Publications associées à Algorithme de recherche d'un zéro d'une fonction

CSL controls telomere maintenance and genome stability in human dermal fibroblasts

Joachim Lingner, Thomas Frédéric Lunardi, Paris Jafari

Genomic instability is a hallmark of cancer. Whether it also occurs in Cancer Associated Fibroblasts (CAFs) remains to be carefully investigated. Loss of CSL/RBP-J kappa, the effector of canonical NOTCH signaling with intrinsic transcription repressive fun ...

Springer2019

Structure from sound with incomplete data

Martin Vetterli, Ivan Dokmanic, Gilles Baechler, Miranda Krekovic

In this paper, we consider the problem of jointly localizing a microphone array and identifying the direction of arrival of acoustic events. Under the assumption that the sources are in the far field, this problem can be formulated as a constrained low-ran ...

2018

Expectation propagation in the large data limit

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Expectation propagation (EP) is a widely successful algorithm for variational inference. EP is an iterative algorithm used to approximate complicated distributions, typically to find a Gaussian approximation of posterior distributions. In many applications ...

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In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms have been proposed that can be used with general Fourier subsampling patterns. However, the design of these subsampling patterns has typically been ...

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Let’s be honest: An optimal no-regret framework for zero-sum games

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We revisit the problem of solving two-player zero- sum games in the decentralized setting. We pro- pose a simple algorithmic framework that simulta- neously achieves the best rates for honest regret as well as adversarial regret, and in addition resolves t ...

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A Householder-Based Algorithm For Hessenberg-Triangular Reduction

Daniel Kressner, Zvonimir Bujanovic

The QZ algorithm for computing eigenvalues and eigenvectors of a matrix pencil A - lambda B requires that the matrices first be reduced to Hessenberg-triangular (HT) form. The current method of choice for HT reduction relies entirely on Givens rotations re ...

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SNM: Stochastic Newton Method for Optimization of Discrete Choice Models

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Optimization algorithms are rarely mentioned in the discrete choice literature. One reason may be that classic Newton-Raphson methods have been rather successful in estimating discrete choice parameters on available data sets of limited size. However, than ...

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SNM: Stochastic Newton Methodfor Optimization of Discrete Choice Models

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Algorithme de recherche d'un zéro d'une fonction

CSL controls telomere maintenance and genome stability in human dermal fibroblasts

Structure from sound with incomplete data

Expectation propagation in the large data limit

Learning-Based Compressive MRI

Let’s be honest: An optimal no-regret framework for zero-sum games

Hypertypes: From social bridges to an urbanism of aspirations, affordances and capabilities

A Householder-Based Algorithm For Hessenberg-Triangular Reduction

SNM: Stochastic Newton Method for Optimization of Discrete Choice Models

SNM: Stochastic Newton Methodfor Optimization of Discrete Choice Models

Shape control and whole-life energy assessment of an ‘infinitely stiff’ prototype adaptive structure

Graph Chatbot

Chattez avec Graph Search

CSL controls telomere maintenance and genome stability in human dermal fibroblasts

Let’s be honest: An optimal no-regret framework for zero-sum games

Hypertypes: From social bridges to an urbanism of aspirations, affordances and capabilities

Structure from sound with incomplete data

Expectation propagation in the large data limit

A Householder-Based Algorithm For Hessenberg-Triangular Reduction

Learning-Based Compressive MRI

SNM: Stochastic Newton Method for Optimization of Discrete Choice Models

SNM: Stochastic Newton Methodfor Optimization of Discrete Choice Models

Shape control and whole-life energy assessment of an ‘infinitely stiff’ prototype adaptive structure