Calling the library from Java
Covered Topics
- Burglar - Formulating logical constraints
- Constraint types - Logical, general, SOS, quadratic
- Boxes - Nonlinear constraints
- Capital budgeting - Using multi-objective optimization
- Catenary - Solving a QCQP
- Contract - Semi-continuous variables
- Cutstk - Column generation for a cutting stock problem
- Els - An economic lot-sizing problem solved by cut-and-branch and branch-and-cut heuristics
- Facility location problem - Data as arrays or collections
- Folio - Examples from 'Getting Started'
- General constraints - Minimium value and absolute value
- Hang glider trajectory
- Multi-knapsack - Constraint formulation alternatives
- Multi problems - Modifying constraint and variable definitions
- Polygon - Defining nonlinear constraints
- Project planning - Defining SOS
- Multi-period, multi-site production planning
- Purchase - Definition of SOS-2
- Solving a non-linear problem by recursion
- Sangraal - Scheduling problem with indicator constraints
- Wagon - MIP start solution heuristic
- Adding the message callback in Java
- Irreducible Infeasible Set Search
- 10 best solutions with the MIP solution enumerator
- Collecting all solutions with the MIP solution pool
- Collecting all solutions with the MIP solution pool
- Goal programming
- The travelling salesman problem
- Apply a binary fixing heuristic to an unpresolved MIP problem
- Apply a primal heuristic to a knapsack problem
- Load an LP and modify it by adding an extra constraint
- Save/access a postsolved solution in memory
- Adding MIP solutions to the Optimizer
- Solve LP, displaying the initial and optimal tableau
- Branching rule branching on the most violated Integer/Binary
- Repairing infeasibility
- Apply an integer fixing heuristic to a MIP problem
- Perform objective function parametrics on a MIP problem
- Perform RHS parametrics on a MIP problem
Parent Topic
Xpress Optimizer
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