Follow this learning path to get started with Optimization Solver, from browsing examples to building your own application.
Follow these steps to understand what Optimization Solver can do, and then use the provided examples to learn key concepts and start development.
Getting started learning path
Step 1. Browse examples
Browse What is Optimization Solver and the Linear programming tutorials to understand the solver's capabilities and the types of problems it can solve.
Step 2. Activate the service
Follow the Quick Start guide to activate the service at no cost, and then download and install the solver. For video tutorials on installation and operation, see Videos.
Step 3. Learn with examples
The examples folder in the MindOpt installation directory contains ready-to-run examples and data files. You can also refer to the Linear programming tutorials to learn about linear programming (LP). Choose a tutorial that interests you or uses your preferred programming language. Read the modeling analysis and run the source code. You can also visit the MindOpt Online Platform, which is in invitational preview, to call the solver using an algebraic modeling language. This approach is easier for beginners.
Step 4. Advanced development
Review the API descriptions in the Solver User Manual and develop your application as needed.