Optimization Methods for Frame Conditioning and Application to Graph Laplacian Scaling
From MaRDI portal
Publication:4609724
DOI10.1007/978-3-319-55550-8_3zbMath1385.42026arXiv1609.02233OpenAlexW2518767047MaRDI QIDQ4609724
Kasso A. Okoudjou, Chae Clark, Radu Balan, Matthew J. Begué
Publication date: 26 March 2018
Published in: Frames and Other Bases in Abstract and Function Spaces (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1609.02233
Related Items (2)
Tight Frame Graphs Arising as Line Graphs ⋮ Decomposition of Gaussian processes, and factorization of positive definite kernels
Uses Software
Cites Work
- Finite frames. Theory and applications.
- Scalable frames
- Frame scalings: a condition number approach
- Scalable Frames and Convex Geometry
- Measures of Scalability
- Minimizing Condition Number via Convex Programming
- Sampling in Paley-Wiener spaces on combinatorial graphs
- Optimizing Condition Numbers
- Iterative Solution Methods
- The Paulsen Problem in operator theory
- Diagram vectors and tight frame scaling in finite dimensions
- Minimizing Effective Resistance of a Graph
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Optimization Methods for Frame Conditioning and Application to Graph Laplacian Scaling