Representations and expansions of weighted pseudoinverse matrices, iterative methods, and problem regularization. II. singular weights
From MaRDI portal
Publication:946780
DOI10.1007/s10559-008-9004-1zbMath1155.65030OpenAlexW2085623714MaRDI QIDQ946780
V. S. Deineka, E. F. Galba, Ivan V. Sergienko
Publication date: 24 September 2008
Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10559-008-9004-1
regularizationiterative methodsweighted pseudoinverse matricesweighted normal pseudosolutionsconstrained least-squares problems
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Theory of matrix inversion and generalized inverses (15A09)
Related Items
Weighted pseudoinversion with singular weights, Existence and uniqueness theorems in the theory of weighted pseudoinverses with singular weights, Representing weighted pseudoinverse matrices with mixed weights in terms of other pseudoinverses, Expansions of weighted pseudoinverses with mixed weights into matrix power series and power products, Methods for computing weighted pseudoinverses and weighted normal pseudosolutions with singular weights, Iterative methods to calculate weighted pseudoinverses with mixed weights, Existence and uniqueness of weighted pseudoinverse matrices and weighted normal pseudosolutions with singular weights
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Limiting representations of weighted pseudoinverse matrices with positive definite weights. Problem regularization
- Representations and expansions of weighted pseudoinverse matrices, iterative methods, and problem regularization. I. positive definite weights
- Use of recursive optimal estimates with pseudoinversion in identification problems
- Quadratically constrained least squares and quadratic problems
- Projections under seminorms and generalized Moore Penrose inverses
- On the weighting method for least squares problems with linear equality constraints
- Iterative methods for computing a weighted pseudo-inverse matrix.
- Methods of computing weighted pseudoinverse matrices with singular weights
- Iterative algorithms with seminorm-induced oblique projections
- A weighted pseudoinverse, generalized singular values, and constrained least squares problems
- Weighted singular decomposition and weighted pseudoinversion of matrices
- Expansion of weighted pseudoinverse matrices with positive definite weights into matrix power products. iterative methods
- Series expansion of weighted pseudoinverse matrices and iterative methods for calculating weighted pseudoinverse matrices and weighted normal pseudosolutions
- Iterative methods with different rates of convergence for calculating weighted pseudoinverse matrices and weighted normal pseudosolutions with positive definite weights
- Eigenvectors ofH-Selfadjoint Matrices
- Expansion of weighted pseudoinverse matrices with singular weights into matrix power products and iteration methods
- Matrix Analysis
- On the Method of Weighting for Equality-Constrained Least-Squares Problems
- Perturbation Theory for the Least Squares Problem with Linear Equality Constraints
- Block-Iterative Algorithms with Diagonally Scaled Oblique Projections for the Linear Feasibility Problem
- Weighted pseudoinversion of matrices with singular weights
- Expansions and polynomial limit representations of weighted pseudoinverses
- Weighted Pseudoinverses with Singular Weights
- Some Modified Matrix Eigenvalue Problems
- Expansion of Weighted Pseudoinverse Matrices in Matrix Power Products
- Iterative methods for computing weighted minimum-length least squares solution with a singular weight matrix
- Component averaging: An efficient iterative parallel algorithm for large and sparse unstructured problems
