Results 121 to 130 of about 13,831 (172)

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]

open access: yesEntropy (Basel)
Desuó Neto L   +3 more
europepmc   +1 more source

Capturing infant and child growth dynamics with P-splines mixed effects models

open access: yes
Hernandez MA   +5 more
europepmc   +1 more source

Exact Penalty Functions in Constrained Optimization [PDF]

open access: yesSIAM Journal on Control and Optimization, 1989
Summary: Formal definitions of exactness for penalty functions are introduced and sufficient conditions for a penalty function to be exact according to these definitions are stated, thus providing a unified framework for the study of both nondifferentiale and continuously differentiable penalty functions.
G Di Pillo, L Grippo
exaly   +3 more sources

A new class of exact penalty functions and penalty algorithms

Journal of Global Optimization, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinchuan Zhou   +2 more
exaly   +2 more sources

Exact penalty functions in nonlinear programming

Mathematical Programming, 1973
In this paper some new theoretic results on piecewise differentiable exact penalty functions are presented. Sufficient conditions are given for the existence of exact penalty functions for inequality constrained problems more general than concave and several classes of such functions are presented.
J P Evans, F J Gould
exaly   +3 more sources

Exact penalty functions in nonlinear programming

Mathematical Programming, 1979
It is shown that the existence of a strict local minimum satisfying the constraint qualification of [16] or McCormick's [12] second order sufficient optimality condition implies the existence of a class of exact local penalty functions (that is ones with a finite value of the penalty parameter) for a nonlinear programming problem.
O L Mangasarian, Mangasarian O L
exaly   +2 more sources

Optimality Conditions via Exact Penalty Functions [PDF]

open access: yesSIAM Journal on Optimization, 2010
In this paper, we study KKT optimality conditions for constrained nonlinear programming problems and strong and Mordukhovich stationarities for mathematical programs with complementarity constraints using $l_p$ penalty functions, with $0\leq p\leq1$. We introduce some optimality indication sets by using contingent derivatives of penalty function terms.
Meng, K, Yang, XQ
openaire   +3 more sources

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