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Distributed primal strategies outperform primal-dual strategies over adaptive networks

Related publications (10)

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Distributionally Robust Linear Quadratic Control

Daniel Kuhn, Bahar Taskesen, Cagil Kocyigit

Linear-Quadratic-Gaussian (LQG) control is a fundamental control paradigm that is studied in various fields such as engineering, computer science, economics, and neuroscience. It involves controlling a system with linear dynamics and imperfect observations ...

2023

An FFT-based Numerical Method for Elasto-Plastic Contact

Jean-François Molinari, Guillaume Anciaux, Lucas Henri Galilée Frérot

Contact of rough surfaces is of prime importance in the study of friction and wear. Numerical simulations are well suited for this non-linear problem, but natural surfaces being fractal [1], they have high discretization requirements. There is therefore a ...

2018

A semi-Lagrangian splitting method for the numerical simulation of sediment transport with free surface flows

Marco Picasso, Alexandre Caboussat, Gilles Steiner, Arwa Mrad

We present a numerical model for the simulation of 3D poly-dispersed sediment transport in a Newtonian flow with free surfaces. The physical model is based on a mixture model for multiphase flows. The Navier-Stokes equations are coupled with the transport ...

PERGAMON-ELSEVIER SCIENCE LTD2018

Stability and Performance Limits of Adaptive Primal-Dual Networks

Ali H. Sayed

This paper studies distributed primal-dual strategies for adaptation and learning over networks from streaming data. Two first-order methods are considered based on the Arrow-Hurwicz (AH) and augmented Lagrangian (AL) techniques. Several revealing results ...

IEEE2015

Reduced order modeling techniques for numerical homogenization methods applied to linear and nonlinear multiscale problems

Yun Bai

The characteristic of effective properties of physical processes in heterogeneous media is a basic modeling and computational problem for many applications. As standard numerical discretization of such multiscale problems (e.g. with classical finite elemen ...

EPFL2013

Multi-component particle size segregation in shallow granular avalanches

Christophe Ancey

A general continuum theory for particle size segregation and diffusive remixing in polydisperse granular avalanches is formulated using mixture theory. Comparisons are drawn to existing segregation theories for bi-disperse mixtures and the case of a ternar ...

Cambridge University Press2011

Primality Testing

Kamal Tahiri Jouti

Since the discovery of the utility of the numbers, the human being tried to differentiate them. We decide between them according to whether they are even or odd. Or, according to the fact that they are prime or composite. A natural number n >1 is called a ...

2006

General state-space models

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004

Efficient generation of prime numbers

Serge Vaudenay

The generation of prime numbers underlies the use of most public-key schemes, essentially as a major primitive needed for the creation of key pairs or as a computation stage appearing during various cryptographic setups. Surprisingly, despite decades of in ...

2000

Implementation of a new primality test

Arjen Lenstra

An implementation of the Cohen-Lenstra version (see ibid., vol. 42, p.297-330, 1984) of the Adleman-Pomerance-Rumely primality test (see L.M. Adleman, C. Pomerance and R.S. Rumely, Ann. of Math., vol.117, p.173-206, 1983) is presented. Primality of prime n ...

American Mathematical Society1987