Projected Nonlinear Least Squares for Exponential Fitting
From MaRDI portal
Publication:4600007
DOI10.1137/16M1084067zbMath1432.65082arXiv1508.05890OpenAlexW2626218069WikidataQ115525631 ScholiaQ115525631MaRDI QIDQ4600007
Publication date: 5 January 2018
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1508.05890
parameter estimationdimension reductionspectral analysismodal analysisexponential fittingnonlinear least squaresexperimental designharmonic estimation
Parametric tolerance and confidence regions (62F25) Design of statistical experiments (62K99) Numerical optimization and variational techniques (65K10) Methods of successive quadratic programming type (90C55)
Related Items
The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems, Sampling-free model reduction of systems with low-rank parameterization, $\mathcal{H}_2$-Optimal Model Reduction Using Projected Nonlinear Least Squares
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Functional approach to optimal experimental design.
- Hybrid Deterministic-Stochastic Methods for Data Fitting
- Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
- An inexact Levenberg-Marquardt method for large sparse nonlinear least squres
- Matrix Analysis
- Inexact Newton Methods
- A New Class of Incremental Gradient Methods for Least Squares Problems
- Separable nonlinear least squares: the variable projection method and its applications
- Perturbation analysis of an SVD-based linear prediction method for estimating the frequencies of multiple sinusoids
- Incremental Least Squares Methods and the Extended Kalman Filter
- Exponential Data Fitting and its Applications
- Compressed Sensing Off the Grid
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
