Oblique Projections: Formulas, Algorithms, and Error Bounds.
Interim rept. 1 May 85-2 Feb 87,
JOHNS HOPKINS UNIV BALTIMORE MD DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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When an orthogonal projection is to be computed using data acquired by distributed sensors, it is often necessary to process each sensors data locally and then transmit the results to a central facility for final processing. The most efficient way to do this is to compute oblique projections locally. This choice makes the final processing a matter of summing the oblique projections. This paper derives new formulas, and iterative algorithms and associated error bounds, for oblique projections in arbitrary Hilbert spaces.
- Numerical Mathematics