Publications related to Learning to Remove Cuts in Integer Linear Programming

Mixed-Logic Dynamical System Modeling of Sigma Delta-Modulators and its Application to Stability Analysis

In this paper, a novel model for single-bit internal quantizer Sigma Delta-modulators is presented. It is shown that this model can be used for an exact stability prediction of these systems. Furthermore, it is explained how the necessary computations can ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Fast, quasi-optimal, and pipelined instruction-set extensions

Paolo Ienne, Philip Brisk, Ajay Kumar Verma

Nowadays many customised embedded processors offer the possibility of speeding up an application by implementing it using Application-Specific Functional units (AFUs). However, the AFUs must satisfy certain constraints in terms of read and write ports betw ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Compressive Sensing For Sensor Calibration

Volkan Cevher

We consider a calibration problem, where we determine an unknown sensor location using the known track of a calibration target and a known reference sensor location. We cast the calibration problem as a sparse approximation problem where the unknown sensor ...

2008

Average case analysis of multichannel sparse approximations using p- thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces

p

-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latte ...

2007

Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces p-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latter ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2007

Average case analysis of multichannel thresholding

Pierre Vandergheynst, Rémi Gribonval, Karin Schnass

This paper introduces p-thresholding, an algorithm to compute simultaneous sparse approximations of multichannel signals over redundant dictionaries. We work out both worst case and average case recovery analyses of this algorithm and show that the latter ...

2007

Mapping task-graphs on distributed ECU networks: Efficient algorithms for feasibility and optimality

Friedrich Eisenbrand, Gennady Shmonin

This mapping problem has to be solved in many application scenarios. In the automotive industry, for example, the implementation of car functions involves distributed task sets running on multiple electronic control units (ECU) with bus-based inter-task co ...

2006

Network formulations of mixed-integer programs

Friedrich Eisenbrand, Marco Di Summa

Network formulations of mixed-integer programs ...

2006

Optimal water allocation for an alpine hydropower system under changing scenarios

Paolo Perona

The operating rules of water allocation in the alpine OFIMA hydropower network of the Maggia River basin (Canton Tessin, Switzerland) are investigated in response to changes in the production policy and environmental and climatic factors. The study was car ...

Springer Verlag2006

Rigorous solution techniques for numerical constraint satisfaction problems

Xuan-Ha Vu

A constraint satisfaction problem (e.g., a system of equations and inequalities) consists of a finite set of constraints specifying which value combinations from given variable domains are admitted. It is called numerical if its variable domains are contin ...

EPFL2005

Learning to Remove Cuts in Integer Linear Programming

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Mixed-Logic Dynamical System Modeling of Sigma Delta-Modulators and its Application to Stability Analysis

Fast, quasi-optimal, and pipelined instruction-set extensions

Compressive Sensing For Sensor Calibration

Average case analysis of multichannel sparse approximations using p- thresholding

Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Average case analysis of multichannel thresholding

Mapping task-graphs on distributed ECU networks: Efficient algorithms for feasibility and optimality

Network formulations of mixed-integer programs

Optimal water allocation for an alpine hydropower system under changing scenarios

Rigorous solution techniques for numerical constraint satisfaction problems

Fast, quasi-optimal, and pipelined instruction-set extensions

Rigorous solution techniques for numerical constraint satisfaction problems

Optimal water allocation for an alpine hydropower system under changing scenarios

Mixed-Logic Dynamical System Modeling of Sigma Delta-Modulators and its Application to Stability Analysis

Average case analysis of multichannel thresholding

Average case analysis of multichannel sparse approximations using p- thresholding

Mapping task-graphs on distributed ECU networks: Efficient algorithms for feasibility and optimality

Average case analysis of multichannel sparse approximations using p-thresholding - art. no. 67011X

Network formulations of mixed-integer programs

Compressive Sensing For Sensor Calibration