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Semi-automatic Differentiation (SD) Toolkit is a Matlab implementation
of the complex step derivative (CSD) technique for the differentiation of real-valued functions. The Toolkit consists of three core functions:
sdGrad.m - Returns CSD approx
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RBF神经网络逼近一组三维数据，计算最优权值，-RBF approximation function
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用最小二乘配置计算重力异常，适用于地球重力场研究领域-THE PRIMARY FUNCTION OF THE PROGRAM IS TO COMPUTE AN APPROXIMATION TO
THE ANOMALOUS POTENTIAL OF THE EARTH USING STEPWISE LEAST SQUARES
C COLLOCATION
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神经网络bp程序，可作为任意非线性函数的逼近器-Bp neural network program, as any nonlinear function approximation
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VASP计算POTCAR赝势文件 主要用于分子结构计算模拟(POTCAR of oxygen The projector augmented wave (PAW) potentials was employed and the energy cutoff of 400 eV was used. The generalized gradient approximation (GGA) with the Perdew-Burke-Ernzerhof (PBE) function was adopte
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