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Nondifferentiable optimization via approximation

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Multiplier and gradient methods
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The multiplier method of Hestenes and Powell applied to convex programming
inferredcites →https://doi.org/10.1007/bf01580223openalex-snapshot
Validation of subgradient optimization
inferredcites →https://doi.org/10.1007/bfb0120703openalex-snapshot
A method of conjugate subgradients for minimizing nondifferentiable functions
inferredcites →https://doi.org/10.1016/0041-5553(69)90061-5openalex-snapshot
Minimization of unsmooth functionals
inferredcites →https://doi.org/10.1016/b978-0-12-468650-2.50010-9openalex-snapshot
ON PENALTY AND MULTIPLIER METHODS FOR CONSTRAINED MINIMIZATION**This work was supported by the Joint Services Electronics Program (U.S. Army, U.S. Navy, U.S. Air Force) under Contract DAAB-07-72-C-0259.
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Nonlinear Programming--Sequential Unconstrained Minimization Techniques
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Multiplier methods for convex programming
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A Descent Numerical Method for Optimization Problems with Nondifferentiable Cost Functionals
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Combined Primal-Dual and Penalty Methods for Constrained Minimization
inferredcites →https://doi.org/10.1137/0314020openalex-snapshot
Combined Primal–Dual and Penalty Methods for Convex Programming

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