Using vectorization to replace for-loops may increase Matlab programs\' speed significantly. Is it because the vectorized codes are runned in parallel?
I\'m trying to use the ublas part of Boost but I\'m not able to multiply matrices and assign the result to other matrices for some reason.
In boost::numeric::ublas, there are three sparse vector types. I can see that 开发者_C百科the mapped_vector is essentially an stl::map from index to value, which considers all not-found values to be
I am seeking advice on design/general idea on how to force matrix dimension constraints on ublas matrix/vecto开发者_Go百科r possibly using boost units.
Erm. I hope I am seriously overlooking something. I want to rotate a 2d vector (kartesian) v by a certain angle phi.
How can I define a array of boost matrices as a member variable? None of the following worked. boost::numeric::ublas::matrix<double> arrayM(1, 3)[arraySize];
I have searched the web but could not find an answer. how do I have set base index in the matrix, such that indexes start from values other than zero? for example:
I am trying to implement certain matrix operations but I am lost in the internals of ublas library. is there a resource such as tutorial 开发者_如何转开发or an example on how to implement new ublas ma
Now, seriously... I\'ll refrain from using bad words here because we\'re talking about the Boost fellows. It MUST be my mistake to see things this way, but I can\'t understand why, so I\'ll ask it her
I have the following sparse matrix that contains O(N) elements boost::numeric::ublas::compressed_matrix<int> adjacency (N, N);
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