Neural networks for solving systems of linear equations. II. Minimax and least absolute value problems
- 1 January 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- Vol. 39 (9) , 619-633
- https://doi.org/10.1109/82.193316
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Neural networks in minimax programmingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Maximal solution of linear systems of equations and an application in VLSIPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust Regression Computation Using Iteratively Reweighted Least SquaresSIAM Journal on Matrix Analysis and Applications, 1990
- 30 years of adaptive neural networks: perceptron, Madaline, and backpropagationProceedings of the IEEE, 1990
- Structured trainable networks for matrix algebraPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- New techniques for fast hybrid solutions of systems of equationsInternational Journal for Numerical Methods in Engineering, 1989
- Analysis and Properties of the Generalized Total Least Squares Problem $AX \approx B$ When Some or All Columns in A are Subject to ErrorSIAM Journal on Matrix Analysis and Applications, 1989
- Fast Ip solution of large, sparse, linear systems: Application to seismic travel time tomographyJournal of Computational Physics, 1988
- Restoration of images with missing high-frequency components by minimizing the L_1 norm of the solution vectorApplied Optics, 1985
- Fast algorithms for lpdeconvolutionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985