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Nondifferentiable optimization via smooth approximation: General analytical approach

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What this work says

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

inferredcites →https://doi.org/10.1002/9780470316511openalex-snapshot
Simulation and the Monte Carlo Method
inferredcites →https://doi.org/10.1002/9781118723203openalex-snapshot
Practical Methods of Optimization
inferredcites →https://doi.org/10.1007/978-3-642-82118-9openalex-snapshot
Minimization Methods for Non-Differentiable Functions
inferredcites →https://doi.org/10.1007/bf00934131openalex-snapshot
Outer approximation algorithm for nondifferentiable optimization problems
inferredcites →https://doi.org/10.1007/bf00934777openalex-snapshot
The multiplier method of Hestenes and Powell applied to convex programming
inferredcites →https://doi.org/10.1007/bf00935008openalex-snapshot
Nondifferential optimization via adaptive smoothing
inferredcites →https://doi.org/10.1007/bf00935443openalex-snapshot
Outer approximation algorithm for nondifferentiable optimization problems
inferredcites →https://doi.org/10.1007/bf00942193openalex-snapshot
Directional derivatives in nonsmooth optimization
inferredcites →https://doi.org/10.1007/bf01581628openalex-snapshot
A smoothing-out technique for min—max optimization
inferredcites →https://doi.org/10.1007/bf01584321openalex-snapshot
Objective function approximations in mathematical programming
inferredcites →https://doi.org/10.1007/bf01589332openalex-snapshot
Combined lp and quasi-Newton methods for minimax optimization
inferredcites →https://doi.org/10.1007/bfb0008906openalex-snapshot
On three approaches to the construction of nondifferentiable optimization algorithms
inferredcites →https://doi.org/10.1007/bfb0074500openalex-snapshot
Methods of Descent for Nondifferentiable Optimization
inferredcites →https://doi.org/10.1007/bfb0120696openalex-snapshot
Nondifferentiable optimization via approximation
inferredcites →https://doi.org/10.1007/bfb0120960openalex-snapshot
A modification and an extension of Lemarechal’s algorithm for nonsmooth minimization
inferredcites →https://doi.org/10.1016/0378-4754(86)90025-xopenalex-snapshot
Inventory models under uncertainty: an adaptive approach
inferredcites →https://doi.org/10.1016/0378-4754(88)90129-2openalex-snapshot
Practical methods of optimization
inferredcites →https://doi.org/10.1016/0771-050x(81)90056-5openalex-snapshot
Bibliography on non-differentiable optimization and non-smooth analysis
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IIASA PROCEEDINGS SERIES
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Monte Carlo Optimization, Simulation and Sensitivity of Queueing Networks
inferredcites →https://doi.org/10.1080/00207727608941924openalex-snapshot
Non-linear minimax optimization as a sequence of leastpth optimization with finite values ofp
inferredcites →https://doi.org/10.1080/01621459.1981.10477752openalex-snapshot
A New Maximum Likelihood Algorithm for Piecewise Regression
inferredcites →https://doi.org/10.1090/s0002-9947-1975-0367131-6openalex-snapshot
Generalized Gradients and Applications
inferredcites →https://doi.org/10.1109/proc.1978.10837openalex-snapshot
On the use of windows for harmonic analysis with the discrete Fourier transform
inferredcites →https://doi.org/10.1137/0323031openalex-snapshot
Algorithm Models for Nondifferentiable Optimization
inferredcites →https://doi.org/10.1137/0326071openalex-snapshot
Smooth Optimization Methods for Minimax Problems
inferredcites →https://doi.org/10.1137/0715011openalex-snapshot
An Efficient Method to Solve the Minimax Problem Directly
inferredcites →https://doi.org/10.1137/0722004openalex-snapshot
Combined LP and Quasi-Newton Methods for Nonlinear $l_1 $ Optimization
inferredcites →https://doi.org/10.1137/0725031openalex-snapshot
Smoothed Functionals and Constrained Stochastic Approximation
inferredcites →https://doi.org/10.1137/1.9781611971309openalex-snapshot
Optimization and Nonsmooth Analysis
inferredcites →https://doi.org/10.1287/moor.8.1.26openalex-snapshot
Smoothed Functionals in Stochastic Optimization
inferredcites →https://doi.org/10.2307/1402380openalex-snapshot
Introduction to Minimax
inferredcites →https://doi.org/10.2307/2005981openalex-snapshot
Introduction to Minimax
inferredcites →https://doi.org/10.2307/2348850openalex-snapshot
Monte Carlo Optimization, Simulation and Sensitivity of Queueing Networks.
inferredcites →https://doi.org/10.2307/j.ctvcm4hcj.10openalex-snapshot
Nondifferentiable Optimization

What points at this work

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

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Issues in Large-Scale Global Molecular Optimization
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Smoothing Techniques for Macromolecular Global Optimization
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On Constrained Discontinuous Optimization
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A class of smoothing functions for nonlinear and mixed complementarity problems
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Generalized Sparse Recovery Model and Its Neural Dynamical Optimization Method for Compressed Sensing
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Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization
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Smoothing Functions for Sparse Optimization: A Unified Framework
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Neural network based on systematically generated smoothing functions for absolute value equation
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Unified smoothing functions for absolute value equation associated with second-order cone
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Newton-based stochastic optimization using q -Gaussian smoothed functional algorithms
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A convergent smoothing algorithm for training max –min fuzzy neural networks
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Neural network for nonsmooth pseudoconvex optimization with general convex constraints
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Neural network for a class of sparse optimization with L0 -regularization
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On nonsmooth and discontinuous problems of stochastic systems optimization
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Large scale portfolio optimization with piecewise linear transaction costs
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Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization
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Alleviating the Loss-Metric Mismatch in Supervised Single-Channel Speech Enhancement
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Optimizing Audio-Visual Speech Enhancement Using Multi-Level Distortion Measures for Audio-Visual Speech Recognition
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Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications
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Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation
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A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling
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A Smoothing Proximal Gradient Algorithm for Nonsmooth Convex Regression with Cardinality Penalty
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Smoothing algorithms for nonsmooth optimization over the Stiefel manifold with applications to the graph Fourier basis problem
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Smoothed Functional Algorithms for Stochastic Optimization Using q -Gaussian Distributions
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Simulation-Based Policy Gradient and Its Building Control Application
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A Simple Model for On-Sensor Phase-Detection Autofocusing Algorithm
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