Computationally Efficient Decompositions of Oblique Projection Matrices
Author:
Funder
Lawrence Livermore National Laboratory
National Science Foundation
U.S. Department of Energy
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Link
https://epubs.siam.org/doi/pdf/10.1137/19M1288115
Reference10 articles.
1. Signal processing applications of oblique projection operators
2. Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints
3. Representations of quasi-Newton matrices and their use in limited memory methods
4. Block-Iterative Algorithms with Diagonally Scaled Oblique Projections for the Linear Feasibility Problem
5. Quasi-Newton Methods, Motivation and Theory
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