.. _opt_index_examples_beginner: ===================== Basic Hybrid Examples ===================== .. toctree:: :maxdepth: 1 :hidden: example_nl_tsp example_cqm_binpacking example_cqm_stockselling example_cqm_diet 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 :term:`nonlinear-model ` solver. .. grid:: 3 :gutter: 2 .. grid-item-card:: :ref:`opt_example_nl_tsp` :link: opt_example_nl_tsp :link-type: ref Helps you start using the Leap service's hybrid nonlinear-model solver. Quadratic Models ================ These examples use the |cloud| service's :term:`quadratic model` solvers. .. grid:: 3 :gutter: 2 .. grid-item-card:: :ref:`opt_example_cqm_binpacking` :link: opt_example_cqm_binpacking :link-type: ref Solves a constrained problem with binary variables using the |cloud| service's CQM solver. .. grid-item-card:: :ref:`opt_example_cqm_stockselling` :link: opt_example_cqm_stockselling :link-type: ref Solves an constrained problem with integer variables using the Leap service's CQM solver. .. grid-item-card:: :ref:`opt_example_cqm_diet` :link: opt_example_cqm_diet :link-type: ref 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 :ref:`opt_index_examples_advanced` section.