演化方程控制问题的最优解技术

J.S. Apanapudor, J. Umukoro, F.Z. Okwonu, N. Okposo
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引用次数: 0

摘要

文献中存在许多最优解技术,并已被用于求解优化问题。然而,在这项工作中,两种最优解技术即最陡下降法(SDM)和扩展共轭梯度法(ECGM)应用于两个进化方程,以确定哪种最接近系统的解析解。比较了SDM和ECGM的最优解和收敛性。在此过程中,使用Liberty基本编程语言(LBPL)对技术的各个算法执行各种数值迭代。结果表明,与ECGM相比,SDM是一种更好的求解方法。
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Optimal solution techniques for control problem of evolution equations
A lot of optimal solution techniques exist in literature and have been employed to solve optimization problems. However, in this work, two optimal solution techniques namely the Steepest Descent Method (SDM) and the Extended Conjugate Gradient Method (ECGM) were applied to two evolution equations to determine which best approximates the system to its analytic solution. Comparisons were also carried out between the SDM and the ECGM for optimal solution and convergence. In doing so, the Liberty Basic Programming Language (LBPL) was employed to perform various numerical iterations on the respective algorithms of the techniques. It was discovered that the SDM proved to be a better technique in obtaining an optimal solution than the ECGM.
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