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Quadratic vector equations

Authors: POLONI, FEDERICO GIOVANNI;

Quadratic vector equations

Abstract

We study in an unified fashion several quadratic vector and matrix equations with nonnegativity hypotheses. Specific cases of such problems (QBD equations, nonsymmetric algebraic Riccati equations, Lu's simple equation, Markovian binary trees equations) have been studied extensively in the past by several authors. Many of the results appearing here have already been proved for one or more of the single instances of the problems, resorting to specific characteristics of the problem. In some cases the proofs we present here are mere rewriting of the original proofs with a little change of notation to adapt them to our framework, but in some cases we are effectively able to remove some hypotheses and generalize the results by abstracting the specific aspects of each problem.

Revised version

Related Organizations
Keywords

Numerical Analysis, \(M\)-matrix, algorithm, Algebra and Number Theory, quadratic vector equation, Matrix equations and identities, Other matrix algorithms, quasi-block-diagonal queue, nonsymmetric algebraic Riccati equation, Numerical Analysis (math.NA), functional iteration, nonnegative matrix, Positive matrices and their generalizations; cones of matrices, Newton's method, 15A24, 65F30, FOS: Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology, Mathematics - Numerical Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
Green
hybrid