Current methodologies for solving UC problems predominantly rely on mixed-integer ... a constrained graph-temporal convolutional network, which addresses the UC problem by directly predicting power ...

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

The MELP (Mixed-Excitation Linear Predictive) Vocoder Algorithm is the 2400 bps Federal Standard speech coder. The selection test concentrated on four areas: intelligibility, voice quality, talker ...

Objectives The relationship between the volume of medical procedures conducted in hospitals and the resulting health outcomes has been described for various surgical and non-surgical medical ...

Topics include: Run time analysis, divide-and-conquer algorithms, dynamic programming algorithms, network flow algorithms, linear and integer programming, large-scale search algorithms and heuristics, ...

This code is written in Python3-Gurobi API interface. In CVRPTW, a fleet of vehicles with a limited capacity leave depot to serve a set of customers and finally come back to the depot. Every customers ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

Most of the classical and some more advanced subjects in the theory of algorithms are covered, though not in a comprehensive manner. The topics include Divide and Conquer, Dynamic Programming, Graph ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...