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Numerical-Analysis

于 2011-04-27 发布文件大小:34KB

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数值分析： lagrange插值与三次样条插值 simpson复化积分和两点高斯复化积分四阶龙格—库塔解微分方程牛顿下山法求解方程的根列主元消去法求解线性方程组的根 (Numerical Analysis: lagrange interpolation and cubic spline interpolation simpson recovery of complex points and two points of the Gaussian integral Runge- Kutta Solutions of Newton descent method for solving differential equations root out the main element elimination method for solving linear equations root)

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说明：近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，选择的训练集要具有较好的代表性。目前．样本的选择方法主要包括random sampling(RS)，Kennard—Stone(KS)．sample set partitioning based on joint x-y distance(SPXY)等方法。(selecting a representative subset in NIR data using SPXY， the random sampling，and Kennard—Stone methods )

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Numerical-Analysis

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