Lecture Note 5 : Differentiation And Integrations
## derivative 미분계수 / 도함수 ## average rate 평균변화율 # 탄젠트 미분하면 시컨트 제곱 # 시컨트 미분하면 시컨트 탄젠트 import numpy as np #numpy에서diff, arange, exp, power불러옴 import matplotlib.pyplot as plt x = np.arange(0, 1, 0.0001) #[0,1)에서 0.0001씩 떨어진 수들 array[0,0.0001,0.0002,...,0.9999]로 반환 g = np.exp(x) f = np.power(g, 2) fder = 2*np.exp(2*x) deltax = np.diff(x) deltag = np.diff(g) deltaf = np.diff(f) for i in range(0, 10, 1..
Lecture4 _ 삼각함수
#1. sin(주기1, 주파수 1), cos(주기2, 주파수 1/2)그래프 그리기 import numpy as npfrom math import piimport matplotlib.pyplot as plt xvals = np.linspace(-pi, pi, num=1000) #-pi와 pi사이에 1000개의 점 찍기 ysin = np.sin(2*pi*1*xvals) ycos = np.cos(2*pi*0.5*xvals) plt.plot(xvals, ysin, '*r')plt.plot(xvals, ycos, 'sg') plt.title('sin:red, cos:green')plt.xlabel('Input')plt.ylabel('Function values') plt.axis([-pi, pi, -1, 1])p..
