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 ...

Constraint programming (CP) is a powerful paradigm for solving combinatorial problems. However, finding well-structured problems and solutions can be challenging, especially for beginners.

Interpretation-based value analysis is a classical approach for verifying programs with floating-point computations. However, state-of-the-art tools compute an over-approximation of the variable ...

Mathematical Programming with Vanishing Constraints Publication Trend The graph below shows the total number of publications each year in Mathematical Programming with Vanishing Constraints.

Miller and Wagner have shown that a deterministic equivalent of a joint chance-constrained programming model with independent random right-hand-side elements is a concave programming problem. This ...

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), ...