文件名称:demo_TNNL
介绍说明－－下载内容均来自于网络，请自行研究使用
This code implements an unconstrained optimization algorithm based on a non-monotone truncated Newton Method.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction the step size along the search direction is computed using a nonmonotone generalization of the Armijo s line search method. This algorithm is a detailed implementation of the work presented in A Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization , L. Grippo, F. Lampariello, AND S. Lucidi.
For more information on Non-Monotone Line search algorithms visit my home page at http://www.marioantonelli.it/.-This code implements an unconstrained optimization algorithm based on a non-monotone truncated Newton Method.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction the step size along the search direction is computed using a nonmonotone generalization of the Armijo s line search method. This algorithm is a detailed implementation of the work presented in A Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization , L. Grippo, F. Lampariello, AND S. Lucidi.
For more information on Non-Monotone Line search algorithms visit my home page at http://www.marioantonelli.it/.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction the step size along the search direction is computed using a nonmonotone generalization of the Armijo s line search method. This algorithm is a detailed implementation of the work presented in A Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization , L. Grippo, F. Lampariello, AND S. Lucidi.
For more information on Non-Monotone Line search algorithms visit my home page at http://www.marioantonelli.it/.-This code implements an unconstrained optimization algorithm based on a non-monotone truncated Newton Method.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction the step size along the search direction is computed using a nonmonotone generalization of the Armijo s line search method. This algorithm is a detailed implementation of the work presented in A Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization , L. Grippo, F. Lampariello, AND S. Lucidi.
For more information on Non-Monotone Line search algorithms visit my home page at http://www.marioantonelli.it/.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
demo_TNNL\main.m
.........\myfun.m
.........\rosen.m
.........\TNNL.m
.........\TNNL.p
.........\wood.m
license.txt