Results 11 to 20 of about 57 (55)

Signal recovery and polynomiographic visualization of modified Noor iteration of operators with property (E)

Demonstratio Mathematica
This article aims to provide a modified Noor iterative scheme to approximate the fixed points of generalized nonexpansive mappings with property (EE) called MN-iteration.
Paimsang Papinwich, Thianwan Tanakit
doaj   +1 more source

Modified four-term conjugate gradient method with applications in image restoration and regression problem

Demonstratio Mathematica
The conjugate gradient (CG) method is recognized for resolving unconstrained optimization problems because of its efficiency, robustness, and minimal memory demands.
Masmali Sultanah, Alhawarat Ahmad, Salleh Zabidin, Masmali Ibtisam, Sabra Ramadan   +4 more
doaj   +1 more source

A novel four-term conjugate gradient method for large-scale optimization problems involving formulation and application

Franklin Open
The conjugate gradient (CG) method is widely employed for solving unconstrained optimization problems due to its independence from second derivatives or their approximations. It has found extensive applications in fields such as image restoration, neural
Ahmad Alhawarat, Sulaiman M. Ibrahim, Abdullah S. Al-Jawarneh, Mohammad N Al Smadi, Shahrina Ismail   +4 more
doaj   +1 more source

Initial Results Of An Mdo Method Evaluation Study

, 1998
The NASA Langley MDO method evaluation study seeks to arrive at a set of guidelines for using promising MDO methods by accumulating and analyzing computational data for such methods.
Srinivas Kodiyalam Y, Natalia M. Alexandrov, Natalia Alexandrov, Alexandrov, Natalia M., Srinivas Kodiyalam, Kodiyalam, Srinivas   +5 more
core   +1 more source

A PVT-Type Algorithm for Minimizing a Nonsmooth Convex Function [PDF]

, 2003
2000 Mathematics Subject Classification: 90C25, 68W10, 49M37.A general framework of the (parallel variable transformation) PVT-type algorithm, called the PVT-MYR algorithm, for minimizing a non-smooth convex function is proposed, via the Moreau-Yosida ...
Pang, Li-Ping, Xia, Zun-Quan
core  

A sequential quadratic programming with a dual parametrization approach to nonlinear semi-infinite programming

Dual parametrization, sequential quadratic programming, semi-infinite programming, 90C34, 49M29, 49M37,
M. Gomes, Edite Fernandes, A. Vaz
core   +1 more source

A primal dual modified subgradient algorithm with sharp Lagrangian

Nonsmooth optimization, Nonconvex optimization, Duality scheme, Sharp Lagrangian, Modified subgradient algorithm, 90C26, 49M29, 49M37,
Alfredo Iusem, Regina Burachik, Jefferson Melo   +2 more
core   +1 more source

A multi-local optimization algorithm

Global unconstrained optimization, semi-infinite programming, inexact line search, 49M37, 65G10, 90C34,
Susana Sanmatías, Enriqueta Vercher, Teresa León   +2 more
core   +1 more source

Estimation and optimal control of the multiscale dynamics of Covid-19: a case study from Cameroon. [PDF]

Nonlinear Dyn, 2021
Fotsa-Mbogne DJ, Tchoumi SY, Kouakep-Tchaptchie Y, Kamla VC, Kamgang JC, Houpa-Danga DE, Bowong-Tsakou S, Bekolle D.   +7 more
europepmc   +2 more sources

On new sixth and seventh order iterative methods for solving non-linear equations using homotopy perturbation technique. [PDF]

BMC Res Notes, 2022
Thota S, Shanmugasundaram P.
europepmc   +1 more source