In this paper,we will giev a class of new algorithms with inexact line search for nonlinear programming problems with linear constaints by combining the generalized projection method with non-quasi-Newton method.

In this paper,we will give a class of new algorithms for nonlinear programming problems with linear constaints by combining the gradient projection with non-quasi-Newton method.

Some sufficient conditions for the global convergence of a class of non-quasi-Newton methods;

In this paper, a class of Goldstein-type inexact line searching procedures are introduced, which are combined with non-quasi-Newton methods.

Predictive control based on neural networks using quasi-Newton method;

The program uses the Quasi-Newton method to perform digital equilibrium computation.

This article uses Quasi-Newton method based on Broyden s principle to obtain Jacobin matrix,this method can calculate Jacobin matrix direc.

New approaches of reconstruction algorithm in low frequency current field are proposed, which includes Quasi-Newton, Bulirsch-Stoer extrapolation and local area accelerating convergence meth-ods.

A multi-class classification algorithm using quasi-Newton is proposed based on DFP-P.

Quasi-Newton Iteration Algorithm for ICA and Its Application in VEP Feature Extraction;

In this paper, we study the application of a kind of nonmonotone line search s technique in quasi-Newton methods and conjugate gradient method.

This paper presents a new class of quasi-Newton methods for solving unconstrained minimization problems.

The conjugate gradient method and quasi-Newton method are two important methods for sovling nonlinear optimization problems.