Publications associées à Probabilistic analysis of algorithms

Attenuated Self-Interference Synchrophasor Estimation: the SOGI Interpolated DFT

In this paper, a synchrophasor estimation (SE) algorithm is presented to simultaneously comply with the requirements for the P and M phasor measurement unit (PMU) performance classes. The method employs a second-order generalized integrator (SOGI) quadratu ...

IEEE2023

Analytical Computation of Power Grids’ Sensitivity Coefficients with Voltage-Dependent Injections

Mario Paolone, Sherif Alaa Salaheldin Fahmy

With the increasing need of real-time regulation in power systems, grid-aware-control-frameworks are relying more often on sensitivity coefficients (SCs) to formulate and efficiently solve optimal control problems. As known, SCs are the derivatives of cont ...

IEEE2021

A Complexity Analysis Approach for Model-based System Engineering

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to meas ...

IEEE2020

Capacity and Data Complexity in Multidimensional Linear Attack

Serge Vaudenay, Jialin Huang

Multidimensional linear attacks are one of the most powerful variants of linear cryptanalytic techniques now. However, there is no knowledge on the key-dependent capacity and data complexity so far. Their values were assumed to be close to the average valu ...

Springer2015

Structured Derivation of Semi-Synchronous Algorithms

André Schiper, Martin Hutle, Zarko Milosevic, Fatemeh Borran, Hagit Albo Attiya

The semi-synchronous model is an important middle ground between the synchronous and the asynchronous models of distributed computing. In this model, processes can detect (timeout) when other processes fail. However, since detection is done by timing out, ...

2011

From spheres to spheropolyhedra: generalized Distinct Element Methodology and algorithm analysis

Thomas Liebling, Lionel Pournin

The Distinct Element Method (DEM) is a popular tool to perform granular media simulations. The two key elements this requires are an adequate model for inter-particulate contact forces and an efficient contact detection method. Originally, this method was ...

Springer2009

Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering

Anthony Christopher Davison, Vahid Partovi Nia

The paper contains description of the implementation of C code for tree representation of Markov Chain Monte Carlo(MCMC) clustering. The aim of the code is to produce results which helps in visual representation of the most frequent pattern, its agglomerat ...

2007

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Probabilistic analysis of algorithms

Attenuated Self-Interference Synchrophasor Estimation: the SOGI Interpolated DFT

Analytical Computation of Power Grids’ Sensitivity Coefficients with Voltage-Dependent Injections

A Complexity Analysis Approach for Model-based System Engineering

Fractal and Complexity Analysis of Crack Patterns of Masonry Walls

Capacity and Data Complexity in Multidimensional Linear Attack

Structured Derivation of Semi-Synchronous Algorithms

From spheres to spheropolyhedra: generalized Distinct Element Methodology and algorithm analysis

Performance of Averaging Algorithms in Time-Varying Networks

Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering

Graph Chatbot

Chattez avec Graph Search

Fractal and Complexity Analysis of Crack Patterns of Masonry Walls

Performance of Averaging Algorithms in Time-Varying Networks

From spheres to spheropolyhedra: generalized Distinct Element Methodology and algorithm analysis

A Complexity Analysis Approach for Model-based System Engineering

Analytical Computation of Power Grids’ Sensitivity Coefficients with Voltage-Dependent Injections

Capacity and Data Complexity in Multidimensional Linear Attack

Attenuated Self-Interference Synchrophasor Estimation: the SOGI Interpolated DFT

Structured Derivation of Semi-Synchronous Algorithms

Some Basic Functions for Tree Representations of Bayesian Markov Chain Monte Carlo Clustering