We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...

Abstract: This article proposes the fractional-order gradient neural network (FO-GNN) model for time-variant quadratic programming (TVQP) problems, marking the first integration of fractional calculus ...

Abstract: In this work, we extend the simplex algorithm of linear programming for finding a local minimum of a concave quadratic function subject to box constraints. In order to test the performance ...

Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...

There are broadly two ways to solve quadratic equations. The first is factorization, and the second is the quadratic formula.(Completing the square? What's that, is it tasty?) Of these, the quadratic ...

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A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs) ...