"""Return a curried version of the given two-argument function.""" def g(x): def h(y): return f(x, y) return h return g >>> def uncurry2(g): """Return a two-argument version of the given curried function.""" def f(x, y): return g(x)(y) return f >>> pow_curried ...
for (int i = 0; i < 10000; i++) { Assert.assertEquals(2.166795861438391, squareRoots.TSqrt(), 0.000001); } } @Test public void testFastInverseSquareRoot() { for (int i = 0; i < 10000; i++) { Assert.assertEquals(2.1667948388864198, squareRoots.FastInverseSquareRoot(), 0.000001); }...
from numpy.linalg import inv, qr 线性代数 diag Return the diagonal (or off-diagonal非对角) elements of a square matrix as a 1D array, or convert a 1D array into a square matrix with zeros on the off-diagonal dot Matrix multiplication trace 这是迹Compute the sum of the diagonal elements ...
importnumpyasnp x = np.array([1,2])# Let numpy choose the datatypeprint(x.dtype)# Prints "int64"x = np.array([1.0,2.0])# Let numpy choose the datatypeprint(x.dtype)# Prints "float64"x = np.array([1,2], dtype=np.int64)# Force a particular datatypeprint(x.dtype)# Prints "...
这个过程(Square-Root Diffusion)由Cox-Ingersoll和Ross(1985)提出,用于对随机短期利率进行建模。其随机微分方程可以表示为: CIR模型认为,利率围绕一个长期均值波动率波动,如果利率偏离了平均值,它总是要回到平均值的。利率回到平均值的时间由模型中的调整速度描述。参数相关解释: ...
Incorrectfunction-square rootwithincorrect factor defsquare_root(x):returnmath.sqrt(x)*2# Testing the functionsprint("2 + 3 =",add(2,3))print("5 - 2 =",subtract(5,2))print("4 * 3 =",multiply(4,3))print("6 / 3 =",divide(6,3))print("Square root of 16 =",square_root(...
import numpy def if_eq(a, b): if abs(a-b) < Decimal('1e-50'): return True else: return False def arctan(x) : # value returned is in radians. if x > 1 : # abs() function is valid for Decimal objects. return pi()/2 - arctan(1/x) elif x == 1: return pi()/4 eli...
1、Numpy NumPy(Numerical Python)是Python的一个扩展程序库,支持大量的维度数组与矩阵运算,此外也针对数组运算提供大量的数学函数库,Numpy底层使用C语言编写,数组中直接存储对象,而不是存储对象指针,所以其运算效率远高于纯Python代码。我们可以在示例中对比下纯Pytho...
import numpyasnp # 生成正弦函数的数据 x= np.linspace(0,2* math.pi,100) # 在0到2π之间生成100个点 y=np.sin(x) # 绘制正弦函数图形 plt.plot(x, y, label='sin(x)') plt.title('Sin Function') plt.xlabel('x') plt.ylabel('sin(x)') ...
Let me first explain the function np.meshgrid, which is used to quickly generate a grid point coordinate matrix. First look at a piece of code for coordinate points: import numpy as np import matplotlib.pyplot as plt x = np.array([[0, 1, 2], [0, 1, 2]]) ...