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[Applications] sdToolkit DL : 0: 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 approximation of the gradient (g) of the scalar-valued target function fun(p,Extra), according to Equation 3 of the paper. sdJac.m - Returns CSD approximation of the Jacobian (J) of the scalar-valued target function fun(p,Extra), according to Equation 3 of the paper. sdHg.m - Rerurns CSD approximation of the Hessian (H) of the scalar-valued target function fun(p,Extra), according to Equation 7 of the paper. It also returns the centered-difference CSD approximation of the gradient as a by-product. For a brief describtion of the functions in the toolkit, type ,help sdToolkit> at Matlab command prompt.-The sdToolkit demonstrates the complex step derivative method on a variety of functions and geophysically oriented examples
Date : 2025-12-16 Size : 28kb User : 蒋礼
[Applications] Fixpid!1.2.40 DL : 0: This a Scaling function definition Image cutoff ratio for H = 3 -This is a Scaling function definition Image cutoff ratio for H = 3
Date : 2025-12-16 Size : 628kb User : sangwoo
[Applications] Pivot Points DL : 0: MT4轴心点指标(pivot point)是欧美交易员使用的重要分析工具，也叫价格轴线（pivot lines ），美国某机构曾经跟踪统计了7 年的相关数据，最后通过大量统计数据得出了一个结论：在75% 或以上的时间里，当天的价格会回归到PIVOT 主轴线；专业交易员都非常重视这样的研究成果，PIVOT 数据是他们交易的重要依据，它是用来分析重要价格区域的工具。在没有重要新闻的日子里，外汇交易价格70-80% 的时间是在pivot 上下的R1 到S1 之间波动的，所以轴心点指标 pivot point成了重要的寻找支撑阻力的工具。计算公式如下：H high=最高价 L low=最低价 C close=收盘价 Pivot = (H+L+C)/3 S1 = 2P-H S2 = P-H+L S3 = L+2P-2H R1 = 2P-L R2 = P+H-L R3 = H+2P-2L(pivot pointpivot lines)
Date : 2025-12-16 Size : 8kb User : LPL官方解说