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On minimizing the sum of a convex function and a concave function

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-45567-4_7openalex-snapshot
Global Minimization of a Difference of Two Convex Functions
inferredcites →https://doi.org/10.1007/bfb0121159openalex-snapshot
Global minimization of a difference of two convex functions
inferredcites →https://doi.org/10.1515/9781400873173openalex-snapshot
Convex Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quasidifferentiable Optimization: Codifferentiable Functions
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Quasidifferentiable Optimization: Codifferentiable Functions
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Optimal Design and Identification Problems in Nonsmooth Mechanics
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Multilevel Optimization Methods in Mechanics
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Nonsmooth Mechanics I
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Nonsmooth Optimization Algorithms
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Nonsmooth Computational Mechanics
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Applied Nonconvex Optimization Background
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Numerical Methods for Minimizing Quasidifferentiable Functions: A Survey and Comparison
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Quasidifferentiable Optimization: Codifferentiable Functions
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Nonconvex Superpotentials and Hemivariational Inequalities. Quasidifferentiability in Mechanics
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Numerical treatment of hemivariational inequalities in mechanics: two methods based on the solution of convex subproblems
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Nonsmooth and nonconvex structural analysis algorithms based on difference convex optimization techniques
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Descent methods for quasidifferentiable minimization
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A new class of multilevel decomposition algorithms for non monotone problems based on the quasidifferentiability concept
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A Method for Minimization of Quasidifferentiable Functions
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A proximal alternating linearization method for nonconvex optimization problems
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Difference convex optimization techniques in nonsmooth computational mechanics
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On optimal damping of vibrating structures
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A Modified Hooke–Jeeves Algorithm in Two-Player Nonlinear Static Game: With an Application in Forest Management
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Proximal methods for minimizing the sum of a convex function and a composite function
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Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
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