An FPTAS for computing the similarity of three-dimensional point sets

被引:2
|
作者
Kirchner, Stefan [1 ]
机构
[1] Humboldt Univ, Inst Informat, D-10099 Berlin, Germany
关键词
approximation algorithm; combinational optimization; FPTAS;
D O I
10.1142/S0218195907002288
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We present an FPTAS for a combinatorial optimization problem which is motivated a problem in drug-design. The problem is as follow. One is given two finite subsets A, B of points in three-dimensional space which represent the centers of atoms of two molecules. The objective function is large if there are an appropriate rigid motion M, subset S subset of A and T subset of B of the same size and a bijective function f from S to M(T) such that vertical bar S vertical bar is sufficiently large and the root mean squared distance between S and f(S) is small. The object is to find M and f such that the objective function is maximized. The corresponding maximum value defines the similarity score between two molecules.
引用
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页码:161 / 174
页数:14
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