Dynamic programming and pseudo-inverses

Applied Mathematics and Computation

Volumn 139, Issue 2-3, 2003, Pages 323-342

  Fan, Y ^a   Kalaba, R ^a  

^a University of Southern California ^*  (United States)

Author keywords

Dynamic programming; Generalized inverse; Greville's algorithm; Least squares

Indexed keywords

ALGORITHMS; INVERSE PROBLEMS; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA;

GENERALIZED INVERSES;

DYNAMIC PROGRAMMING;

EID: 0037448174     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0096-3003(02)00191-1     Document Type: Article

References (8)

1. Kohonen T. Self-Organization & Associative Memory. 1989;Springer-Verlag, New York, Inc.
2. Bohrnstedt G.W., Knoke D. Statistics for Social Data Analysis. third ed. 1994;F.E. Peacock, Itasca, IL.
3. Udwadia F., Kalaba R. Analytical Dynamics. 1996; Cambridge University Press, London.
4. Kalaba R., Rasakhoo N. Algorithms for generalized inverses. Journal of Optimization Theory and Applications. 48(3):1986;427-435.
5. Udwadia F., Kalaba R. An alternative proof of the Greville formula. Journal of Optimization Theory and Applications. 94(3):1997;23-28.
6. Bellman R., Kalaba R. Dynamic Programming and Modern Control Theory. 1965;McGraw-Hill, New York.
7. Kalaba R., Xu R., Feng W. Solving shortest length least-squares problems via dynamic programming. Journal of Optimization Theory and Applications. 85(3):1995;613-632.
8. R. Kalaba, H. Natsuyama, Dynamic programming and minimal norm solutions of least squares problems, submitted for publication.