Results 101 to 110 of about 173 (143)

Optimality condition and iterative thresholding algorithm for [Formula: see text]-regularization problems. [PDF]

Springerplus, 2016
Jiao H, Chen Y, Yin J.
europepmc   +1 more source

Global search based on efficient diagonal partitions and a set of Lipschitz constants

, 2006
. In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz constant is considered.
Yaroslav D. Sergeyev, Dmitri, E. Kvasov
core  

Fast convergence of trust-regions for non-isolated minima via analysis of CG on indefinite matrices. [PDF]

Math Program
Rebjock Q, Boumal N.
europepmc   +1 more source

An efficient method for generalized linear multiplicative programming problem with multiplicative constraints. [PDF]

Springerplus, 2016
Zhao Y, Liu S.
europepmc   +1 more source

A DECOMPOSITION ALGORITHM FOR TWO-STAGE STOCHASTIC PROGRAMS WITH NONCONVEX RECOURSE FUNCTIONS. [PDF]

SIAM J Optim
Li H, Cui Y.
europepmc   +1 more source

A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations. [PDF]

J Inequal Appl, 2018
Yuan G, Hu W.
europepmc   +1 more source

Trust Region Affine Scaling Algorithms for Linearly Constrained Convex and Concave Programs

, 1996
We study a trust region affine scaling algorithm for solving the linearly constrained convex or concave programming problem. Under primal nondegeneracy assumption, we prove that every accumulation point of the sequence generated by the algorithm ...
Yanhui Wang, Renato D.C. Monteiro
core  

A robust method based on LOVO functions for solving least squares problems

The robust adjustment of nonlinear models to data is considered in this paper. When data comes from real experiments, it is possible that measurement errors cause the appearance of discrepant values, which should be ignored when adjusting models to them.
W. V. I. Shirabayashi, F. N. C. Sobral, R. Lopes, E. V. Castelani   +3 more
core   +1 more source

A radial basis function method for noisy global optimisation. [PDF]

Math Program
Banholzer D, Fliege J, Werner R.
europepmc   +1 more source

A Support Based Algorithm for Optimization with Eigenvalue Constraints

, 2013
Optimization of convex functions subject to eigenvalue constraints is intriguing because of peculiar analytical properties of eigenvalues, and is of practical interest because of wide range of applications in fields such as structural design and control ...
Emre Mengi
core