Numerical experience with a recursive trust-region method for multilevel nonlinear bound-constrained optimization
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Publication:3562407
DOI10.1080/10556780903239295zbMath1190.90209OpenAlexW2168126589WikidataQ58185729 ScholiaQ58185729MaRDI QIDQ3562407
Annick Sartenaer, Serge Gratton, Mélodie Mouffe, Dimitri Tomanos, Phillipe L. Toint
Publication date: 21 May 2010
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10556780903239295
Related Items (16)
Newton-type multilevel optimization method ⋮ Improving Direct Search algorithms by multilevel optimization techniques ⋮ Coordinate search algorithms in multilevel optimization ⋮ A recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture ⋮ A trust-region framework for constrained optimization using reduced order modeling ⋮ Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training ⋮ On the use of the energy norm in trust-region and adaptive cubic regularization subproblems ⋮ Using approximate secant equations in limited memory methods for multilevel unconstrained optimization ⋮ A Multilevel Proximal Gradient Algorithm for a Class of Composite Optimization Problems ⋮ Approximating Hessians in unconstrained optimization arising from discretized problems ⋮ Reconstructing local volatility using total variation ⋮ Properties of a class of multilevel optimization algorithms for equality-constrained problems ⋮ A trust-region framework for real-time optimization with structural process-model mismatch ⋮ A first-order multigrid method for bound-constrained convex optimization ⋮ Subdivision-Based Nonlinear Multiscale Cloth Simulation ⋮ Riemannian Multigrid Line Search for Low-Rank Problems
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