学习心得今日学习时间2hmportrandomimportmath#定义函数用于判断一个点(x,y)是否在单位圆内defis_inside_circle(x,y):#计算点到原点的距离平方distance_squared=x**2+y**2#判断距离是否小于1（单位圆半径为1）returndistance_squared<=1#获取用户输入的掷飞镖次数

学习心得今日学习时间2hmportrandomimportmath#定义函数用于判断一个点(x,y)是否在单位圆内defis_inside_circle(x,y):#计算点到原点的距离平方distance_squared=x**2+y**2#判断距离是否小于1（单位圆半径为1）returndistance_squared<=1#获取用户输入的掷飞镖次数

%matplotlibinlineSearchinginDARTSsearchspaceInthistutorial,wedemonstratehowtosearchinthefamousmodelspaceproposedinDARTS_.Throughthisprocess,youwilllearn:Howtousethebuilt-inmodelspacesfromNNI'smodelspacehub.H

 描述用python计算圆周率PI‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‮‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‭‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‭‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‪‬‬‪‬

fromrandomimportrandomfrommathimportsqrtfromtimeimportperf_counterimporttime#进度条print("2022310143117")foriinrange(1,101):print("\r",end="")print("进度:{}%:".format(i),"▓"*(i//

fromrandomimportrandomfrommathimportsqrtfromtimeimportperf_counterDARTS=9999999hits=0.0perf_counter()foriinrange(1,DARTS+1):x,y=random(),random()dist=sqrt(x**2+y**2)ifdist<=1.0:hits+=1pi=4*(hits/DAR

一、计算圆周率pi的方法（一）公式法pi=0N=eval(input())forkinrange(N):pi+=1/pow(16,k)*(4/(8*k+1)-2/(8*k+4)-1/(8*k+5)-1/(8*k+6))print(pi)（二）蒙特卡罗方法#e.6.1(p115)fromrandomimportrandomfrommathimportsqrtfromtimeimportperf_counterDARTS=100000

fromrandomimportrandomfrommathimportsqrtimporttimeDARTS=10**7hits=0.0a=1start=time.perf_counter()foriinrange(1,DARTS+1):x,y=random(),random()dist=sqrt(x**2+y**2)ifdist<=1.0:hits=hits+1ifi==DARTS*0.01*a:print

利用蒙特卡罗方法求解π的值 fromrandomimportrandomfrommathimportsqrtfromtimeimportperf_counterprint("3107")DARTS=100000000hits=0.0n=1perf_counter()foriinrange(1,DARTS+1):x,y=random(),random()dist=sqrt(x**2+y**

fromrandomimportrandomfrommathimportsqrtimporttimeDARTS=10**7hits=0.0a=1start=time.perf_counter()foriinrange(1,DARTS+1):x,y=random(),random()dist=sqrt(x**2+y**2)ifdist<=1.0:hits=hits+1ifi==DARTS*