Multi-impulse orbital rendezvous is a classical spacecraft trajectory optimization problem, which has been widely studied for a long time. Numerical optimization methods, deeplearning (DL) methods, ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

This is a preview. Log in through your library . Abstract A new algorithm for inequality constrained optimization is presented, which solves a linear programming subproblem and a quadratic subproblem ...

In this paper we test different conjugate gradient (CG) methods for solving largescale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic ...

This study developed a novel algorithm for setting automatic auditing thresholds in a Medicaid program in Maryland. Objectives: To develop and test a methodology for optimally setting automatic ...

Stochastic control problems in finance often involve complex controls at discrete times. As a result, numerically solving such problems using, for example, methods based on partial differential or ...

Numerical Continuation and Stationkeeping of Quasi-Periodic Quasi-Satellite Orbits around Phobos Quasi-satellite orbits (QSOs) have been under the research spotlight due to their linear stability and ...

First, authors provide the mathematical model describing a multi-impulse linear rendezvous problem and the RL algorithms used, and present the RL-based approach to rendezvous design. For the ...