Results 101 to 110 of about 273,786 (182)

Exact Penalty Functions in Nondifferentiable Programming Problems

Exact Penalty Functions in Nondifferentiable Programming Problems
application/pdf 論文(Article) In this note, some results of [5,Di Pillo and Grippo, JOTA,Vol.57,N0.3,1988] are extended to nondifferentiable prograrnming problems. The objective function and constraint functions are assumed to be locally Lipschitz. The main tool of this study is the concept of nonsmooth analysis.
openaire  

Vigi4Eudra-score: Evaluation of the completeness of spontaneous adverse drug reaction reports in EudraVigilance. [PDF]

PLoS One
Christ P, Dubrall D, Lex D, Grüger T, Schmid M, Sachs B.   +5 more
europepmc   +1 more source

Inverse scheduling method for aircraft flat-tail assembly production based on improved genetic algorithm. [PDF]

Sci Rep
Li T, Hua M, Wang J, Qin W.
europepmc   +1 more source

dGAMLSS: an exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts. [PDF]

Bioinformatics
Hu F, Tong J, Gardner M, Lifespan Brain Chart Consortium , Chen AA, Bethlehem RAI, Seidlitz J, Li H, Alexander-Bloch A, Chen Y, Shinohara RT.   +10 more
europepmc   +1 more source

Modal Backflow Neural Quantum States for Anharmonic Vibrational Calculations. [PDF]

J Chem Theory Comput
Ding L, Reiher M.
europepmc   +1 more source

Exact penalty functions for optimal control problems

A novel technique to solve optimal control problems with state constraints is proposed. We exploit the theory of exact penalty functions, used in mathematical programming, to construct a systematic procedure to transform two classes of problems with state constraints to equivalent penalized unconstrained problems. We focus on a special class of systems
openaire   +1 more source

The role of feedback for sensorimotor decisions under risk. [PDF]

J Vis
Wolf C, Belopolsky AV, Lappe M.
europepmc   +1 more source

A two-stage improved variable neighborhood search-sine cosine algorithm for the multi-row layout problem with safety consideration. [PDF]

Sci Rep
Rifai AP, Sari WP.
europepmc   +1 more source

Best Practices for Developing Linear Models With Multiple Explanatory Variables. [PDF]

Adv Genet (Hoboken)
Li B, Li X.
europepmc   +1 more source

SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules. [PDF]

BMC Bioinformatics
Tang AL, Liberles DA.
europepmc   +1 more source