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首页> 外文期刊>Bulletin of the American Mathematical Society >A review of numerical methods for nonlinear partial differential equations
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A review of numerical methods for nonlinear partial differential equations

机译:非线性偏微分方程数值方法综述。

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摘要

Numerical methods were first put into use as an effective tool for solving partial differential equations (PDEs) by John von Neumann in the mid-1940s. In a 1949 letter von Neumann wrote "the entire computing machine is merely one component of a greater whole, namely, of the unity formed by the computing machine, the mathematical problems that go with it, and the type of planning which is called by both." The "greater whole" is viewed today as scientific computation: over the past sixty years, scientific computation has emerged as the most versatile tool to complement theory and experiments, and numerical methods for solving PDEs are at the heart of many of today's advanced scientific computations. Numerical solutions found their way from financial models on Wall Street to traffic models on Main Street. Here we provide a bird's eye view on the development of these numerical methods with a particular emphasis on nonlinear PDEs.
机译:约翰·冯·诺伊曼(John von Neumann)在1940年代中期首先使用数值方法作为求解偏微分方程(PDE)的有效工具。冯·诺伊曼(von Neumann)在1949年的一封信中写道:“整个计算机只是更大整体的一个组成部分,即,由计算机形成的整体,随之而来的数学问题以及两者所称的计划类型。”今天,“更大的整体”被视为科学计算:在过去的六十年中,科学计算已成为对理论和实验进行补充的最通用的工具,而求解PDE的数值方法是当今许多先进科学计算的核心。数值解决方案从华尔街的金融模型到主街的交通模型找到了途径。在这里,我们对这些数值方法的发展提供了鸟瞰图,尤其着重于非线性PDE。

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