LINDO
LINDO is optimization software used for linear, nonlinear, and integer programming. It allows users to formulate mathematical models, solve them, and analyze the results. LINDO is known for its speed and ability to handle large, complex problems.
LINDO: Optimization Software for Linear, Nonlinear, and Integer Programming
LINDO is optimization software used for linear, nonlinear, and integer programming. It allows users to formulate mathematical models, solve them, and analyze the results. LINDO is known for its speed and ability to handle large, complex problems.
What is LINDO?
LINDO is an optimization modeling software package developed by Lindo Systems Inc. It is used to formulate, solve, and analyze large, complex linear, nonlinear, and integer optimization models.
Some key features and capabilities of LINDO include:
- Fast processing and solution times for linear, mixed integer linear, quadratic, quadratically constrained, second order cone, and general nonlinear optimization problems
- Powerful presolve and reformulation capabilities to transform difficult models into easier-to-solve forms
- Options for defining complex models with integer, binary, semi-continuous variables, SOS constraints
- Sensitivity analysis tools to understand how the optimal solution changes with variations in model parameters
- APIs and integration capabilities with various programming languages like C/C++, Java, .NET, Python, MATLAB, and Excel
- Decomposition algorithms to solve very large problems by dividing them into smaller sub-problems
- Reliable and efficient performance on optimization problems with tens of thousands to millions of variables and constraints
LINDO is used across various industries including manufacturing, transportation, energy, finance. It enables creating optimization models for planning, scheduling, resource allocation problems to help make better and faster operational decisions.
LINDO Features
Features
- Linear programming solver
- Nonlinear programming solver
- Integer programming solver
- Stochastic programming capabilities
- Sensitivity analysis
- What-if analysis
Pricing
- Subscription-Based
Pros
Fast and efficient solver
Can handle large, complex optimization problems
Wide range of modeling capabilities
User-friendly interface
Good technical support
Cons
Steep learning curve
Expensive licensing costs
Limited customization options
Not open source
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