Results 1 to 10 of about 1,235 (113)

The exactness of the ℓ1 penalty function for a class of mathematical programs with generalized complementarity constraints [PDF]

open access: yesFundamental Research
In a mathematical program with generalized complementarity constraints (MPGCC), complementarity relation is imposed between each pair of variable blocks.
Yukuan Hu, Xin Liu
doaj   +2 more sources

Convergence rate of the modified Levenberg-Marquardt method under Hölderian local error bound

open access: yesOpen Mathematics, 2022
In this article, we analyze the convergence rate of the modified Levenberg-Marquardt (MLM) method under the Hölderian local error bound condition and the Hölderian continuity of the Jacobian, which are more general than the local error bound condition ...
Zheng Lin, Chen Liang, Tang Yangxin
doaj   +1 more source

A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization

open access: yesTopological Algebra and its Applications, 2022
Conjugate gradient methods are very popular for solving large scale unconstrained optimization problems because of their simplicity to implement and low memory requirements.
Diphofu T., Kaelo P., Tufa A.R.
doaj   +1 more source

A Dai-Liao-type projection method for monotone nonlinear equations and signal processing

open access: yesDemonstratio Mathematica, 2022
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

New inertial forward–backward algorithm for convex minimization with applications

open access: yesDemonstratio Mathematica, 2023
In this work, we present a new proximal gradient algorithm based on Tseng’s extragradient method and an inertial technique to solve the convex minimization problem in real Hilbert spaces.
Kankam Kunrada   +2 more
doaj   +1 more source

A new conjugate gradient method for acceleration of gradient descent algorithms

open access: yesMoroccan Journal of Pure and Applied Analysis, 2021
An accelerated of the steepest descent method for solving unconstrained optimization problems is presented. which propose a fundamentally different conjugate gradient method, in which the well-known parameter βk is computed by an new formula.
Rahali Noureddine   +2 more
doaj   +1 more source

Subperiodic Dubiner distance, norming meshes and trigonometric polynomial optimization [PDF]

open access: yes, 2018
We extend the notion of Dubiner distance from algebraic to trigonometric polynomials on subintervals of the period, and we obtain its explicit form by the Szego variant of Videnskii inequality.
Vianello, Marco
core   +1 more source

A three-term Polak-Ribière-Polyak derivative-free method and its application to image restoration

open access: yesScientific African, 2021
In this paper, a derivative-free method for solving convex constrained nonlinear equations involving a monotone operator with a Lipschitz condition imposed on the underlying operator is introduced and studied.
Abdulkarim Hassan Ibrahim   +3 more
doaj   +1 more source

Using sentinels to detect intersections of convex and nonconvex polygons [PDF]

open access: yes, 2010
We describe finite sets of points, called sentinels, which allow us to decide if isometric copies of polygons, convex or not, intersect. As an example of the applicability of the concept of sentinel, we explain how they can be used to formulate an ...
BIRGIN, E.G., MASCARENHAS, W.F.
core   +1 more source

Halpern-type proximal point algorithm in complete CAT(0) metric spaces

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2016
First, Halpern-type proximal point algorithm is introduced in complete CAT(0) metric spaces. Then, Browder convergence theorem is considered for this algorithm and also we prove that Halpern-type proximal point algorithm converges strongly to a zero of ...
Heydari Mohammad Taghi, Ranjbar Sajad
doaj   +1 more source

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