lapack

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My goal is to transfer a coordinate in perspective from a known rectangle (for example a 800 by 600 screen) to a quadrangle that is skewed/rotated. To do so i found this, which was extremely helpful: Transforming captured co-ordinates into screen co-ordinates I guess there are more solutions to the problem. 1 by making triangles out of your quadrangle and apply some mathematical function which i could not solve yet. OR using the H-matrix which comes out of the formula A=USVt. which seemed nice because once you have the correct H-matrix you can transfer any coordinate pretty easy as explained

I'm attempting to recode an old C++ program in Fortran to make use of LAPACK (I'm aware that C++ does have LAPACK++, but I'm having a lot of trouble installing it, so I gave up). I originally didn't have any problems with compilation, but that was when I had all variables declared as REAL . When I started coding the section of the program that required LAPACK, I found that all parameters passed to DSYEV need to be DOUBLE PRECISION . So I tried to change everything to double precision (including changing all hard coded numbers to their double precision counterparts, i.e. 0.0 -> 0.0D0) Now when

I would like to find the inverse of a matrix. I know this involves first LU factorisation then the inversion step but I cannot find the required function by searching apple's docs of 10.7! This seems like a useful post Symmetric Matrix Inversion in C using CBLAS/LAPACK , pointing out that the sgetrf_ and sgetri_ functions should be used. However searching these terms I find nothing in Xcode docs. Does anybody have boiler plate code for this matrix operation? Apple does not document the LAPACK code at all, I guess because they just implement the standard interface from netlib.org . It's a shame

When I try to compile example1.cpp that comes with Armadillo 2.4.2, I keep getting the following linking error: /tmp/ccbnLbA0.o: In function `double arma::blas::dot<double>(unsigned int, double const*, double const*)': main.cpp:(.text._ZN4arma4blas3dotIdEET_jPKS2_S4_[double arma::blas::dot<double>(unsigned int, double const*, double const*)]+0x3b): undefined reference to `wrapper_ddot_' /tmp/ccbnLbA0.o: In function `void arma::blas::gemv<double>(char const*, int const*, int const*, double const*, double const*, int const*, double const*, int const*, double const*, double*, int const*)': main

I'm developing a program that needs to do heavy linear algebra calculations. Now I'm using LAPACK/BLAS routines, but I need to exploit my machine (24 core Xeon X5690). I've found projects like pblas and scalapack , but they all seem to focus on distributed computing and on using MPI. I have no cluster available, all computations will be done on a single server and using MPI looks like an overkill. Does anyone have any suggestion on this? As mentioned by @larsmans (with, say, MKL), you still use LAPACK + BLAS interfaces, but you just find a tuned, multithreaded version for your platform. MKL is

I am trying to factorize a matrix with the QR factorization in C++, using Lapack's functions in order to solve a system of linear equations (Ax=b) As far as I understood, dgeqrf computes the QR factorization and overwrites the input matrix. The output clearly contains values for L (upper triangular), but how do I obtain Q? I tried dormqr , which is said to calculate Q from dgeqrf 's output, but the result is the same matrix as in the previous call. Here's my complete code: boost::numeric::ublas::matrix<double> in_A(4, 3); in_A(0, 0) = 1.0; in_A(0, 1) = 2.0; in_A(0, 2) = 3.0; in_A(1, 1) = -3.0;

I'm trying to understand how BLAS and LAPACK in Fortran work and so on, so I made a code that generates a matrix and inverts it. Here's the code program test Implicit none external ZGETRF external ZGETRI integer ::M complex*16,allocatable,dimension(:,:)::A complex*16,allocatable,dimension(:)::WORK integer,allocatable,dimension(:)::IPIV integer i,j,info,error Print*, 'Enter size of the matrix' Read*, M Print*, 'Enter file of the matrix' READ(*,*), A OPEN(UNIT=10,FILE = '(/A/)' ,STATUS='OLD',ACTION='READ') allocate(A(M,M),WORK(M),IPIV(M),stat=error) if (error.ne.0)then print *,"error:not enough