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Original Articles

An algorithm for computing nonnegative minimal norm solutions

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Pages 87-103 | Accepted 23 Jul 1993, Published online: 15 May 2007

References

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  • Luenberger , D.G. Introduction to Linear and Nonlinear Programming
  • Nirenberg , L. 1960 . “ Lectures given in 1960-61, notes by Lesley Silbner ” . In Functional Analysis , New York University .
  • Sreedharan , V.P. 1971 . Least squares algorithms for finding solutions of overdetermined linear equations which minimize error in an abstract norm . Num. Math , 17 : 387 – 401 .
  • Sreedharan , V.P. 1973 . Least squares algorithms for finding solutions of overdetermined systems of linear equations which minimize error in a smooth strictly convex norm . J. Approximation Theory , 8 : 46 – 61 .
  • Sreedharan , V.P. 1986 . Extensions of subgradient projection algorithms . J. Approximation Theory , 47 : 228 – 239 .
  • Sreedharan , V.P. 1987 . ε-Subgradient projection algorithm . J. Approximation Theory , 51 : 27 – 46 .
  • Sreedharan , V.P. 1987 . An algorithm for non-negative norm minimal solutions . Numer. Fund. Anal, and Optimiz , 9 ( 1&2 ) : 193 – 232 .

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