Linked Questions

I am interested in solving a sparse complex linear system Ax=b where A is a square matrix of complex numbers and b is vector of complex numbers. If possible I would like such a library to be ...

I am following a course of computational material physics. The professor uses fortran to code and uses lapack to solve eigenvalue problems. So far I just know c++. There is an equivalent library that ...

Is it a good idea to use vector<vector<double>> (using std) to form a matrix class for high performance scientific computing code? If the answer is no. ...

I'm new to computational science and I already have learned basic methods for integration, interpolation, methods like RK4, Numerov etc on c++ but recently my professor asked me to learn how to use ...

Most of my programming is one-off research codes in C for my own use. I have never distributed any code to other than close collaborators. I have developed an algorithm that I am publishing in a ...

This complements an earlier question on usable, fast C++ matrix libraries. I've looked at the Java Matrix Benchmark, and it seems like the performance of java matrix libraries is all over the place. ...

I have download sparselib++, but it seems that it can't be complied in Windows, only in Unix, I don't know. So can anyone recommend some which can be used in Visual Studio 2010? I want to do a large ...

I would like to implement custom, domain-specific algorithms for sparse matrix orderings. I am looking for Python packages for ordering sparse matrices. It would be nice to have: The underlying ...

I am trying to replicate Fortran90 array syntax using a C++ library. The libraries themselves are discussed at length in this question. They can all do something like this: ...

I want to use one of these two libraries into my C++ project to basically invert a dense matrix (with Cholesky). Of course, I am interested in a distributed environment. Both libraries seem nice so ...