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20142026
most citedA Polynomial-Time Algorithm for Solving the Minimal Observability Problem in Conjunctive Boolean Networks

57 citations · 336 across the 51 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

math.DS2020★ 6 cited

Generalization of the multiplicative and additive compounds of square matrices and contraction in the Hausdorff dimension

Chengshuai Wu, Raz Pines, Michael Margaliot +1

The multiplicative and additive compounds of a matrix play an important role in geometry, multi-linear algebra, the asymptotic analysis of nonlinear dynamical systems, and…

q-bio.SC2020

Variability in mRNA Translation: A Random Matrix Theory Approach

Michael Margaliot, Wasim Huleihel, Tamir Tuller

The rate of mRNA translation depends on the initiation, elongation, and termination rates of ribosomes along the mRNA. These rates depend on many "local" factors like the abundance…

math.OC2020

k-Contraction: Theory and Applications

Chengshuai Wu, Ilya Kanevskiy, and Michael Margaliot

A dynamical system is called contractive if any two solutions approach one another at an exponential rate. More precisely, the dynamics contracts lines at an exponential rate. This…

math.OC2020★ 10 cited

Is my system of ODEs -cooperative?

Eyal Weiss, Michael Margaliot

A linear dynamical system is called positive if its flow maps the non-negative orthant to itself. More precisely, it maps the set of vectors with zero sign variations to itself. A…

math.DS2020

On the Diagonal Stability of -Positive Linear Systems

Chengshuai Wu, Michael Margaliot

We consider -positive linear systems, that is, systems that map the set of vectors with up to sign variations to itself. For , this reduces to positive linear systems…

math.DS2020★ 2 cited

Random attraction in the TASEP model

Lars Grüne, Thomas Kriecherbauer, Michael Margaliot

The totally asymmetric simple exclusion process (TASEP) is a basic model of statistical mechanics that has found numerous applications. We consider the case of TASEP with a finite…