Low-Rank Augmented Lagrangian algorithm designed to solve large-scale SDP problems.
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Updated
Sep 3, 2024 - Python
Low-Rank Augmented Lagrangian algorithm designed to solve large-scale SDP problems.
SciPy style API for NLopt
This repo collects results of nonlinear optimization solvers on standard benchmark problems
data-driven incentive mechanisms for federated learning in vehicular networks
keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation
Alternating Direction Method of Multipliers for Support Vector Machine
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Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.
[TVCG 2021] Mesh Total Generalized Variation for Denoising
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Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)
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