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 Programming System (MPS) data format that is an industry standard for the description of a variety of linear programs. Key features of GIPALS32: UNLIMITED linear program size; No external components or DLL are

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Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.

multilayer perceptron, fast training, regression, validation, approximation, neural network

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial and versatile local regressions. Interpolations include linear, cubic spline, and a `flexible` spline for more control of the spline shape. Data smoothing functions include moving average, median filter, and Gaussian smoothing.

averaging, regression, add in, data, data analysis, median, curve fit, polynomial, interpolation, smoothing, excel, gaussian, spline

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial and versatile local regressions. Interpolations include linear, cubic spline, and a `flexible` spline for more control of the spline shape. Data smoothing functions include moving average, median filter, and Gaussian smoothing.

averaging, regression, add in, data, data analysis, median, curve fit, polynomial, interpolation, smoothing, excel, gaussian, spline

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

function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion

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

function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion