Results 1 to 10 of about 42 (42)
In this article, weak and strong convergence theorems of the M-iteration method for đť’˘-nonexpansive mapping in a uniformly convex Banach space with a directed graph were established.
Chairatsiripong Chonjaroen +2 more
doaj +1 more source
A Dai-Liao-type projection method for monotone nonlinear equations and signal processing
In this article, inspired by the projection technique of Solodov and Svaiter, we exploit the simple structure, low memory requirement, and good convergence properties of the mixed conjugate gradient method of Stanimirović et al.
Ibrahim Abdulkarim Hassan +4 more
doaj +1 more source
A filter inexact-restoration method for nonlinear programming [PDF]
Filter method, Inexact-restoration, Line search, 49M37, 65K05, 90C30, 90C55,
Cândida Silva +3 more
core +1 more source
A globally convergent algorithm for MPCC
We propose a penalty formulation based on the new regularization scheme for mathematical programs with complementarity constraints (MPCCs). We present an active set method which solves a sequence of penalty-regularized problems.
Abdeslam Kadrani +2 more
doaj +1 more source
A comparison of four approaches from stochastic programming for large-scale unit-commitment
In energy management, the unit-commitment problem deals with computing the most cost-efficient production schedule that meets customer load, while satisfying the operational constraints of the units.
Wim van Ackooij
doaj +1 more source
On the construction of quadratic models for derivative-free trust-region algorithms
We consider derivative-free trust-region algorithms based on sampling approaches for convex constrained problems and discuss two conditions on the quadratic models for ensuring their global convergence.
Adriano Verdério +3 more
doaj +1 more source
Equilibrium of a production economy with non-compact attainable allocations set
In this paper, we consider a production economy with an unbounded attainable set where the consumers may have non-complete non-transitive preferences.
Ounaies Senda +2 more
doaj +1 more source
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
doaj +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
Energy-optimal control of unconstrained planar RRÂ robot manipulators
Optimal control, Variational calculus, Robotics, 49M15, 49M37, 68T40,
Ana GarcĂa-Bouso +3 more
core +1 more source

