Sparse and nonnegative sparse D-MORPH regression

DOI10.1007/s10910-015-0527-1zbMath1331.62378OpenAlexW819580169MaRDI QIDQ498497

Herschel Rabitz, Roberto Rey-de-Castro, Genyuan Li, Xi Xing

Publication date: 28 September 2015

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-015-0527-1

zbMATH Keywords

underdetermined systemD-MORPH regressionleast-squares regressionIRLSmass spectrum analysisquantum-control-mechanism identificationRRLS

Mathematics Subject Classification ID

Linear inference, regression (62J99) Applications of statistics to physics (62P35) Linear equations (linear algebraic aspects) (15A06)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• General formulation of HDMR component functions with independent and correlated variables
• D-MORPH regression for modeling with fewer unknown parameters than observation data
• Analytical HDMR formulas for functions expressed as quadratic polynomials with a multivariate normal distribution
• D-MORPH regression: Application to modeling with unknown parameters more than observation data
• General foundations of high-dimensional model representations
• A Globally Convergent Method for $l_p $ Problems
• Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization
• Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse
• Iteratively reweighted least squares minimization for sparse recovery
• Discrete Cosine Transform

This page was built for publication: Sparse and nonnegative sparse D-MORPH regression