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Concept

Smith normal form

Publications associées (7)

Non-normal forms

Yves-Marie François Ducimetière

In this thesis, we propose to formally derive amplitude equations governing the weakly nonlinear evolution of non-normal dynamical systems, when they respond to harmonic or stochastic forcing, or to an initial condition. This approach reconciles the non-mo ...

EPFL2024

Equivalence Checking for Orthocomplemented Bisemilattices in Log-Linear Time

Viktor Kuncak, Simon Guilloud

We present a quasilinear time algorithm to decide the word problem on a natural algebraic structures we call orthocomplemented bisemilattices, a subtheory of boolean algebra. We use as a base a variation of Hopcroft, Ullman and Aho algorithm for tree isomo ...

Springer2022

A Third Way Alternative; Critical Assessments from the Model of the Yugoslav City

Jana Konstantinova

This dissertation aims to demonstrate the development, meaning and significance of cultural infrastructure in the cities of Skopje, Belgrade and Sarajevo (1945-1991). In the historic context, culture became the fundamental critical tool with which to yield ...

EPFL2021

Part Load Vortex Rope as a Global Unstable Mode

François Avellan, François Gallaire, Simon Pasche

Renewable energy sources (RES) have reached 23.7% of the worldwide electrical generation production in 2015. The hydraulic energy contribution amounts to 16.6% and comes mainly form large-scale hydropower plants, where Francis turbines represents 60% of th ...

American Society of Mechanical Engineers2017

Bilinear Control Systems with Forced Integrable Filtration

Philippe Müllhaupt, Basile Graf

A class of nonlinear systems and a filtration of the corresponding codistributions are presented. The filtration enjoys some strong integrability property which allows an easy computation of a linearizing normal form whenever the algorithm terminates with ...

American Institute of Physics2012

A Game Theoretic Approach to Expander-based Compressive Sensing

Volkan Cevher

We consider the following expander-based compressive sensing (e-CS) problem: Given Φ ∈ ℝM×N (M

IEEE2011

Online performance guarantees for sparse recovery

Volkan Cevher

A K*-sparse vector x* ∈ RN produces measurements via linear dimensionality reduction as u = Φx* +n, where Φ ∈ RM×N (M

2011