Publications related to When crowding of crowding leads to uncrowding

ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Dominique Bonvin, Julien Léo Billeter, Michael Amrhein

Multivariate curve resolution via alternating least squares (ALS) is used to resolve the concentration profiles C and the pure component spectra E of S species from the multivariate absorbance data A, assuming the bilinear model ...

2016

Towards More Accurate and Efficient Beamformed Radio Interferometry Imaging

Matthieu Martin Jean-André Simeoni

The Square Kilometre Array (SKA) will form the largest radio telescope ever built, generating on the order of one terabyte of data per second. To reduce the data flow sent to the central processor, hierarchical designs have been proposed: the data is prima ...

2015

From averaging to acceleration, there is only a step-size

Nicolas Henri Bernard Flammarion

We consider the optimization of a quadratic objective function whose gradients are only accessible through a stochastic oracle that returns the gradient at any given point plus a zero-mean finite variance random error. We present the first algorithm that a ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Adaptive polynomial approximation by means of random discrete least squares

Giovanni Migliorati

We address adaptive multivariate polynomial approximation by means of the discrete least-squares method with random evaluations, to approximate in the L2 probability sense a smooth function depending on a random variable distributed according to a given pr ...

Springer2015

Forecasting Uncertainty in Electricity Demand

Tri Kurniawan Wijaya

Generalized Additive Models (GAM) are a widely popular class of regression models to forecast electricity demand, due to their high accuracy, flexibility and interpretability. However, the residuals of the fitted GAM are typically heteroscedastic and lepto ...

2015

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Elena Cogato Lanza

This paper deals with the ambivalent character of the neighborhood «Squares Montchoisy» built in Geneva between 1929 and 1957. According to visual representations (photographs and drawings) disseminated by the architect Maurice Braillard, the project embod ...

2014

Randomized Extended Kaczmarz For Solving Least Squares

Nikolaos Freris

We present a randomized iterative algorithm that exponentially converges in the mean square to the minimum l(2)-norm least squares solution of a given linear system of equations. The expected number of arithmetic operations required to obtain an estimate o ...

Society for Industrial and Applied Mathematics2013

When crowding of crowding leads to uncrowding

Michael Herzog, Mauro Manassi

In peripheral crowding, target perception can be strongly deteriorated by nearby flankers. What happens if flanker “A” crowds flanker “B” and “B” crowds target “C”? At 9° eccentricity, we determined offset discrimination thresholds for verniers. When the v ...

2012

When crowding of crowding leads to uncrowding

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ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Towards More Accurate and Efficient Beamformed Radio Interferometry Imaging

From averaging to acceleration, there is only a step-size

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Adaptive polynomial approximation by means of random discrete least squares

Forecasting Uncertainty in Electricity Demand

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Randomized Extended Kaczmarz For Solving Least Squares

When crowding of crowding leads to uncrowding

ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Towards More Accurate and Efficient Beamformed Radio Interferometry Imaging

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Forecasting Uncertainty in Electricity Demand

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Randomized Extended Kaczmarz For Solving Least Squares

From averaging to acceleration, there is only a step-size

When crowding of crowding leads to uncrowding

Adaptive polynomial approximation by means of random discrete least squares

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations