Smoothing approximations for piecewise smooth functions: a probabilistic approach
DOI10.3934/naco.2021033zbMath1497.65032OpenAlexW3190491704WikidataQ114022453 ScholiaQ114022453MaRDI QIDQ2092301
Elmehdi Amhraoui, Tawfik Masrour
Publication date: 2 November 2022
Published in: Numerical Algebra, Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/naco.2021033
smoothing techniquesBoltzmann distributionpiecewise smooth functionsnon-smooth analysissmoothing approximations
Numerical smoothing, curve fitting (65D10) Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Nonsmooth analysis (49J52) Nondifferentiability (nondifferentiable functions, points of nondifferentiability), discontinuous derivatives (26A27)
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Cites Work
- A new smoothing approach to exact penalty functions for inequality constrained optimization problems
- A smoothing-type algorithm for absolute value equations
- Blending an implicit with a parametric surface
- Construction of flexible blending parametric surfaces via curves
- Smoothing of the lower-order exact penalty function for inequality constrained optimization
- On the smoothing of the square-root exact penalty function for inequality constrained optimization
- On almost smooth functions and piecewise smooth functions
- Smoothing approximations for some piecewise smooth functions
- Lagrange interpolation for continuous piecewise smooth functions
- A degree by degree recursive construction of Hermite spline interpolants
- Sensitivity analysis of composite piecewise smooth equations
- Unified smoothing functions for absolute value equation associated with second-order cone
- Numerical comparisons based on four smoothing functions for absolute value equation
- A simple method for smoothing functions and compressing Hermite data
- A property of piecewise smooth functions
- Numerical comparisons of smoothing functions for optimal correction of an infeasible system of absolute value equations
- The hyperbolic smoothing clustering method
- Hyperbolic smoothing function method for minimax problems
- Approximating piecewise-smooth functions
- A smoothing-out technique for min—max optimization
- Approximation and compression of piecewise smooth functions
- Qualitative aspects of the local approximation of a piecewise differentiable function
- New Smoothing Approximations to Piecewise Smooth Functions and Applications
- Second-Order Smoothing Objective Penalty Function for Constrained Optimization Problems
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