Publications associées à Contrainte (mathématiques)

Biokinetic Model Identification via Extents of Reaction

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Model structure selection and parameter identification for biokinetic modeling of biological wastewater treatment processes is broadly accepted to be a complicated task. Contributing factors include (i) nonlinear behavior, (ii) lack of knowledge, (iii) lac ...

2016

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Dominique Bonvin, Grégory François, Sean Costello

The steady advances of computational methods make model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. The traditional remedy is to update the model parameters, but th ...

Elsevier2016

Submodular Stochastic Probing on Matroids

Justin Dean Ward, Marek Adamczyk

In a stochastic probing problem we are given a universe E, and a probability that each element e in E is active. We determine if an element is active by probing it, and whenever a probed element is active, we must permanently include it in our solution. Mo ...

INFORMS2016

Memetic Viability Evolution for Constrained Optimization

Dario Floreano, Andrea Maesani, Giovanni Iacca

The performance of evolutionary algorithms can be heavily undermined when constraints limit the feasible areas of the search space. For instance, while Covariance Matrix Adapta- tion Evolution Strategy is one of the most efficient algorithms for unconstrai ...

Institute of Electrical and Electronics Engineers2016

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Robert Gerhard Jérôme Luce

Nonnegative matrix factorization (NMF) can be computed efficiently under the separability assumption, which asserts that all the columns of the input data matrix belong to the convex cone generated by only a few of its columns. The provably most robust met ...

MATHICSE2016

Low EMI signaling for parallel conductor interfaces

Mohammad Amin Shokrollahi, Nicolae Chiurtu

Methods are disclosed for creation of vector signaling codes having reduced or minimized electromagnetic emissions when transmitted over multiple conductor communications media such as microstrip channels. Particular code formulation constraints are shown ...

2016

Nonlinear Model Predictive Control for Constrained Output Path Following

Timm Faulwasser

We consider the tracking of geometric paths in output spaces of nonlinear systems subject to input and state constraints without pre-specified timing requirements. Such problems are commonly referred to as constrained output path-following problems. Specif ...

Institute of Electrical and Electronics Engineers2016

Multiple-field based code generator and decoder for communications systems

Mohammad Amin Shokrollahi, Lorenz Minder

A method of encoding data for transmission from a source to a destination over a communications channel is provided. The method operates on an ordered set of input symbols and includes generating a plurality of redundant symbols from the input symbols base ...

2016

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Contrainte (mathématiques)

Distributed learning over multitask networks with linearly related tasks

Biokinetic Model Identification via Extents of Reaction

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Submodular Stochastic Probing on Matroids

Memetic Viability Evolution for Constrained Optimization

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Low EMI signaling for parallel conductor interfaces

Nonlinear Model Predictive Control for Constrained Output Path Following

Stochastic MPC for Controlling the Average Constraint Violation for Periodic Linear System with Additive Disturbance

Multiple-field based code generator and decoder for communications systems

Graph Chatbot

Chattez avec Graph Search

MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary

Biokinetic Model Identification via Extents of Reaction

Nonlinear Model Predictive Control for Constrained Output Path Following

Distributed learning over multitask networks with linearly related tasks

Submodular Stochastic Probing on Matroids

Stochastic MPC for Controlling the Average Constraint Violation for Periodic Linear System with Additive Disturbance

Multiple-field based code generator and decoder for communications systems

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Memetic Viability Evolution for Constrained Optimization

Low EMI signaling for parallel conductor interfaces