Reconstruction simplified

A Simplified Formulation of the Flux Reconstruction Method

The flux reconstruction (FR) methodology has proved to be an attractive approach to obtaining high-order solutions to hyperbolic partial differential equations. However, the utilization of somewhat arbitrarily defined correction polynomials in the application of these schemes, while adding some flexibility, detracts from their ease of implementation and computational efficiency. This paper desc...

A Simplified Linear Model for Reconstruction of Gene Regulatory Networks

Many inference methods have been proposed to reconstruct unknown Gene Regulatory Networks (GRN) using microarray datasets. State Space Model (SSM) is a method that can be used to infer GRNs from a time series dataset. However, there exist two difficulties in SSM when it is applied for GRN reconstruction: how to estimate initial values of parameters and how to learn the genegene interactions in ...

Automatic Layered 3D Reconstruction of Simplified Object Models for Grasping

Most grasping systems require complete CAD models as input, but building these models automatically is not straightforward. We propose a strategy for approximating complete models of previously unknown objects from a single 3D scan of a cluttered scene. We achieve this by exploiting common symmetries in objects of daily use, and by handling overand under-segmentation issues. The idea is to use ...

Piecewise Polynomial Reconstruction of Functions from Simplified Morse-Smale complex

Simulation of phenomena like climate often deals with large datasets. A process to extract the most salient features is needed to assist in the understanding of the dataset. The Morse-Smale (MS) complex is a topological structure defined on scalar functions which extracts critical points of the function and the links between them. Furthermore, it encodes a hierarchy between critical points, and...

A simplified technique for the management of fat necrosis in autologous breast reconstruction.