Complementary software to the article
"Minimization of p-Laplacian via the Finite Element Method in MATLAB"
Ctirad Matonoha, Alexej Moskovka, Jan Valdman
Minimization of energy functionals is based on a discretization by the finite element method and optimization by the trust-region method. A key tool is a local evaluation of the approximated gradients together with sparsity of the resulting Hessian matrix. We describe a vectorized MATLAB implementation of the p-Laplace problem in one and two space-dimensions.
Alexej Moskovka, Jan Valdman (2021). p-Laplace equation solver using 1D, 2D FEM (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved February 26, 2021.
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