Matteo Molteni

Doktorand at Mathematics

Matteo Molteni started his Ph.D. studies in Mathematics at Chalmers in August 2011. He is part of the research group in computational and applied mathematics and his main focus lies in the area of stochastic partial differential equations.




Numerical methods for computational anatomy

Klas Modin Applied Mathematics and Statistics
Anders Logg Applied Mathematics and Statistics
Stig Larsson Applied Mathematics and Statistics
Matteo Molteni Mathematics
Geir Bogfjellmo Applied Mathematics and Statistics
Milo Viviani Applied Mathematics and Statistics
Swedish Foundation for Strategic Research (SSF)

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Numerical solution of parabolic problems based on a weak space-time formulation

Stig Larsson, Matteo Molteni
Computational Methods in Applied Mathematics. Vol. e-pub ahead of print (1), p. 65-84
Journal article

A weak space-time formulation for the linear stochastic heat equation

Matteo Molteni, Stig Larsson
International Journal of Applied and Computational Mathematics. Vol. Epub ahead of print
Journal article

Discrete Variational Derivative Methods for the EPDiff Equation

Stig Larsson, Klas Modin, Takayasu Matsuo et al

Multigrid methods for cubic spline solution of two point (and 2D) boundary value problems

Matteo Molteni, S. Serra-Capizzano, M. Donatelli et al
Applied Numerical Mathematics. Vol. 104, p. 15-29
Journal article