A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a new iterative optimisation technique which both balances the workload and attempts to minimise the interprocessor communications overhead. Experiments on a series of adaptively refinedmeshes indicate that the algorithmprovides partitions of an equivalent or higher quality to static partitioners ...

Inside-out algorithms provide the ability to generate all hexahedral meshes by first introducing a structured mesh that bounds the complete body modeled, then secondly by manipulating the exterior of this structured mesh to fit the specific boundary of the body. Such algorithms generally provide high quality meshes on the interior of the body but suffer with lower quality elements on the bounda...

We demonstrate the feasibility of using a nonconforming nite element method on an unstructured grid in solving a magnetospheric physics problem. We use this approach to construct a global discrete model of the magnetic eld of the magnetosphere that includes the eeects of shielding currents at the outer boundary (the magnetopause). As in the approach of 17] the internal magnetospheric eld model ...

Quality early warning and proactive customer churn detection are two examples of applications that can benefit from insights gained from unstructured text data. The term “Unstructured Business Intelligence” describes methods and tools that enable data warehouse applications to use unstructured information. This article introduces the key components of Unstructured Business Intelligence and desc...

Natively unstructured or disordered protein regions may increase the functional complexity of an organism; they are particularly abundant in eukaryotes and often evade structure determination. Many computational methods predict unstructured regions by training on outliers in otherwise well-ordered structures. Here, we introduce an approach that uses a neural network in a very different and nove...