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Least Squares

Linear Regression 1.00

No Image Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.






WinLines 2.1: Addictive puzzle game where you must align 5 or more same colored balls.
WinLines 2.1

A Windows puzzle game with smooth animation and sound. Game objective is to align same colored balls in horizontal, vertical or diagonal lines. In standard game you will start with board 9x9 squares. Each turn three new balls appears in random places and random color. Your mission is to move balls so that there is at least five balls in line. Aligned balls will disappear. Game lasts until all squares are filled. You can play also other board size

five, align, game, balls, lines, puzzle, winlines





Logical 5 Board Game 1.0.12: An addictive board game for 1 or 2 Players, playing against computer. Freeware
Logical 5 Board Game 1.0.12

An addictive board game for 1 or 2 Players. Playing against computer is a real challenge! 2 player mode inclued.Freeware. Make at least 5 squares in a row, in any position, horizontally, vertically or diagonally. Rows and columns can be moved by clicking on the buttons placed at their beginning. The last square in a row dissapears after moving that row. Computer plays well, but don`t panic - it can be defeated after a little practice. Have fun!

board game, free game, games, board, freeware, game, new games, mind, logic



.NET Matrix Library 2.5.5000.811: Provides classes for object-oriented linear algebra in the .NET platform.
.NET Matrix Library 2.5.5000.811

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



.NET Matrix Library 64-bit Single 5.0: Provides classes for object-oriented linear algebra in the .NET platform.
.NET Matrix Library 64-bit Single 5.0

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



.NET Matrix Library 32-bit Developer 5.0: Provides classes for object-oriented linear algebra in the .NET platform.
.NET Matrix Library 32-bit Developer 5.0

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



.NET Matrix Library 64-bit Developer 5.0: Provides classes for object-oriented linear algebra in the .NET platform.
.NET Matrix Library 64-bit Developer 5.0

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


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