This is my little angel.
She is born in November 2013.
Hibernation is a must-have feature in a laptop. I can work on my programming, then hibernate the machine in 30 seconds, take a nap and resume the machine to the state before it hibernates in 30 seconds and continue my work — I can just continue my work from I stop seamlessly. However, the hibernation function seems to be missing in Linux Mint Maya (KDE) in my Dell Vostro 3450. The followings are the patches to overcome this issue.
The patches include:
1. Prepare the scripts to hibernate.
2. Make an hibernation icon in the start menu.
3. Solve the noisy fan issue (due to the hybrid card) after resume from hibernation.
After watching the movie “The Internship” starred by Vince Vaughn and Owen Wilson, I decided to submit my PhD internship application to Google. An influential movie, I guess. 🙂
Of cause, it is a one in a million chance. At least, I try.
I own a very old fashion scientific calculator and it can’t solve any simultaneous equations like those new calculators (not even 2×2!). The situation goes worst when I try to do my Circuit Theory tutorial, in which I need to solve many simultaneous equations. Can’t I just concentrate on forming the equations and let someone to solve them for me?
Well! Let the Python do it!
All you have to do is forming the proper equations. Then, fire up the following script. Key in the proper coefficients of each equation when Python asks.
Please feel free to copy and use it anywhere you like.
#!/bin/python import numpy as np print 'How many variables ?' print '>> ', total_variable = int(raw_input()) # User key in all the variable numbers equation_list =  for i in range(total_variable): print print 'Please enter the coefficients of the #%d equation.' % (i+1) print 'For example: (1)*x0 + (2)*x1 = (3) ---> "1 2 3"' print '>> ', user_input = raw_input() user_token_str = user_input.split() assert (len(user_token_str)== (total_variable +1)) user_token = [float(u) for u in user_token_str] equation_list.append(user_token) print equation_arr = np.array(equation_list) # # A * X = Y # Given A and Y, we need to find X. # Y_arr = equation_arr[:, -1:] A_arr = equation_arr[:, :-1] print 'Y_arr:' , Y_arr print 'A_arr:' , A_arr X_arr = np.linalg.solve(A_arr, Y_arr) print 'Answer:' for i, x in enumerate (X_arr): print 'x%d value: %f' % (i, x)
Paper accepted in IEICE.