diffusion by a reaction-diffusion master equation and is a flexible hybrid algorithm in that the diffusion can be handled either on the meso- or on the macroscale level.