Results 61 to 70 of about 253 (176)
In this article, we work on vector optimization problems in linear topological spaces. Our vector optimization problems have weakened convex inequality constraints and weakened affine equality constraints.
Zeng Renying
doaj +1 more source
Background — Anal sac impaction is common in dogs and manual expression may be effective, yet recurrence remains a problem. To facilitate physiological emptying of the sacs, it is important to maintain a bulky stool consistency. Objectives — The study evaluated if supplementation with ProGlan, a complementary feed containing Bacillus velezensis C‐3102 ...
Marta Salichs +2 more
wiley +1 more source
Hybrid conjugate gradient-BFGS methods based on Wolfe line search [PDF]
In this paper, we present some hybrid methods for solving unconstrained optimization problems. These methods are defined using proper combinations of the search directions and included parameters in conjugate gradient and quasi-Newton method of Broyden ...
DJAMEL, Benterki, SAMIA, Khelladi
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Learning to steer nonlinear interior-point methods
Interior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters.
Renke Kuhlmann
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Many real-world optimization models comprise nonconvex and nonsmooth functions leading to very hard classes of optimization models. In this article, a new interior-point method for the special, but practically relevant class of optimization problems with
Martin Schmidt
doaj +1 more source
SIOPRED: a prediction and optimisation integrated system for demand
Forecasting, Holt-Winters method, Non-linear optimisation, Decision support systems, 62M10, 62M20, 62P30, 90C30,
J. Bermúdez, J. Segura, E. Vercher
core +1 more source
Adjoint-based Monte Carlo calibration of financial market models
Adjoint equation, Monte Carlo calibration, Multi-layer method, 65C05, 65K05, 90C30, 90C90, 91B28, C61, C63,
E. Sachs, C. Kaebe, J. Maruhn
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Optimal value bounds in nonlinear programming with interval data
Interval systems, Nonlinear programming, Optimal value range, Interval matrix, Dependence, 90C30, 90C31, 90C70,
Milan Hladík
core +1 more source
A primal-dual interior-point algorithm for nonlinear least squares constrained problems
Least squares, factorized quasi-Newton methods, primal-dual interior-point method, 90C30, 49M37,
M. Fernanda +4 more
core +1 more source
Characterizing zero-derivative points
Zero-derivative point, Fermat’s extreme value theorem, Theorem of Lagrange, 26B05, 90C30,
Sanjo Zlobec
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