A mountain pass method for the numerical solution of semilinear elliptic problems
Nonlinear Analysis: Theory, Methods & Applications
What is the subdifferential of the closed convex hull of a function?
SIAM Journal on Mathematical Analysis
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Journal of Computational and Applied Mathematics
A Minimax Method for Finding Multiple Critical Points and Its Applications to Semilinear PDEs
SIAM Journal on Scientific Computing
Numerical Variational Methods Applied to Cylinder Buckling
SIAM Journal on Scientific Computing
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In this paper, we present an enhanced version of the minimax algorithm of Chen, Ni, and Zhou that offers the additional guarantee that the solution found is a fix-point of a projector on a cone. Positivity, negativity, and monotonicity can be expressed in this way. The convergence of the algorithm is proved by means of a ''computational deformation lemma'' instead of the usual deformation lemma used in the calculus of variations.