Publications related to Error function

A discussion on the paper "Role of porosity on the stiffness and stability of (001) surface of the nanogranular C-S-H gel"

This paper is a discussion of a recent publication by Sekkal and coworkers, which investigated the elasticity, cohesion, and stability of the C-S-H (001) surface as a function of porosity using molecular dynamics simulations. In our discussion, we highligh ...

Elsevier2017

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Non-convex, non-local functionals converging to the total variation

Hoài-Minh Nguyên

We present new results concerning the approximation of the total variation, integral(Omega)vertical bar del u vertical bar, of a function u by non-local, non-convex functionals of the form Lambda delta(u) = integral(Omega)integral(Omega)delta phi(vertical ...

Elsevier2017

Busy Man’s Synthesis: Combinational Delay Optimization With SAT

Giovanni De Micheli, Mathias Soeken

Boolean SAT solving can be used to find a minimum- size logic network for a given small Boolean function. This paper extends the SAT formulation to find a minimum-size network under delay constraints. Delay constraints are given in terms of input arrival t ...

Ieee2017

Stochastic Composite Least-Squares Regression with Convergence Rate O(1/n)

Nicolas Henri Bernard Flammarion

We consider the minimization of a function deﬁned on a Riemannian manifold M accessible only through unbiased estimates of its gradients. We develop a geometric framework to transform a sequence of slowly converging iterates generated from stochastic gradi ...

2017

Role of MCT1 and CAII in skeletal muscle pH homeostasis, energetics, and function: in vivo insights from MCT1 haploinsufficient mice

Pierre Magistretti, Sylvain Eric Lengacher, Luc Pellerin

The purpose of this study was to investigate the effects of a partial suppression of monocarboxylate transporter (MCT)-1 on skeletalmuscle pH, energetics, and function (MCT1(+/-) mice). Twenty-fourMCT1(+/-) and 13 wild-type (WT) mice were subjected to a re ...

Federation of American Society of Experimental Biology2017

Learning-based subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The present invention concerns a method of sampling a test signal. The method comprises: acquiring (21) training signals sampled at a plurality of sampling locations; running (23) an optimization procedure for determining an index set of n indices, represe ...

2017

Optimal Approximation for Submodular and Supermodular Optimization with Bounded Curvature

Justin Dean Ward

We design new approximation algorithms for the problems of optimizing submodular and supermodular functions subject to a single matroid constraint. Specifically, we consider the case in which we wish to maximize a monotone increasing submodular function or ...

INFORMS2017

Stable Simulation of Multiport Passive Distributed Networks Using Time Marching Method

Akiyoshi Tatematsu

In this paper, we present a stable method for simulating passive distributed networks connected to linear and nonlinear devices using the time marching (TM) method. The method is based on the use of the Z-transform for analyzing and obtaining the TM equati ...

Institute of Electrical and Electronics Engineers2017

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A discussion on the paper "Role of porosity on the stiffness and stability of (001) surface of the nanogranular C-S-H gel"

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Sampling at unknown locations, with an application in surface retrieval

Non-convex, non-local functionals converging to the total variation

Busy Man’s Synthesis: Combinational Delay Optimization With SAT

Stochastic Composite Least-Squares Regression with Convergence Rate O(1/n)

Role of MCT1 and CAII in skeletal muscle pH homeostasis, energetics, and function: in vivo insights from MCT1 haploinsufficient mice

Learning-based subsampling

Optimal Approximation for Submodular and Supermodular Optimization with Bounded Curvature

Stable Simulation of Multiport Passive Distributed Networks Using Time Marching Method

A discussion on the paper "Role of porosity on the stiffness and stability of (001) surface of the nanogranular C-S-H gel"

Non-convex, non-local functionals converging to the total variation

Role of MCT1 and CAII in skeletal muscle pH homeostasis, energetics, and function: in vivo insights from MCT1 haploinsufficient mice

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Busy Man’s Synthesis: Combinational Delay Optimization With SAT

Stochastic Composite Least-Squares Regression with Convergence Rate O(1/n)

Optimal Approximation for Submodular and Supermodular Optimization with Bounded Curvature

Stable Simulation of Multiport Passive Distributed Networks Using Time Marching Method

Sampling at unknown locations, with an application in surface retrieval

Learning-based subsampling