The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.

eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.

eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.

eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.

eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems. Also provided are the associated matrix factorizations such as Eigen, LQ, LU, Cholesky, QR, SVD. Both real and complex matrices are supported.

eigenvectors, math, decomposition, eigenvalue, matrix, eigenvalues, cholesky, vector, eigenvector

linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and polar format. The vectorized implementation in Assembler makes OptiVec functions, on the average, 2-3 times faster than compiled source code of the same functionality. In many instances, the numerical

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