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A Brief Overview of the State-of-the-Practice and Current Challenges of Solution Verification

机译:解决方案验证的现状和当前挑战的简要概述

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摘要

The main goal of solution verification is to assess the convergence of numerical predictions as a function of discretization variables such as element size Δx or time step Δt. The challenge is to verify that the approximate solutions of the discretized conservation laws or equations-of-motion converge to the solution of the continuous equations. In the case of code verification where the continuous solution of a test problem is known, common practice is to obtain several discrete solutions from successively refined meshes or grids; calculate norms of the solution error; and verify the rate with which discrete solutions converge to the continuous solution.
机译:解决方案验证的主要目标是根据离散化变量(例如元素大小Δx或时间步长Δt)来评估数值预测的收敛性。挑战在于验证离散守恒律或运动方程的近似解是否收敛于连续方程的解。在代码验证的情况下,已知测试问题的连续解,通常的做法是从连续精炼的网格或网格中获得几个离散的解。计算解法误差的范数;并验证离散解与连续解的收敛速度。

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