... numbers for all functions. - Rich set of matrix and vector functions and operators. - Solver for banded sparse matrices, Iterative sparse solvers, Direct sparse solver for non-symmetric matrices. Conversions support Banded, Dense, Sparse and Triplets matrix formats - 23 probability distributions (PDF, CDF and ... FFT's, correlations and autocorrelations. - arbitrary functions of matrix including square root of matrix and logarithm of ...

... as those used by tools like Matlab or Matrix-X/Xmath. However, as Rlab focuses on creating a good experimental environment (or laboratory) in which to do matrix math, it can be called ``Matlab-like''; since the ... The fundamental data type is a floating point matrix (either real or complex), though RLaB also includes ...

... as those used by tools like Matlab or Matrix-X/Xmath. However, as Rlab focuses on creating a good experimental environment (or laboratory) in which to do matrix math, it can be called ``Matlab-like''; since the ... The fundamental data type is a floating point matrix (either real or complex), though RLaB also includes ...

... of the library consists of generic vector and matrix classes, and a set of accompanying routines. Such ... Basic mathematical features * templated vector and matrix classes * sparse vector and matrix classes * elementary functions on vectors and matrices * matrix decompositions such as eigenvalue, Cholesky, LU, Schur, SVD, ... * binary and Galois types (scalar, vector and matrix) * integration of 1-dimensional functions * unconditional nonlinear ...

... complex, or interval numbers, · flexible and rich matrix language, · intelligent operator expansion for matrices and vectors, · matrix product, powers, inverse etc., · support for large, sparse matrices, · strings and vectors of strings, · ... solutions of linear systems, · data type for sparse matrices, Programming Language: · programming language in ...

... method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs by implementing the state-of-art algorithm to order the constraints matrix. The user can specify the linear program using a set of exported DLL functions. Also GIPALS32 provides an import of linear programs from Mathematical ...

... method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs by implementing the state-of-art algorithm to order the constraints matrix. The user can specify the linear program constraints ... dense form using the grids or in a sparse form using the particular constraints editor. The dense ... from/to MS Excel spreadsheets by Windows clipboard. The sparse form is designed to specify / view / ...

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in ... singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, ... to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized ... fast execution and accurate calculations. The Bluebit .NET Matrix Library has been developed as a mixed mode ...

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in ... singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, ... to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized ... fast execution and accurate calculations. The Bluebit .NET Matrix Library has been developed as a mixed mode ...