Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production ...

Constraint programming is a type of logic programming which allows you to define the constraints of a problem and leave it up to the computer to determine a solution. A Google SoC sponsored ...

We cover Constraint Programming and its use in solving a number of combinatorial problems. We also cover the underlying technology, and related combinatorial optimisation approaches. Summative ...

Constraint programs, such as those written in high-level constraint modelling languages, e.g., OPL (Optimization Programming Language), COMET, ZINC or ESSENCE, are more and more used in ...

We cover Constraint Programming and its use in solving a number of combinatorial problems. We also cover the underlying technology, and related combinatorial optimisation approaches. Summative ...

Constraint programs, such as those written in high-level constraint modeling languages, e.g., OPL (Optimization Programming Language), are more and more used in business critical programs. As any ...

How to solve linear programming and quadratic programming with inequality constraint only? For LP, I tried to use OSQP and pass the objective as (None, -c), the equality constraint as (None, None), ...

The hyperbolic (or fractional) linear programming problem with only one aggregate constraint is solved by a simple and extremely efficient algorithm. The core step in the iterative procedure is the ...