学习自：[url=https://www.geogebra.org/u/xiaojianwei]肖建伟[/url] 的 折线匀速动点工具，https://www.geogebra.org/m/zqmzqgqf[br][br]

https://tieba.baidu.com/p/6844180331[br][br]因此，要实现点在折线上的匀速运动，肯定就不能直接用滑动条a值了，但各点路径值是可以确定的，且每个点到起始点的路径长度是可以计算的，这样就可以建立关键点（顶点）路径值和路径长度的关系，我们用下边方法获取每个点到起始点路径长度：[br]l3 = 合并({{0}, 序列(总和(最前元素(l2, i)) / 总和(l2), i, 1, 长度(l2))})[br]因为要把起始点计算进来，因此我们把它合并在计算表中[br]各点路径值：[br]l4 = 序列(i / 长度(l2), i, 0, 长度(l2))[br]这里用到一个命令“数据函数”，建立长度、路径关系：[br]g(x)=数据函数(l3,l4)[br]最后，我们定义A点为匀速运动点：[br]A = 描点(l2, g(a))[br]完整代码如下：[br][img]https://tiebapic.baidu.com/forum/pic/item/08778f12c8fcc3ce156ca5668545d688d53f209a.jpg?tbpicau=2023-04-06-05_a8625131f1d3d285c9e4c30728625de3[/img]

肖建伟作品代码：[br]l1={(0,0),(1,0),(3,1),(5,3)}[br]f=折线(l1)[br]l2=序列(abs(l1(k+1)-l1(k)),k,1,长度(l1)-1)[br]v=3.6[br]l3=追加(0,序列(((总和(l2,k))/(v)),k,1,长度(l2)))[br]t=1.087[br]a=条件计数(t≥p,p,l3)[br]A=如果(a<长度(l1),l1(a)+v (t-l3(a)) 单位向量(l1(a+1)-l1(a)),l1(a))[br][br][br][img]data:image/png;base64,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[/img]