Does anyone know what function/method to use in Accelerate (CLAPACK) to solve an augmented matrix such as the one below? Looking for any sample code, links to samples, hints on how to solve the matrix
Is it possible to solve a non-square under/over constrained matrix using Accelerate/LAPACK? Such as the following two matrices. If any variables are under constrained they should equal 0 instead of be
I\'m working on a program that uses the Accelerate framework (for LAPACK) and I have several issues.The code is written in C but needs to include C++ headers.I renamed the file to .cpp but it caused t
I have a program that runs through R but uses the BLAS routines. It runs through correctly ab开发者_StackOverflowout 8 times but then throws an error:
Background: I am working on a project written in a mix of C and Fortran 77 and now need to link the LAPACK/BLAS libraries to the project (all in a Linux environment). The LAPACK in question is version
I want build levmar-2.5 math library on a mac using the included Makefile.It requires LAPACK, another math library which is included in the Accelerate Framework.I do not know how to modify
Can anyone help me with example on using lapack with latest f#? Or it is not recommended for now? I searched and only find http://fdatamining.blogspot.com/ 开发者_运维问答but was not able to get FSh
I am looking for a good (in the best case actively maintained) C++ matrix library. Thereby it should be templated, because I want to use a complex of rationals as numerical type. The matrices what I a
I am trying to solve a simple linear equations system using LAPACK. I use dbsvg method which is optimised for banded matrices. I\'ve obsereved a realy strange behaviour. When I fill the AT matrix this
From my understanding, a decompositio开发者_如何学运维n/factorization (LU, QR, Cholesky, etc.) is required, followed by matrix inverse calculation based on the factorization. Are there any other ways
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