Python examples using the Xpress Optimizer

Covered Topics

• Using NumPy arrays to create variables
  
• Visualize the BB tree
  
• Irreducible Infeasible Sets
  
• Loading a problem
  
• Modeling with user functions
  
• Using Python model objects to build a problem
  
• Using Python model objects to build a problem
  
• Changing the optimization problem
  
• Extending a problem
  
• Using NumPy and Xpress
  
• Finding an LP subsystem with as many constraints as possible
  
• Solving a quadratically constrained problem
  
• Solving a nonconvex quadratic problem
  
• Solving a quadratically problem
  
• Repeatedly solving a problem
  
• Using indicators
  
• The travelling salesman problem
  
• Solving a TSP using NumPy
  
• Writing and reading problem files
  
• The feasiblity pump
  
• Knapsack problem
  
• The n-queens problem
  
• Min-cost-flow problem
  
• Solving Sudoku
  
• Comparing Matrices
  
• Multicommodity flow problem
  
• Find largest-area inscribed polygon
  
• Read problem data into matrix and vectors
  
• Solve a nonconvex MIQCQP problem
  
• Solve a simple MIP using Benders decomposition
  
• Create a problem with piecewise linear functions
  
• Use the API to create a model with piecewise linear functions
  
• Create a problem with general constraints that use operator abs
  
• Create a problem with general constraints with the operator abs by using the API
  
• Create a problem with general constraints that use operator max
  
• Create a problem with general constraints with operator max by using the API
  
• Create a problem with logical constraints
  
• Create a problem with general constraints with logic operators by using the API
  
• Create an iterative algorithm cutting stock problem
  
• Maximize the sum of logistic curves subject to linear and piecewise linear constraints
  
• Transportation problem with piecewise-linear costs
  
• Modeling Satisfiability (SAT) problems with MIP
  
• Modeling PseudoBoolean Optimization problems with MIP
  
• Re-solving problem using the Barrier method's warm start