Separable nonlinear least squares: the variable projection method and its applications
By Gene H. Golub, Víctor Pereyra. 2003
825 citations recorded by the source corpus.
Subfields: Computational Mechanics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/3f201634276f9c1c79e421355b4915b69b4aae24
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Feng Ding
- A. Petersen‐Øverleir
- Peter Xiaoping Liu
- Guangjun Liu
- Gregory Beylkin
- Ivonne Sgura
- Giuseppe Saccomandi
- Michel Destrade
In Signal Processing
- Lucas Monzón
- Gregory Beylkin
- A. Petersen‐Øverleir
- Feng Ding
- Peter Xiaoping Liu
- Guangjun Liu
- Ivonne Sgura
- Giuseppe Saccomandi
Citations in the corpus
- On approximation of functions by exponential sums (2005, background): “We refer to [13] for a good review of such approaches.”
- Methodical fitting for mathematical models of rubber-like materials (2016, methodology): “Second, since the models contain only one non-linear term, we were also able to apply the VARPRO method devised by Golub and Pereyra (2003).”
- Modelling stage—discharge relationships affected by hysteresis using the Jones formula and nonlinear regression (2006, background): “Henderson (1966) and Di Silvio (1969) allowed for diffusion by introducing parabolic and triangular approximations, respectively, to the flood wave in the Jones formula.”
- Identification methods for Hammerstein nonlinear systems (2011, methodology): “Golub and Pereyra applied the projection method for solving separable nonlinear least squares problems [34].”
- Load Modeling—A Review (2018, neutral): “Golub and Pereyra [116] proposed a variable projection based optimization algorithm to identify the parameters of several different load models.”