定多重积分计算的模块化技术:分析分析及效率的实验验证

V. Groppen, A. A. Berko
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引用次数: 1

摘要

分析了利用枚举程序计算重定积分的一种新方法。结果表明,该方法的有效性取决于以下几个因素:对计算精度的要求、被积函数的复杂性和待解问题的变量数量。提出的条件,使我们能够适应模块化枚举算法在数值参数,表征这些因素。自适应的目的是使搜索时间最小化。通过对蛮力算法和模枚举算法在计算多个定积分时的效率比较分析,得出以下结论:最优的模块数实际上等于2。这一结果与离散规划问题全局最优解的模枚举最优搜索模式相吻合。2. 用模数法计算定积分的时间增益η比用蛮力法计算同一定积分的时间增益η大于变量数n。变量n的数目越大,被积函数的复杂度越大,计算时间的增益就越大。实验验证了分析结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modular Technology of Definite Multiple Integrals Calculation: Analytical Analysis and Experimental Verification of Efficiency
Analyzed is a new approach to the use of enumeration procedures for calculation of definite multiple integrals. It is shown that the effectiveness of this approach depends on the following factors: on requirements for the accuracy of calculations, on complexity of the integrand and on the number of variables of the problem to be solved. Presented are the conditions that allow us to adapt the modular enumeration algorithms in relation to the numerical parameters, characterizing these factors. The aim of adaptation is to minimize the search time. Analytical analysis of the comparative efficiency of brute force and modular enumeration algorithms for calculating multiple definite integrals leads to the following results: 1. The optimal number of modules is really equal to two. This result coincides with the optimal search mode by modular enumeration of globally optimal solutions to discrete programming problems. 2. The gain in time η in the time of calculating a definite integral by modular technology compared with the time of calculating the same definite integral by brute force exceeds value of the number of variables n. 3. The greater is the number of variables n and the greater is the complexity of the integrand, the greater is the gain in computation time. Experimental verification of the analytical results obtained confirms their validity.
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