Also,an integrated line search of filter method,with the advantages of normal l.

An improving strategy is proposed in this paper,which combines a partial backtracking procedure with the scheme of filtered beam search.

It was proved by example that the traditional shifting bottleneck cannot obtain a local optimal solutions in solving bottleneck machine,a new model of bottlenecks was presented and it was solved by Filtered beam search-the improving algorithm of branch and bound method in the comprehensive consideration of time and accuracy.

To cope with this problem, a new search filter is developed which builds a lookup tab with the character of keyword in compare process.

In order to reduce the computational complexity of the fast motion estimation and improve the accuracy of motion compensation, a new block-matching algorithm called line-square search (LSS) algorithm was proposed, in which the strategy of the line search was introduced.

By combiming a derivativefree line search with the projected heasian SQP methods,a quasiNewton method for solving equality constrained optimization problems was proposed.

A line search technique for nonlinear equations which is a modification of the so called "derivative free line search"given by Griewank (1986) is proposed.

A Fast Motion Estimation Algorithm Based on Linear Search;

A penalty-free-type two-step linear search algorithm

The local search ability of linear search can speed up the rate of convergence.