A Comparison of Accuracy and Computational Efficiency of Three Pseudospectral Methods

By Geoffrey T. Huntington, David A. Benson, Anil V. Rao. 2007

82 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/efafb19a3c4061ce0c5e19e38ae29ff2837f065d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Anil V. Rao
2. Michael A. Patterson
3. David A. Benson
4. Christopher Darby
5. Geoffrey T. Huntington
6. Camila Francolin
7. John E. Cochran
8. Ran Dai

In Numerical Analysis

1. Michael A. Patterson
2. Anil V. Rao
3. John E. Cochran
4. Ran Dai
5. Camila Francolin
6. David A. Benson
7. Geoffrey T. Huntington
8. Matthew Kelly

Citations in the corpus

• Algorithm 902: GPOPS, A MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method (2010, methodology): “…the gap between the theory and the implementation of pseudospectral methods for optimal con-trol by providing a general-purpose vectorized implementation of the Gauss pseudospectral method [Benson 2004; Benson et al. 2006; Huntington 2007; Huntington et al. 2007; Huntington and Rao 2007, 2008b].”
• Wavelet Collocation Method for Optimal Control Problems (2009, methodology): “3 The collocation methods developed to solve nonlinear optimal control problems generally fall into two categories, local collocation[12,13] and global orthogonal collocation [14-17].”