Matteo Molteni

Doktorand at Department of Mathematical Sciences, 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.

Source: chalmers.se

Projects

2013–2018

Numerical methods for computational anatomy

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

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Publications

2016

Discrete Variational Derivative Methods for the EPDiff Equation

Stig Larsson, Takayasu Matsuo, Klas Modin et al
Preprint
2016

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
Scientific journal article - peer reviewed
2016

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

M. Donatelli, Matteo Molteni, V. Pennati et al
Applied Numerical Mathematics. Vol. 104, p. 15-29
Scientific journal article - peer reviewed
2016

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

Stig Larsson, Matteo Molteni,
International Journal of Applied and Computational Mathematics. Vol. Epub ahead of print
Scientific journal article - peer reviewed
2014

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

Stig Larsson, Matteo Molteni,
Preprint