Dynamic programming and minimal norm solutions of least squares problems

DOI10.1016/J.CAMWA.2004.01.007zbMath1177.90404OpenAlexW2055795328MaRDI QIDQ1767947

Robert E. Kalaba, Harriet H. Natsuyama

Publication date: 8 March 2005

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2004.01.007

zbMATH Keywords

Dynamic programmingLeast squaresPseudoinverses

Mathematics Subject Classification ID

Theory of matrix inversion and generalized inverses (15A09) Least squares and related methods for stochastic control systems (93E24) Dynamic programming (90C39)

Related Items (2)

Dynamic programming and pseudo-inverses ⋮ Statistical measures for least squares using the \(\alpha Q\beta R\) algorithm

Cites Work

• The estimation of parameters in time-dependent transport problems: Dynamic programming and associative memories
• The Bellman-Gauss principle for constrained motion
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