Bluebit Software | Bluebit .NET Matrix Library | Matrix ActiveX Components

Bluebit Software | Bluebit .NET Matrix Library | Matrix ActiveX Components

Bluebit Software was founded in 2002, primarily to provide marketing and technical support for its flagship product, the Matrix ActiveX Component.

.NET Matrix Library 32-bit/64-bit bundle (Developer License)

.NET Matrix Library 32-bit/64-bit bundle (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

.NET Matrix Library 32-bit/64-bit bundle (Developer License) | Bluebit Software

.NET Matrix Library 32-bit/64-bit bundle (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 32-bit (Developer License)

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 32-bit (Single Machine License)

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software

Bluebit .NET Matrix Library 32-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 64-bit (Developer License)

Bluebit .NET Matrix Library 64-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 64-bit (Developer License) | Bluebit Software

Bluebit .NET Matrix Library 64-bit (Developer License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 64-bit (Single Machine License)

Bluebit .NET Matrix Library 64-bit (Single Machine License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Bluebit .NET Matrix Library 64-bit (Single Machine License) | Bluebit Software

Bluebit .NET Matrix Library 64-bit (Single Machine License) | Bluebit Software – The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. The Bluebit .NET Matrix Library 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. The above functionality is present for both real and complex matrices. Two analogous sets of classes are provided for real and complex matrices, vectors and factorizations. While exposing an easy to use and powerful interface, the Bluebit .NET Matrix Library does not sacrifice any performance. Highly optimized BLAS and the standard LAPACK routines are used internally providing fast execution and accurate calculations. The whole project has been developed as a mixed mode C++ project, combining together managed and unmanaged code and delivering the best of both worlds; the speed of native C++ code and the feature-rich and the easy to use environment of the .NET Framework.

Matrix ActiveX Component 3.1 Advanced

Matrix ActiveX Component 3.1 Advanced | Bluebit Software – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!

Matrix ActiveX Component 3.1 Advanced | Bluebit Software

Matrix ActiveX Component 3.1 Advanced | Bluebit Software – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!

Matrix ActiveX Component 3.1 Advanced II

Matrix ActiveX Component 3.1 Advanced II | Bluebit Software – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!

Matrix ActiveX Component 3.1 Advanced II | Bluebit Software

Matrix ActiveX Component 3.1 Advanced II | Bluebit Software – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!

Matrix ActiveX Component 3.1 Standard

Matrix ActiveX Component 3.1 Standard – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!

Matrix ActiveX Component 3.1 Standard | Bluebit Software

Matrix ActiveX Component 3.1 Standard – The Matrix ActiveX Component (MaXC) is a robust and scaleable tool that can simplify the use of matrix operations for mathematical computations in application development. Implementing even a simple matrix math operation in your application requires that a matrix algorithm be developed, coded and extensively tested to ensure that it behaves properly under all circumstances. MaXC does this for you. By delivering all the speed, numerical stability, robustness and scalability one could ask for, MaXC significantly reduces development time and allows you to focus your time and effort on delivering to the actual goals of your application. MaXC uses an object-oriented approach to matrix mathematical computation and provides you with the Matrix and CMatrix Classes containing all the Properties and Methods that you’ll need to deploy your numerical exploration. High-performance matrix calculation is no longer limited to mainframe computers running Fortran libraries. MaXC brings these functions to your desktop application, no matter how complex your needs! Whether you are developing a statistical package, seeking fast 3D graphics transformations, or looking to solve simultaneous equations, multivariate linear regressions, or Eigenvalues and Eigenvectors problems, MaXC can do all of this and more!