Quantum annealing is a combinatorial optimization technique inspired by quantum mechanics. Here we show that a spin model for the k-coloring of large dense random graphs can be field tuned so that its acceptance ratio diverges during Monte Carlo quantum annealing, until a ground state is reached. We also find that simulations exhibiting such a diverging acceptance ratio are generally more effec...

We present a maximum likelihood argument for the Bennett acceptance ratio method, and derive a simple formula for the variance of free energy estimates generated using this method. This derivation of the acceptance ratio method, using a form of logistic regression, a common statistical technique, allows us to shed additional light on the underlying physical and statistical properties of the met...

In this paper, several commonly used gage repeatability and reproducibility (R&R) acceptance criteria are discussed. The number of distinct categories (ndc) is equivalent to an acceptance criterion based on another standard metric, the ratio of the estimated measurement system standard deviation to the estimated overall standard deviation of the measurements. This implies that the criterion bas...

The classical version of simulated annealing is based on a cooling schedule. Generally, the initial temperature is set such that the acceptance ratio of bad moves is equal to a certain value χ0. In this paper, we first propose a simple algorithm to compute a temperature which is compatible with a given acceptance ratio. Then, we study the properties of the acceptance probability. It is shown th...

Conjugal transfer of the Agrobacterium tumefaciens nopaline-type Ti plasmid pTiC58 is induced by agrocinopines A and B, opines secreted by crown gall tumors induced by the bacterium. This regulation functions through the transcriptional repressor, AccR. However, actual transcription of the tra genes is regulated by autoinduction through the activator TraR and the substituted homoserine lactone ...

We investigate the power of migration in online scheduling for parallel identical machines. Our objective is to maximize the total processing time of accepted jobs. Once we decide to accept a job, we have to complete it before its deadline d that satisfies d ≥ (1 + ε) · p + r, where p is the processing time, r the submission time and the slack ε > 0 a system parameter. Typically, the hard case ...

Face Biometrics is a science of automatically identifying individuals based on their unique facial features. The paper presents neural network classifier(Radial Basis Function Network) to detect frontal views of faces. The curvelet transform, Linear Discriminant Analysis(LDA) are used to extract features from facial images first, and Radial Basis Function Network(RBFN) is used to classify the f...

In the beginning was the pub. This work was triggered by a pub conversation where the authors observed that many resumes list acceptance ratios of conferences where their papers appear, boasting the low acceptance ratio. The lower the ratio, better your paper looks. The list might look equally impressive if one listed the rejection ratio of conferences where ones paper was submitted and rejecte...