A unified approach for the recursive determination of generalized inverses
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Publication:1962944
DOI10.1016/S0898-1221(98)00247-8zbMath0936.65047MaRDI QIDQ1962944
Robert E. Kalaba, Firdaus E. Udwadia
Publication date: 20 January 2000
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
dynamic programminggeneralized inverseMoore-Penrose inverseunified approachrecursive determinationleast squares generalized inverseminimum-norm generalized inverse
Related Items (15)
Generalized inverses of tridiagonal operators ⋮ Generalized \(LM\)-inverse of a matrix augmented by a column vector ⋮ Recursive formulas for the generalized \(LM\)-inverse of a matrix ⋮ Symbolic and recursive computation of different types of generalized inverses ⋮ Moore-Penrose inverse of a Gram matrix and its nonnegativity ⋮ About the generalized \(LM\)-inverse and the weighted Moore-Penrose inverse ⋮ Effective partitioning method for computing generalized inverses and their gradients ⋮ Method of elementary transformation to compute Moore-Penrose inverse ⋮ An alternative proof for the recursive formulae for computing the Moore--Penrose \(M\)-inverse of a matrix ⋮ Differentiation of generalized inverses for rational and polynomial matrices ⋮ Statistical measures for least squares using the \(\alpha Q\beta R\) algorithm ⋮ Recursive determination of the generalized Moore-Penrose \(M\)-inverse of a matrix ⋮ On the extrema of linear least-squares problems ⋮ Nonnegative Moore-Penrose inverse of Gram matrices in an indefinite inner product space ⋮ Using the fundamental equation of constrained motion with inequality constraints
Cites Work
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- Associative memory approach to the identification of structural and mechanical systems
- Least-squares solution of equations of motion under inconsistent constraints
- Regression and the Moore-Penrose pseudoinverse
- A new perspective on constrained motion
- Response to Bucy’s comment on a paper by Udwadia and Kalaba
- Erratum: Generalized Inverse of a Matrix Product
- Some Applications of the Pseudoinverse of a Matrix
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