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GIPALS - Linear Programming Environment 3.3

GIPALS - Linear Programming Environment 3.3: Linear programming environment for constrained optimization. linear programs with tens and hundreds of thousand variables and constraints. GIPALS can import linear programs from Mathematical Programming System (MPS) data format that is an industry standard for the description of a variety of linear programs. Any linear program specified in GIPALS` user interface could be exported to MPS format. The solution of the linear programs can be saved as CSV (comma-delimited spreadsheet), Tab-delimited or HTML file






GIPALS32 - Linear Programming Library 3.5: Linear programming library for constrained optimization.
GIPALS32 - Linear Programming Library 3.5

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

optimization, linear programming library, linear program, library, matrix, gipals32, primal dual, linear programming, interior point, constrained optimization, constraint





GIPALS32 - Linear Programming Library 3.0: Linear programming library for constrained optimization.
GIPALS32 - Linear Programming Library 3.0

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

optimization, linear programming library, linear program, library, matrix, gipals32, primal dual, linear programming, interior point, constrained optimization, constraint



DataFitting 1.7.9: DataFitting performs regression analysis to estimate values of parameters.
DataFitting 1.7.9

linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that

function, regression, least squares, parsing, equation, data, curve fit, fitting, nonlinear, formula, datafitting, curve fitting, non linear



Regression Analysis - DataFitting 1.7.6: DataFitting performs regression analysis to estimate values of parameters.
Regression Analysis - DataFitting 1.7.6

linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that

function, regression, least squares, parsing, equation, data, curve fit, fitting, nonlinear, formula, datafitting, curve fitting, non linear



Ordinary Differential Equations 1.00: Solves boundary-value problems involving ordinary differential equations
Ordinary Differential Equations 1.00

Solves boundary-value or initial-value problems involving nonlinear or linear ordinary differential equations of any order, or systems of such. The conditions may also be linear or nonlinear. The solution will be a finite power or trigonometric series. You have one-click control of the graph with zooming, panning, centering, etc. The solution may be studied by the POWER & TRIG SERIES program to find roots, extrema, derivatives, integral, graph.

equations, math, differential equations, mathematics, science, ordinary, differential, engineering



Regression Analysis - CurveFitter 4.5.6: CurveFitter performs regression analysis to estimate values of parameters.
Regression Analysis - CurveFitter 4.5.6

linear and nonlinear models for any application. Its state-of-the-art data fitting includes the following capabilities: *Any user-defined equations of up to nine parameters and eight variables. *Linear equations. *Nonlinear exponential, logarithmic and power equations. *A 38-digit precision math emulator for properly fitting high order polynomials and rationals. Graphically Review Curve Fit Results: Once your data have been fit, Curvefitter automatically

curve, curvefitter, function, trigonometric, regression, least squares, parsing, equation, curve fit, fitter, exponential, nonlinear, formula


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