Search - set of complex number

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[Delphi VCL] caisuzi1 DL : 0: 单击“产生数字”或“开始新游戏”后软件将随机产生一个无重复的4位数，使用者在对应输入框内输入猜测的一组无重复4位数，单击“确认数字后”软件就会根据这个数字给出几A几B，其中A 前面的数字表示位置正确的数的个数，而B前的数字表示数字正确而位置不对的数的个数。如：正确答案为 5234，而猜的人猜 5346，则是 1A2B，其中有一个5的位置对了，记为1A ，而3和4这两个数字对了，而位置没对，因此记为 2B，合起来就是 1A2B。接着猜的人再根据出题者的几A几B继续猜，直到猜中（即 4A0B）为止。注意事项:请在5 分钟之内完成,且输入次数不得超过50 次不然算失败本产品纯属智利游戏,仅供娱乐-Click the "generation number " or "start a new tour Play "after the software will randomly generate a non-re- Complex 4-digit, the user input box in the corresponding Enter a group of non-repetition guess 4-digit , Click "confirm figures, " the software will root According to this figure shows a few A few B, where A The numbers indicate the correct position in front of the number of The number of digits before the number of B is The number of correct and incorrect number of locations. Such as: The correct answer is 5234, and Guess who guess 5346, it is 1A2B, its There is a 5 position of a, denoted 1A , While 3 and 4 of these two figures, while the bit Did not set right, so remember to 2B, together Is 1A2B. Then, according to people who guess A few questions were a few B keep guessing until Guess (that is, 4A0B) so far. Note: Please be completed within 5 minutes, and Enter no more than 50 times or else Operator failure This product is pure
Date : 2025-12-29 Size : 384kb User : 夏寂然
[Delphi VCL] Least-squares-Curve-Fit-unit DL : 0: 最小二乘是由方程式近似的数据点的一组的方式，让你预测中间值，或计算的数据的一些措施。您可能已经通过绘制通过数目的数据点图上绘制的直线近似的趋势线。最小二乘这不只是“装修”，但在数学的方式，最大限度地减少错误，从而导致。我的单元延伸最小二乘从仅仅是一种直线拟合到高阶多项式为更复杂的数据（其中可能有一平方律拟合的物理原因，例如），或更好的匹配的数据。-Least-squares is a way of approximating a set of data points by an equation, allowing you to predict intermediate values or calculate some measure of the data. You may have approximated a trend-line by drawing a straight line through a number of data points plotted on a graph. Least-squares does just this "fitting" but in a mathematical way that minimises the errors that result. My unit extends least-squares from just a straight-line fit into higher order polynomials for more complex data (where there may be a physical reason for a square-law fit, for example) or for a better match to the data.
Date : 2025-12-29 Size : 217kb User : liu