The innovative digital control algorithm used in the Ultra+ PLL achieves unprecedented loop bandwidth precision, enabling user-defined settings as accurate as 0.1% of Fref – with further accuracy ...

For humans, it's a classic test of planning and recursive logic. For language models trained to predict the next token, the challenge lies in applying fixed constraints across multiple steps ...

Mathematical programming with vanishing constraints (MPVC): A class of optimisation problems where certain constraints may become inactive (vanish) depending on the values of the decision ...

Load disaggregation based on aided linear integer programming (ALIP) is proposed. We start with a conventional linear integer programming (IP)-based disaggregation and enhance it in several ways. The ...

The distribution of a limited rate of high-pressure gas to gas-lifted wells, while respecting injection bounds and activation precedence constraints, consists of a mixed-integer nonlinear programming ...

SCIP: Solving Constraint Integer Programs Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Star 164 Code Issues Pull requests Discussions An extensible, lightweight relational/logic programming DSL written in pure Python minikanren logic-programming symbolic-computation clp ...