SuggestSoft.com
Eigenvalue
|
Matrix ActiveX Component 3.1
|
The Matrix ActiveX Component simplifies the use of matrix operations in application development. It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, computation of determinant, LU and Cholesky decompositions. Advanced edition additionally supports QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric real or complex matrices.
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
Modelling and simulation of continuous and time discrete automatic control systems in the time and frequency domain. Graphical, block oriented user interface with more than 80 basic blocks. Design and reusing of user-defined blocks. Presentation of simulation result as data series as well as time, Bode, Nichols-Black and Nyquists diagrams. Calculation of eigenvalues. Exporting to other applications for further processing. Creation of libraries.
control system, nyquist diagram, simulator, time domain, controller, eigenvalues, automation, black s plot, control, dynamics, bode diagram, frequency domain, closed loop