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[matlab] deriv DL : 0: This function returns the numerical derivative of an analytic function. Of special note, is the incorporation of the "complex stepderivative"approach which offers greatly improved derivative accuracy compared to approximations. This is especially germain when accuracy at the level of machine precision is a concern. -Programming the finite element toolbox using matlb finite element toolbox, many examples for yourself as there is a very friendly interface, input parameters can be
Update : 2025-02-19 Size : 3kb Publisher : 张文荣
[Other] Fin-Deriv-Inst DL : 0: 金融衍生工具,湖南大学杨招军老师的教案，观点清晰，重点突出。-Financial derivatives, Hunan University, YANG Zhao-jun teacher' s lesson plans, ideas clear and focused.
Update : 2025-02-19 Size : 1.12mb Publisher : hfhf911
[Algorithm] RungKutta DL : 0: 四阶龙格库塔算法。deltaT为积分步长，XX为X_k,X_next为X_k+1，Control以及Param为用户可选参数。微分方程在deriv中定义。-RungeKutta,where deltaT refers to the step size, XX refers to X_k, X_next refers to X_k+1, Control and Param is user defined parameters. The differential equation should be defined in the deriv function.
Update : 2025-02-19 Size : 1kb Publisher : 孙相宜