15 citations · 18 across the 10 of their papers we have counts for
10 papers
ArcLP: A Matlab implementation of an arc-search infeasible interior-point algorithm for linear programming
Yang, Yaguang
This paper presents a Matlab implementation of an arc-search infeasible interior point algorithm for linear programming (LP), which has a proven polynomial bound of $\mathcal{O}(\s…
Combining Reinforcement Learning with Arc-search Interior-Point Method for Path Planning
Yaguang Yang, Qiang Le, Isaac E. Weintraub
Path planning in environments containing obstacles has numerous practical applications. The problem is challenging because it is inherently nonlinear and nonconvex. Consequently, a…
Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach
Qiang Le, Yaguang Yang, Isaac E. Weintraub
Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge because the problem is nonlinear and nonconvex even in simplest scenarios. While tradi…
An arc-search BFGS algorithm for unconstrained nonlinear optimization problems
Yaguang Yang
The classical BFGS algorithm performs excellently for convex optimization problems. However, for non-convex problems, the classical BFGS method may fail to converge reliably. To ov…
A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning
Qiang Le, Yaguang Yang, Isaac E. Weintraub
Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge. While traditional optimal control methods can find ideal paths, the computational tim…
On optimal LISA orbit design
Yaguang Yang
The ESA/NASA joint LISA (laser interferometer space antenna) mission is designed to detect gravitational waves, which relies crucially on maintaining three-spacecraft constellation…
A computationally efficient arc-search interior-point algorithm for nonlinear constrained optimization
Yaguang Yang
This paper proposes an arc-search interior-point algorithm for the nonlinear constrained optimization problem. The proposed algorithm uses the second-order derivatives to construct…
A Systematic Methodology for Modeling and Attitude Control of Multi-body Space Telescopes
Yaguang Yang, William Bentz, Lia Lewis
This paper derives a symbolic multi-body rigid nonlinear model for a space telescope using Stoneking's implementation of Kane's method. This symbolic nonlinear model is linearized…
On the facet pivot simplex method for linear programming
Yaguang Yang
Dantzig's vertex pivot simplex method has been published for more than seven decades. Amazingly, it remains one of the most efficient methods to solve linear programming (LP) probl…
An Infeasible-Interior-Point Algorithm for Linear Programming
Yaguang Yang, Makoto Yamashita
In this paper, we propose an arc-search infeasible-interior-point algorithm. We show that this algorithm is polynomial and the polynomial bound is which is at least…