In python interactive console type:
Enjoy!
>>> import antigravity
Humans will not always be the most intelligent agents on Earth, the ones steering the future. What will happen to us when we no longer play that role, and how can we prepare for this transition?Machine Intelligence Research Institute has a group working on this idea. On youtube you can find several interesting talks by research fellow of this institute Eliezer Yudkowsky.
-- Standard awesome library
require("awful")
require("beautiful")
import numpy as np
from scitools.numpyutils import meshgrid
h = 0.1
L = H = 1.
x = np.arange(0, L, h)
y = np.arange(0, H, h)
u_analytical = lambda x, y: 2*x + np.exp(y)
u1 = np.zeros( (len(x), len(y) ) )
for i, x_val in enumerate( x ):
for j, y_val in enumerate( y ):
u1[i][j] = u_analytical(x_val, y_val)
(xx, yy) = meshgrid(x, y, sparse=False, indexing='ij')
u1_ = u_analytical(xx, yy)
Each sparse format has certain advantages and disadvantages. For instance, adding new non-zero entries to a lil_matrix is fast, however changing the sparsity pattern of a csr_matrix requires a significant amount of work. On the other hand, operations such as matrix-vector multiplication and matrix-matrix arithmetic are much faster with csr_matrix than lil_matrix. A good strategy is to construct matrices using one format and then convert them to another that is better suited for efficient computation.It is not very hard to choose correct sparse matrix format, especially in numerical computations, where in most cases you know all valuable information about your matrix before computation.
When I ran grub update my ubuntu instalation also found installed arch and created entry for it in grub-config. But later I was able to load from entry created by me, but not from entry created by ubuntu.