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Optimization Solver

Solve linear programming and optimization problems using FICO Xpress syntax with this free online tool.

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About This Tool

The FICO Xpress Optimizer is a powerful online tool that allows you to solve linear programming (LP), mixed-integer programming (MIP), and other optimization problems. Simply enter your objective function, constraints, and variables using standard mathematical notation, and get detailed solutions including optimal values, variable values, and constraint status. The tool supports maximization and minimization problems with real-world applications in logistics, finance, manufacturing, and resource allocation.
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How to Use

  1. Enter your objective function (e.g., 'maximize: 3x + 5y' or 'minimize: 2x + 4y')
  2. Add constraints in the format 'x + y <= 10' or '2x - y >= 5'
  3. Define variable types (continuous, integer, binary) and bounds
  4. Select solver options (LP, MIP, time limit)
  5. Click 'Solve Optimization Problem' to get results
  6. View detailed solution including optimal value, variable values, and constraint status
How to use fico xpress optimizer

Frequently Asked Questions

Find Quick Answers

What types of optimization problems can this tool solve?
This tool can solve linear programming (LP), mixed-integer programming (MIP), and integer programming problems. It supports both maximization and minimization objectives with linear constraints.
What mathematical notation should I use?
Use standard mathematical notation: variables like x, y, z; coefficients like 3.5, -2; operators +, -, *, /; comparison operators <=, >=, =; and keywords 'maximize:' or 'minimize:' for the objective.
How accurate are the solutions?
The tool uses a robust mathematical solver that provides highly accurate solutions with precision up to 12 decimal places. For integer problems, it finds optimal or near-optimal solutions depending on time limits.
Can I save or export my optimization model?
Currently, the tool doesn't support saving models between sessions, but you can copy the input text and results. Future versions may include export to LP file format.
What's the maximum problem size this tool can handle?
The tool can handle problems with up to 50 variables and 100 constraints efficiently. For larger problems, consider using dedicated optimization software.

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