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Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x - 0,)? + 0,, where 0, = 25, 0, = 20 Log function, y = - log(x) and y = - log(1 – x), Sigmoid function, y = 1/(1 + e*) %3D %3D %3D

Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x - 0,)? + 0,, where 0, = 25, 0, = 20 Log function, y = - log(x) and y = - log(1 – x), Sigmoid function, y = 1/(1 + e*) %3D %3D %3D

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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In python, the library matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. In matplotlib.pyplot various states are preserved across function calls, so that it keeps track of things like the current figure and plotting area, and the plotting functions are directed to the current axes (please note that "axes" here and in most places in the documentation refers to the axespart of a figure and not the strict mathematical term for more than one axis). Sample Codes: import numpy as np import matplotlib.pvplot as plt ax = plt.subplot(111) t = np.arange(0.0, 5.0, 0.01) S = np.cos(2*np.pi*t) line, = plt.elot(t, s, lw=2) plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5), arrowprops=dict(facecolor='black', shrink=0.05), plt.vlim(-2,2) plt.show() Outputs: h (US) 20 F3 000 D00 F4 F7 F8 F9 & 3 5 6 7 8
Transcribed Image Text:In python, the library matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. In matplotlib.pyplot various states are preserved across function calls, so that it keeps track of things like the current figure and plotting area, and the plotting functions are directed to the current axes (please note that "axes" here and in most places in the documentation refers to the axespart of a figure and not the strict mathematical term for more than one axis). Sample Codes: import numpy as np import matplotlib.pvplot as plt ax = plt.subplot(111) t = np.arange(0.0, 5.0, 0.01) S = np.cos(2*np.pi*t) line, = plt.elot(t, s, lw=2) plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5), arrowprops=dict(facecolor='black', shrink=0.05), plt.vlim(-2,2) plt.show() Outputs: h (US) 20 F3 000 D00 F4 F7 F8 F9 & 3 5 6 7 8
2.0 1.5 local max 1.0- 0.5 0.0 --0.5 -1.0 -1.5 -2.0 1 3 Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x – 0,)² + 00, where 0, = 25, 0, = 20 Log function, y = – log(x) and y = – log(1 – x), Sigmoid function, y = 1/(1+ e-*) 7. W
Transcribed Image Text:2.0 1.5 local max 1.0- 0.5 0.0 --0.5 -1.0 -1.5 -2.0 1 3 Please select a proper range for the variable x, and visualize the following functions: Straight line y = 0, + 0,x where 0, = 30, 0, = 0.5 Quadratic function: y = (x – 0,)² + 00, where 0, = 25, 0, = 20 Log function, y = – log(x) and y = – log(1 – x), Sigmoid function, y = 1/(1+ e-*) 7. W
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