SiMPL uses Bregman divergences from mirror descent to enforce point-wise polytopal material constraints in topology optimization, with global constraints solved via a dual problem.
and Lu, Peihuang and Nocedal, Jorge , title =
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2026 3verdicts
UNVERDICTED 3representative citing papers
A Riemannian L-BFGS method with adapted Cauchy-point bound handling outperforms classical interior-point and L-BFGS-B solvers on mixed manifold-plus-bounds problems by orders of magnitude.
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.
citing papers explorer
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The SiMPL Method for Multi-Material Topology Optimization
SiMPL uses Bregman divergences from mirror descent to enforce point-wise polytopal material constraints in topology optimization, with global constraints solved via a dual problem.
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A Riemannian quasi-Newton algorithm for optimization with Euclidean bounds
A Riemannian L-BFGS method with adapted Cauchy-point bound handling outperforms classical interior-point and L-BFGS-B solvers on mixed manifold-plus-bounds problems by orders of magnitude.
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PISP: Projected-Space Inference of Stellar Parameters
PISP projects high-dimensional spectra into optimized subspaces using PCA or active subspaces plus L1 selection to raise accuracy and speed of stellar parameter inference over standard methods.