文件名称:Numerical-Analysis-for-Statisticians
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Java常用数值算法集
共有数值计算中常用的Java方法近200个．内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、数据的统计描述、傅里叶变换谱方法、解常微分方程组、两点边值问题的解法和解偏微分方程组．-Java common set numerical algorithm the total numerical calculation commonly used Java method nearly 200. Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, solving random numbers, sorting, eigenvalue problems, data fitting equation Root and nonlinear equations, functions and the extreme optimization, statistical descr iption of the data, Fourier transform spectra, the solution of ordinary differential equations, the Solution reconciliation of two-point boundary value problems for partial differential equations.
共有数值计算中常用的Java方法近200个．内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、数据的统计描述、傅里叶变换谱方法、解常微分方程组、两点边值问题的解法和解偏微分方程组．-Java common set numerical algorithm the total numerical calculation commonly used Java method nearly 200. Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, solving random numbers, sorting, eigenvalue problems, data fitting equation Root and nonlinear equations, functions and the extreme optimization, statistical descr iption of the data, Fourier transform spectra, the solution of ordinary differential equations, the Solution reconciliation of two-point boundary value problems for partial differential equations.
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Java常用数值算法集.rar
Numerical Analysis for Statisticians.pdf