This paper presents a method for getting initial basic feasible solution of linear programming problem with an artificial variable,comparing with a traditional two-stage way,it has low computation amount and needs less memory cells for computing,and improve two-stage way simple method.

This paper presents a method for seeking initial basic feasible solution of linear programming problem without using artificial variable,comparing with traditional two-stage way,it has low computation amount and needs less memory cells for computing,so it is an improved two-stage way of the first period question.

When it comes to the complicated linear programming,the first feasible base and its corresponding simple tableau can be found with the help of artificial variables and the construction of auxiliary problems related to the original ones.

A high efficient and artificial-free general-purpose algorithm is developed,The new algorithm is more efficient than the newly developed artificial-free algorithm,push-to-pull algorithm for linear programming.

Application and prospect of artificial mutation technology in medicinal plant breeding;

It elaborates that artificial mutation connected with crossbreeding,gene transfer and in vitro selection could raise the breeding efficiency and enlarge the field of breeding for disease resistant.

The paper studies the change of tideland after the century inning by method of"artificial transformation"forecast and moveable bed model based on the analysis of the bed evolution data.