1. The constant of polynomial equation was a good variable for classification with its precision average of 73.45%.

2. The three-dimension curved surface and the corresponding two-order polynomial equation were obtained through the simulation and regression analysis of numerical results by MATLAB and SPSS software.

3. The parameters of polynomial equation for fitting the experimental results are also reported.

4. Firstly, the parameters are estimated by using the recursive least_square method, then the control law is presented by solving a polynomial equation.

5. Lastly, under the optimum condition the experiment results and those from the equation were fitted well, so it indicated that the second order polynomial equation was feasible.

6. The formulas that used in the iterative procedure are build by means of the distribution of the roots of polynomial equation on the plane, and therefore the generating images are designed in advance.

7. An analytical expression for determining of singularity configuration which is a polynomial equation is set, and the numeric symbolic manipulating technique is introduced.sentence dictionary

8. In the programming for finding the eigenvalues of the companion matrix of the characteristic polynomial equation, a new balancing transformation technique is developed.

9. Aiming at solving real roots of unitary real coefficients polynomial equation, a practical numeric solution is put forward .

10. An analytical expression for determining singularity configuration which is a polynomial equation is set, and the numeric symbolic manipulating technique is introduced in the paper.

11. This approach can guarantee that the identified parameters are optimal, by solving a one-dimensional polynomial equation instead of a nonlinear least square problem.

12. The pressure can be fitted to time by cube polynomial equation.

13. The separated theorem is proved for constructing the functions and polynomial equation, the error formula for the construction function is also obtained.