we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) formulation. We apply the ML surrogate approach to two case studies in this work. One ...

The designs using MRCs and EBDL can be verified and tested using the Boolean satisfiability of the electronic design automation algorithm. Notably, verification and debugging are challenging in ...

First, it outlines a novel Mixed Integer Linear Program (MILP) that can be used to calculate the optimal assignment of services to trajectories. MILP also decides which requests are transported to a ...

The MELPe algorithm was developed using several enhancements to the ... The MELPe Vocoder extends the traditional LPC parametric model with features for mixed-excitation, aperiodic pulses, pulse ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...