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181. In this paper, the author presents a method of Chebyshev approximate polynomial for analysing nonlinear circuit as well as an example of its computer realization.

182. It is proved that the complexity of the algorithm is the polynomial function of the scale of the system. A practical example is shown lastly.

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

184. In this paper a simplified recursion formula of discretization orthogonal polynomial in the case of uniform step is presented.

185. Propagation error for each gage can be expressed as polynomial of time and the highest power of polynomial ism-1, which mis the number of gages.

186. Understand the degree of polynomial approximation and the effective range with the polynomial fitting order of any changes.

187. In this method, the description is a bivariate interpolation polynomial, ISM method is used to select key input variables, and the structure of original method is Simplified.

188. The multi-element orthogonal polynomial regression is used for traditional optimization technique of parametric optimum design,[http://sentencedict.com/polynomial.html] and the experimental research is done by some experiential formula.

189. Polynomial algorithm and branch and bound algorithms are given for different number of job groups whose processing set contain both machines.

190. After data preprocessing a regression model between calorific and ash content was founded by polynomial regression.

191. Based on the functions, a method of generating piecewise polynomial curves with a shape parameter is given.

192. And the method of the polynomial interpolation for sub-pixel edge measure was also studied elementarily.

193. Finally, based on the theorem, a polynomial 2 - approximation algorithm for the location problem is presented.

194. A mathematical model for sliding window polynomial fitting is proposed.

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

196. A polynomial function supervising PID control method is proposed, which is based on Genetic Algorithms (GAs) for real-time control process.

197. The improvement of the accuracy is obtained by increasing the order of the polynomial interpolation when the shape of the element does not change.

198. We will also find a sort of planar graphs whose number is equal to 4. We will also give the chromatic polynomial of complete -partite graphs and get a combinatory formula.

199. The polynomial approximation method is proposed to obtain initial value of filter, and this approximation method can be used to realize scanning trajectory estimation.

200. In the last the concept of irrelative sets and its application in the computation of polynomial order are given.

201. Enlighened by the superposed algorithm of two element polynomial interpolation, we present a simple method of finding rational interpolation functions.

202. The polynomial fit smooth sample (PFSS) method is given in this paper. The PFSS synchronizes tape reading, smoothing and sampling.

203. Distributed loadis regarded as polynomial function or uniformly distributed moment alh ng the edge.

204. The fact that it is impossible to find the global optimum in polynomial complexity has been proved.

205. Methods It is discussed by nonparametric piecewise polynomial estimation and least squares estimation.

206. However, due to the complex of computation and the need of the design, sometime we need to use polynomial approximation for a rational curves and surfaces.