Publications related to Iterated function system

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Two characteristics that make convex decomposition algorithms attractive are simplicity of operations and generation of parallelizable structures. In principle, these schemes require that all coordinates update at the same time, i.e., they are synchronous ...

SPRINGER/PLENUM PUBLISHERS2019

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes

Ali H. Sayed, Stefan Vlaski, Bicheng Ying, Kun Yuan

In empirical risk optimization, it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better performance than implementations that rely on sampling the data uniformly. Recent works have pursued ju ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

On Generalized Primal-Dual Interior-Point Methods with Non-uniform Complementarity Perturbations for Quadratic Programming

Colin Neil Jones, Altug Bitlislioglu

This technical note discusses convergence conditions of a generalized variant of primal-dual interior point methods. The generalization arises due to the permitted case of having a non-uniform complementarity perturbation vector, which is equivalent to hav ...

2017

Superpixels and Polygons using Simple Non-Iterative Clustering

Sabine Süsstrunk, Radhakrishna Achanta

We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces connectivity from the start, requires lesser memory, and is faster. Relying on the superpixel bou ...

Ieee2017

Exploratory Topology Modelling of Form-Active Hybrid Structures

Mark Pauly, Anders Holden Deleuran

The development of novel form-active hybrid structures (FAHS) is impeded by a lack of modelling tools that allow for exploratory topology modelling of shaped assemblies. We present a flexible and real-time computational design modelling pipeline developed ...

Elsevier Science Bv2016

A Primal-dual Framework For Mixtures Of Regularisers

Volkan Cevher, Cosimo Aprile, Quoc Tran Dinh, Luca Baldassarre, Baran Gözcü

Effectively solving many inverse problems in engineering requires to leverage all possible prior information about the structure of the signal to be estimated. This often leads to tackling constrained optimization problems with mixtures of regularizers. Pr ...

2015

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

Dominique Bonvin, Grégory François

Real-time optimization (RTO) methods use measurements to offset the effect of uncertainty and drive the plant to optimality. Explicit RTO schemes, which are characterized by solving a static optimization problem repeatedly, typically require multiple itera ...

2013

Towards Predicting the Runtime of Iterative Analytics with PREDIcT

Anastasia Ailamaki, Adrian Daniel Popescu

Machine learning algorithms are widely used today for analytical tasks such as data cleaning, data categorization, or data filtering. At the same time, the rise of social media motivates recent uptake in large scale graph processing. Both categories of alg ...

EPFL2013

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Iterated function system

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Eigenmode Analysis in Plasmonics: Application to Second Harmonic Generation and Electron Energy Loss Spectroscopy

Iterative Learning Control of a Parallel Delta Robot

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes

On Generalized Primal-Dual Interior-Point Methods with Non-uniform Complementarity Perturbations for Quadratic Programming

Superpixels and Polygons using Simple Non-Iterative Clustering

Exploratory Topology Modelling of Form-Active Hybrid Structures

A Primal-dual Framework For Mixtures Of Regularisers

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation

Towards Predicting the Runtime of Iterative Analytics with PREDIcT

Graph Chatbot

Chat with Graph Search

Eigenmode Analysis in Plasmonics: Application to Second Harmonic Generation and Electron Energy Loss Spectroscopy

Iterative Learning Control of a Parallel Delta Robot

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

On Generalized Primal-Dual Interior-Point Methods with Non-uniform Complementarity Perturbations for Quadratic Programming

Stochastic Learning Under Random Reshuffling With Constant Step-Sizes

A Primal-dual Framework For Mixtures Of Regularisers

Towards Predicting the Runtime of Iterative Analytics with PREDIcT

Exploratory Topology Modelling of Form-Active Hybrid Structures

Superpixels and Polygons using Simple Non-Iterative Clustering

Use of Transient Measurements for Real-Time Optimization via Modifier Adaptation