Publications related to Double exponential function

Low-rank tensor methods for large Markov chains and forward feature selection methods

Francisco Santos Paredes Quartin de Macedo

In the first part of this thesis, we present and compare several approaches for the determination of the steady-state of large-scale Markov chains with an underlying low-rank tensor structure. Such structure is, in our context of interest, associated with ...

EPFL2018

Small Extended Formulation for Knapsack Cover Inequalities from Monotone Circuits

Ola Nils Anders Svensson, Abbas Bazzi, Sangxia Huang

Initially developed for the min-knapsack problem, the knapsack cover inequalities are used in the current best relaxations for numerous combinatorial optimization problems of covering type. In spite of their widespread use, these inequalities yield linear ...

UNIV CHICAGO, DEPT COMPUTER SCIENCE2018

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime

Ali H. Sayed

This paper examines the close interplay between cooperation and adaptation for distributed detection schemes over fully decentralized networks. The combined attributes of cooperation and adaptation are necessary to enable networks of detectors to continual ...

Institute of Electrical and Electronics Engineers2016

Scalable scheduling of energy control systems

Xuan Truong Nghiem

Peak power consumption is a universal problem across energy control systems in electrical grids, buildings, and industrial automation where the uncoordinated operation of multiple controllers result in temporally correlated electricity demand surges (or pe ...

IEEE Press2015

Enumeration-based approach to solving parametric linear complementarity problems

Colin Neil Jones

This paper presents a solution method for parametric linear complementarity problems (PLCP) that relies on an enumeration technique to discover all feasible bases. The enumeration procedure is based on evaluating all possible combinations of active constra ...

Elsevier2015

Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

Boi Faltings, Immanuel Trummer

The goal of multi-objective quality-driven service selection (QDSS) is to find service selections for a workflow whose quality-of-service (QoS) values are Pareto-optimal. We consider multiple QoS attributes such as response time, cost, and reliability. A s ...

Institute of Electrical and Electronics Engineers2014

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

Rüdiger Urbanke, Seyed Hamed Hassani, Marco Mondelli

We explore the relationship between polar and RM codes and we describe a coding scheme which improves upon the performance of the standard polar code at practical block lengths. Our starting point is the experimental observation that RM codes have a smalle ...

Ieee2014

From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance

Rüdiger Urbanke, Seyed Hamed Hassani, Marco Mondelli

We explore the relationship between polar and RM codes and we describe a coding scheme which improves upon the performance of the standard polar code at practical block lengths. Our starting point is the experimental observation that RM codes have a smalle ...

Ieee-Inst Electrical Electronics Engineers Inc2014

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

Rüdiger Urbanke, Seyed Hamed Hassani, Marco Mondelli

We explore the relationship between polar and RM codes and we describe a coding scheme which improves upon the performance of the standard polar code at practical block lengths. Our starting point is the experimental observation that RM codes have a smalle ...

2014

Weighted Averages and Double Exponential Algorithms

Juan Ramon Mosig

This paper reviews two simple numerical algorithms particularly useful in Computational ElectroMagnetics (CEM): the Weighted Averages (WA) algorithm and the Double Exponential (DE) quadrature. After a short historical introduction and an elementary descrip ...

Ieice-Inst Electronics Information Communications Eng2013

Double exponential function

Low-rank tensor methods for large Markov chains and forward feature selection methods

Small Extended Formulation for Knapsack Cover Inequalities from Monotone Circuits

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime

Scalable scheduling of energy control systems

Enumeration-based approach to solving parametric linear complementarity problems

Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

Weighted Averages and Double Exponential Algorithms

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Multi-Objective Quality-Driven Service Selection-A Fully Polynomial Time Approximation Scheme

Enumeration-based approach to solving parametric linear complementarity problems

Weighted Averages and Double Exponential Algorithms

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

Low-rank tensor methods for large Markov chains and forward feature selection methods

Small Extended Formulation for Knapsack Cover Inequalities from Monotone Circuits

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime

Scalable scheduling of energy control systems

From Polar to Reed-Muller Codes: a Technique to Improve the Finite-Length Performance

From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance