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Higher-Order Level-Set Method and Its Application in Biomolecular Surfaces Construction 被引量:2
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作者 chandrajit l. bajaj 徐国良 张琴 《Journal of Computer Science & Technology》 SCIE EI CSCD 2008年第6期1026-1036,共11页
We present a general framework for a higher-order spline level-set (HLS) method and apply this to biomolecule surfaces construction. Starting from a first order energy functional, we obtain a general level set formu... We present a general framework for a higher-order spline level-set (HLS) method and apply this to biomolecule surfaces construction. Starting from a first order energy functional, we obtain a general level set formulation of geometric partial differential equation, and provide an efficient approach to solving this partial differential equation using a C2 spline basis. We also present a fast cubic spline interpolation algorithm based on convolution and the Z-transform, which exploits the local relationship of interpolatory cubic spline coefficients with respect to given function data values. One example of our HLS method is demonstrated their individual atomic coordinates which is the construction of biomolecule and solvated radii as prerequisites. surfaces (an implicit solvation interface) with 展开更多
关键词 higher-order spline level-set geometric partial differential equation biomolecular surface
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INVERSION OF ELECTRON TOMOGRAPHY IMAGES USING L^2-GRADIENT FLOWS -- COMPUTATIONAL METHODS
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作者 Guoliang Xu Ming li +1 位作者 Ajay Gopinath chandrajit l. bajaj 《Journal of Computational Mathematics》 SCIE CSCD 2011年第5期501-525,共25页
In this paper, we present a stable, reliable and robust method for reconstructing a three dimensional density function from a set of two dimensional electric tomographic images. By minimizing an energy functional cons... In this paper, we present a stable, reliable and robust method for reconstructing a three dimensional density function from a set of two dimensional electric tomographic images. By minimizing an energy functional consisting of a fidelity term and a regularization term, an L^2-gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and an explicit Euler scheme in temporal direction. The experimental results show that the proposed method is efficient and effective. 展开更多
关键词 Computational Inversion RECONSTRUCTION Electric Tomography.
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