Results 131 to 140 of about 273,786 (182)

Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis. [PDF]

IEEE Trans Biomed Eng
Rafiei A, Motie-Shirazi M, Sameni R, Clifford GD, Katebi N.   +4 more
europepmc   +1 more source

codonGPT: reinforcement learning on a generative language model enables scalable mRNA design. [PDF]

Nucleic Acids Res
Rajbanshi B, Guruacharya A.
europepmc   +1 more source

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

Hernandez MA, Li Z, Cole TJ, Ong YY, Tilling K, Elhakeem A.   +5 more
europepmc   +1 more source

Hospital Readmission Reduction Program Penalties for Hospitals With High Medicare Advantage Penetration.

JAMA Netw Open
Chopra Z, Ryan AM, Hoffman GJ.
europepmc   +1 more source

EXACT PENALTY FUNCTIONS in $\varepsilon$-PROGRAMMING PROBLEMS

EXACT PENALTY FUNCTIONS in $\varepsilon$-PROGRAMMING PROBLEMS
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Exact Penalty Functions in Constrained Optimization

SIAM 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.
Di Pillo, G., Grippo, L.
openaire   +3 more sources

A New Exact Penalty Function

SIAM Journal on Optimization, 2003
A new approach to exact penalization of a constrained, nonlinear optimization problem is introduced. This is motivated by the desire to deal with the following list of perceived failures of other exact penalty methods: 1. nonsmoothness is avoided; 2. the penalized objective remains bounded below under mild assumptions; 3.
Huyer, Waltraud, Neumaier, Arnold
openaire   +4 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.
Evans, J. P., Gould, F. J., Tolle, J. W.
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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.
Han, S.-P., Mangasarian, O. L.
openaire   +3 more sources