GIPALS - Linear Programming Environment 3.3
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 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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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

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

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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

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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

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

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