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

GIPALS32 - Linear Programming Library 3.5

linear programming library that incorporates the power of linear programming solver and simplicity of integration to any software tools like Ms Visual C++, Ms Visual C# .Net, Ms Visual Basic, Borland Delphi and other that support a DLL import. The maximum number of constraints and variables is unlimited. The linear program solver is based on Interior-Point method (Mehrotra predictor-corrector algorithm) and optimized for large sparse linear programs

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


GIPALS - Linear Programming Environment 3.3: Linear programming environment for constrained optimization.

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

optimization, predictor corrector, linear program, matrix, primal dual, gipals, interior point, constrained optimization, sparse matrix, constraint


WebCab Optimization (J2EE Edition) 2.6: Enterprise Java Component for solving local or global optimization problems.

WebCab Optimization (J2EE Edition) 2.6

linear constraints; linear programming - here the functions are linear and the constraints are linear; sensitivity Analysis - Stability of the value and location of the extremum This product also contains the following feature: GUI Bundle - we bundle a suite of graphical user interface JavaBean components allowing the developer to plug-in a wide range of GUI functionality (including charts/graphs) into their client applications. EAR Files - we provide

combination, minimum, maximum, optimization, websphere, dimensional, local, local global, problem algorithm, j2ee, global


WebCab Optimization (J2SE Edition) 2.6: Java class library for solving local or global optimization problems.

WebCab Optimization (J2SE Edition) 2.6

Refined procedures for solving and performing sensitivity analysis on uni and multi dimensional, local or global optimization problems which may or may not have linear constraints. Specialized Linear programming algorithms based on the Simplex Algorithm and duality are included along with a framework for sensitivity analysis w.r.t. boundaries (duality, or direct approach), or object function coefficients.

optimization, minima, java, class libraries, local global, maxima, javabeans, j2se

Production Mix Model Excel 30: Maximize overall profit by optimizing resource use, for products or services.

Production Mix Model Excel 30

Linear Programming to identify the optimum result. It considers the resource demand, profit contribution and any minimum or maximum production requirements for each Production Item. By using the Solver Add-in included with Microsoft Excel the optimum solution is identified and can then be manually adjusted to test alternative scenarios. Operation is fully automated with tabular inputs and outputs. No knowledge of Linear Programming or Excel is required

solver, planning, maximize, manufacturing, production, tool, business, costs, scheduling, profit, revenue

Limnor Studio - Codeless Programming 5.0: create software applications without using computer languages

Limnor Studio - Codeless Programming 5.0

programming are saved in XML files. The compiler compiles the XML files and generates C# source code. It uses .Net types as its programming entities and thus works with all other .Net programming languages seamlessly. An IDE system is created to host visual programming designers which visualize the programming in different ways. Form-designer visualizes the graphic user interface design. Object-Explorer visualizes hierarchical relationship between

inventory, web service, multimedia, codeless programming, graphical programming, cdrom, activex, rs232, cloud computing, math expression, visual programming

OptiVec for Borland C++ 6.3.5: OptiVec: Fast vector and matrix library for Borland C/C++

OptiVec for Borland C++ 6.3.5

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

OptiVec for Delphi 2006/2007 6.3.5: OptiVec: Fast vector and matrix library for Delphi 2006/2007

OptiVec for Delphi 2006/2007 6.3.5

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

OptiVec for Visual C++ 6.3.5: OptiVec: Fast vector and matrix library for MS Visual C++

OptiVec for Visual C++ 6.3.5

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

OptiVec for Delphi 2005 6.3.5: OptiVec: Fast vector and matrix library for Delphi 2005

OptiVec for Delphi 2005 6.3.5

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