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Positive Semidefinite Hankel Structured Low Rank Approximation using Vandermonde Decomposition

2019 Fifth Indian Control Conference (ICC), 2019
In this paper, we propose a decomposition based method for solving the positive semidefinite Hankel structured low rank approximation (PHSLRA) of a given matrix. This problem is formulated as an unconstrained optimization problem using the Vandermonde decomposition of the positive semidefinite Hankel matrix.
Suman Rakshit, Swanand R. Khare
openaire   +1 more source

Magnetism of Tsai-Type Quasicrystal Approximants

Materials Transactions, 2021
Ryuji Tamura   +2 more
exaly  

From Asymptotic Series to Self-Similar Approximants

Physics, 2021
Vyacheslav I Yukalov
exaly  

Evolving standards of care and new challenges in the management of HER2-positive breast cancer

Ca-A Cancer Journal for Clinicians, 2020
Ciara C O'Sullivan   +2 more
exaly  

Second-order convex maximum entropy approximants with applications to high-order PDE

International Journal for Numerical Methods in Engineering, 2013
Daniel Millán
exaly  

Rational approximants using Levin-Weniger transforms

Computer Physics Communications, 1996
Ranjan Bhattacharya   +2 more
exaly  

On the convergence of generalized Padé approximants

Constructive Approximation, 1989
Herbert Stahl
exaly  

Nuttall-Pommerenke theorems for homogeneous Padé approximants

Journal of Computational and Applied Mathematics, 1996
D S Lubinsky
exaly  

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