Sampling noisy intermediate-scale quantum devices is a fundamental step that converts coherent quantum-circuit outputs to measurement data for running variational algorithms utilize gradient and Hessian methods in cost-function optimization tasks. This step, however, introduces estimation errors the resulting or computations. To minimize these errors, we discuss tunable numerical estimators, wh...

We describe the algorithm, implementation and numerical tests of a multifluid dust module in Athena++ magnetohydrodynamic (MHD) code. The can accommodate an arbitrary number species interacting with gas via aerodynamic drag (characterized by stopping time), solvers. In particular, we two second-order accurate, two-stage, fully-implicit solvers that are stable stiff regimes including short time ...

Y. Balcer and S. A. Lippman (1984, J. Econ. Theory 34, 292 318) develop a model to analyze the ``buy or wait'' problem under technological change. They show that this dynamic problem has a threshold solution: if the difference between the best available technology and that currently held exceeds a certain threshold, then buy. They also claim that the threshold is increasing in the ``discovery p...

We study the complexity of the stock market by constructing ǫ-machines of Standard and Poor’s 500 index from February 1983 to April 2006 and by measuring the statistical complexities. It is found that both the statistical complexity and the number of causal states of constructed ǫ-machines have decreased for last twenty years and that the average memory length needed to predict the future optim...

This paper presents a new nonlinear mathematical model to solve a cell formation problem which assumes that processing time and inter-arrival time of parts are random variables. In this research, cells are defined as a queue system which will be optimized via queuing theory. In this queue system, each machine is assumed as a server and each part as a customer. The grouping of machines and parts...

This report introduces and illustrates the scope and the methodology of the complexity analysis process. It covers all related issues, and is completed with illustrative examples of application. Despites the misleading title, the actual complexity analysis of key building blocks is not part of this first version, but will be reported in the final D5.2b deliverable; this preliminary one has been...

a new structure learning approach for bayesian networks (bns) based on asexual reproduction optimization (aro) is proposed in this letter. aro can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. in aro, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...

During recent years the authors and collaborators have been involved in an activity related to the construction and analysis of large time step operator splitting algorithms for the numerical simulation of multi-phase ow in heterogeneous porous media. The purpose of these lecture notes is to review some of this activity. We illustrate the main ideas behind these novel operator splitting algorit...

Larynx cancer patients receive radiotherapy as a non-invasive alternative to surgery and cure rates are high. Inevitably this impacts vocal fold functional-ity. Hence, voice recovery as a prerequisite for resuming normal life is of special interest. Voicing recovery following radiotherapy is studied in this paper. Complexity analysis, using approximate entropy to concisely quantify the collecti...