Publications related to Exact Diffusion for Distributed Optimization and Learning---Part II: Convergence Analysis

Fréchet means in Wasserstein space

This work studies the problem of statistical inference for Fréchet means in the Wasserstein space of measures on Euclidean spaces,

\mathcal W_2 ( \mathbb R^d )

. This question arises naturally from the problem of separating amplitude and phase variation i ...

EPFL2017

Exact diffusion strategy for optimization by networked agents

Ali H. Sayed, Bicheng Ying, Kun Yuan

This work develops a distributed optimization algorithm with guaranteed exact convergence for a broad class of left-stochastic combination policies. The resulting exact diffusion strategy is shown to have a wider stability range and superior convergence pe ...

IEEE2017

Multi-Objective Optimization Programs and their Application to Amine Absorption Process Design for Natural Gas Sweetening

François Maréchal, Shivom Sharma

This chapter presents three MS Excel programs, namely, EMOO (Excel based Multi-Objective Optimization), NDS (Non-Dominated Sorting) and PM (Performance Metrics) useful for Multi-Objective Optimization (MOO) studies. The EMOO program is for finding non-domi ...

Rangaiah G. P.2017

Comparative assessment of selected sugarcane biorefinery-centered systems in Brazil: A multi-criteria method based on sustainability indicators

Edgard Gnansounou, Elia Mercedes Ruiz Pachon, Pavel Vaskan, Catarina Marciano Alves

This work proposes a new sustainability assessment framework aiming to compare selected options of biorefineries subject to provide the same services to a community. At this end, a concept of biorefinery-centered system helps to develop a joint resources a ...

Elsevier2017

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Fabio Nobile, Lorenzo Tamellini

We analyze the recent Multi-index Stochastic Collocation (MISC) method for computing statistics of the solution of a partial differential equation (PDE) with random data, where the random coefficient is parametrized by means of a countable sequence of term ...

2016

Analysis and computation of the elastic wave equation with random coefficients

Fabio Nobile

We analyze the stochastic initial-boundary value problem for the elastic wave equation with random coefficients and deterministic data. We propose a stochastic collocation method for computing statistical moments of the solution or statistics of some given ...

2015

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Dominique Bonvin, Grégory François, Sean Costello

This paper applies a novel two-layer optimizing control scheme to a kite-control benchmark problem. The upper layer is a recent real-time optimization algorithm, called Directional Modifier Adaptation, which represents a variation of the popular Modifier A ...

IEEE2015

Quantization Design for Unconstrained Distributed Optimization

Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger

We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...

2015

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Martin Kurt Storath

We investigate the nonsmooth and nonconvex

L ^{ 1 }

-Potts functional in discrete and continuous time. We show Γ-convergence of discrete

L ^{ 1 }

-Potts functionals toward their continuous counterpart and obtain a convergence statement for the corr ...

SIAM2015

Speed Profile Optimization for Vehicles Crossing an Intersection Under a Safety Constraint

Denis Gillet

This paper considers the case of two vehicles crossing an intersection from perpendicular directions. A second-order kinematic model is assumed as well as that initially both vehicles move with their maximum permissible speed. A braking/reaccelerating spee ...

Ieee2014

Exact Diffusion for Distributed Optimization and Learning---Part II: Convergence Analysis

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Fréchet means in Wasserstein space

Exact diffusion strategy for optimization by networked agents

Multi-Objective Optimization Programs and their Application to Amine Absorption Process Design for Natural Gas Sweetening

Comparative assessment of selected sugarcane biorefinery-centered systems in Brazil: A multi-criteria method based on sustainability indicators

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Analysis and computation of the elastic wave equation with random coefficients

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Quantization Design for Unconstrained Distributed Optimization

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Speed Profile Optimization for Vehicles Crossing an Intersection Under a Safety Constraint

Exact diffusion strategy for optimization by networked agents

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Analysis and computation of the elastic wave equation with random coefficients

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

Quantization Design for Unconstrained Distributed Optimization

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Speed Profile Optimization for Vehicles Crossing an Intersection Under a Safety Constraint

Fréchet means in Wasserstein space

Multi-Objective Optimization Programs and their Application to Amine Absorption Process Design for Natural Gas Sweetening

Comparative assessment of selected sugarcane biorefinery-centered systems in Brazil: A multi-criteria method based on sustainability indicators