Abstract: This letter proposes a structure-aware automatic differentiation method to accelerate the solution of alternating current optimal power flow (ACOPF) with nonlinear programming (NLP) solvers.

Deep neural networks have become a highly accurate and powerful wavefunction ansatz in combination with variational Monte Carlo methods for solving the electronic Schrödinger equation. However, ...

Institutions must seek new and exciting ways to improve diversity in the classroom because diversity benefits all stakeholders of the learning process. Research has long demonstrated increases in ...

The judgment in the case has portrayed the differentiation between a moral obligation and a lawful code in a very effective manner. The court began with the source of the moral obligation of not ...

Abstract: First order derivative computations (Jacobian matrices) are required by power flow studies. In this paper the computation of the sparse Jacobian matrix is implemented using an automatic code ...