Add to ORKGAn acceleration technique for a conjugate direction algorithm for nonlinear regressio
Abstract In this paper assessment of acceleration schemes in the solution of systems of linear equat...
An iterative method is described for the minimization of a continuously differentiable function F(x)...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...
summary:Modifications of nonlinear conjugate gradient method are described and tested
Linear and nonlinear methods for regression and classification and applications in
The field of nonlinear programming has witnessed a tremendous growth in the last several years. Howe...
International audienceWe describe a convergence acceleration scheme for multistep optimization algor...
Combining the three-term conjugate gradient method of Yuan and Zhang and the acceleration step lengt...
AbstractNew accelerated nonlinear conjugate gradient algorithms which are mainly modifications of Da...
It is well known that the nonlinear conjugate gradient algorithm is one of the effective algorithms ...
summary:A nongradient method of conjugate directions for minimization id described. The method has t...
The traditional development of conjugate gradient (CG) methods emphasizes notions of conjugacy and t...
This paper examines a number of extrapolation and acceleration methods and introduces a few modifica...
It is pointed out that the so called momentum method, much used in the neural network literature as ...
This thesis presents a unified treatment of the concept of conjugate directions and in particular of...
Abstract In this paper assessment of acceleration schemes in the solution of systems of linear equat...
An iterative method is described for the minimization of a continuously differentiable function F(x)...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...
summary:Modifications of nonlinear conjugate gradient method are described and tested
Linear and nonlinear methods for regression and classification and applications in
The field of nonlinear programming has witnessed a tremendous growth in the last several years. Howe...
International audienceWe describe a convergence acceleration scheme for multistep optimization algor...
Combining the three-term conjugate gradient method of Yuan and Zhang and the acceleration step lengt...
AbstractNew accelerated nonlinear conjugate gradient algorithms which are mainly modifications of Da...
It is well known that the nonlinear conjugate gradient algorithm is one of the effective algorithms ...
summary:A nongradient method of conjugate directions for minimization id described. The method has t...
The traditional development of conjugate gradient (CG) methods emphasizes notions of conjugacy and t...
This paper examines a number of extrapolation and acceleration methods and introduces a few modifica...
It is pointed out that the so called momentum method, much used in the neural network literature as ...
This thesis presents a unified treatment of the concept of conjugate directions and in particular of...
Abstract In this paper assessment of acceleration schemes in the solution of systems of linear equat...
An iterative method is described for the minimization of a continuously differentiable function F(x)...
The work covers the statistical experiments generated by the non-linear regression models. The iam i...