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- W4384406733 abstract "Abstract Many of today’s problems require techniques that involve the solution of arbitrarily large systems $$Atextbf{x}=textbf{b}$$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mrow> <mml:mi>A</mml:mi> <mml:mi>x</mml:mi> <mml:mo>=</mml:mo> <mml:mi>b</mml:mi> </mml:mrow> </mml:math> . A popular numerical approach is the so-called Greedy Rank-One Update Algorithm, based on a particular tensor decomposition. The numerical experiments support the fact that this algorithm converges especially fast when the matrix of the linear system is Laplacian-Like. These matrices that follow the tensor structure of the Laplacian operator are formed by sums of Kronecker product of matrices following a particular pattern. Moreover, this set of matrices is not only a linear subspace it is a Lie sub-algebra of a matrix Lie Algebra. In this paper, we characterize and give the main properties of this particular class of matrices. Moreover, the above results allow us to propose an algorithm to explicitly compute the orthogonal projection onto this subspace of a given square matrix $$A in mathbb {R}^{Ntimes N}.$$ <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML> <mml:mrow> <mml:mi>A</mml:mi> <mml:mo>∈</mml:mo> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>N</mml:mi> <mml:mo>×</mml:mo> <mml:mi>N</mml:mi> </mml:mrow> </mml:msup> <mml:mo>.</mml:mo> </mml:mrow> </mml:math>" @default.
- W4384406733 created "2023-07-16" @default.
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- W4384406733 date "2023-07-15" @default.
- W4384406733 modified "2023-10-01" @default.
- W4384406733 title "Structure and Approximation Properties of Laplacian-Like Matrices" @default.
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- W4384406733 doi "https://doi.org/10.1007/s00025-023-01960-0" @default.
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