Basic Hybrid Examples#
For beginners, formulating problems as Quadratic Models can be a more intuitive introduction to solving optimization problems. Nonlinear Models may be more familiar for users with experience in non-linear programming; for many problems, these models—if effectively formulated—are expected to enable superior performance.
Nonlinear Models#
These examples solve small instances of known optimization problems using the Leap service’s hybrid nonlinear-model solver.
Helps you start using the Leap service’s hybrid nonlinear-model solver.
Quadratic Models#
These examples use the Leap service’s quadratic model solvers.
Solves a constrained problem with binary variables using the Leap service’s CQM solver.
Solves an constrained problem with integer variables using the Leap service’s CQM solver.
Solves a mixed-integer linear-programming (MILP) problem using the Leap service’s CQM solver.
Additional Examples#
For additional and more advanced examples, see the Hybrid Usage Examples section.