Carlo Freiherr von Erlanger

Do Community Hospitals Need Dual - Energy CT ? BY GREG FREIHERR

Convergence Analysis of Markov Chain Monte Carlo Linear Solvers Using Ulam-von Neumann Algorithm

The convergence of Markov chain–based Monte Carlo linear solvers using the Ulam– von Neumann algorithm for a linear system of the form x = Hx + b is investigated in this paper. We analyze the convergence of the Monte Carlo solver based on the original Ulam–von Neumann algorithm under the conditions that ‖H‖ < 1 as well as ρ(H) < 1, where ρ(H) is the spectral radius of H. We find that although t...

John von Neumann Institute for Computing Quantum Monte Carlo Simulations of Strong Correlations

c © 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher ment...

Entwicklung eines Monte-Carlo-Verfahrens zum selbständigen Lernen von Gauß-Mischverteilungen

Improving risk stratification in patients with chest pain: the Erlanger HEARTS3 score.

BACKGROUND The HEART score uses elements from patient History, Electrocardiogram, Age, Risk Factors, and Troponin to obtain a risk score on a 0- to 10-point scale for predicting acute coronary syndromes (ACS). This investigation seeks to improve on the HEART score by proposing the HEARTS(3) score, which uses likelihood ratio analysis to give appropriate weight to the individual elements of the ...