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Titlebook: An Introductory Guide to Computational Methods for the Solution of Physics Problems; With Emphasis on Spe George Rawitscher,Victo dos Santo

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發(fā)表于 2025-3-21 18:49:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Introductory Guide to Computational Methods for the Solution of Physics Problems
期刊簡稱With Emphasis on Spe
影響因子2023George Rawitscher,Victo dos Santos Filho,Thiago Ca
視頻videohttp://file.papertrans.cn/156/155614/155614.mp4
發(fā)行地址Emphasizes some advantages of spectral methods.Includes a comparison with finite element and finite difference methods.Includes programs in MATLAB to implement the algorithms
圖書封面Titlebook: An Introductory Guide to Computational Methods for the Solution of Physics Problems; With Emphasis on Spe George Rawitscher,Victo dos Santo
影響因子This monograph presents fundamental aspects of modern spectral and other computational methods, which are not generally?.taught in traditional courses. It emphasizes concepts as errors, convergence, stability, order and efficiency applied to?.the solution of physical problems. The spectral methods consist in expanding the function to be calculated into a set of?.appropriate basis functions (generally orthogonal polynomials) and the respective expansion coefficients are obtained via?.collocation equations. The main advantage of these methods is that they simultaneously take into account all available?.information, rather only the information available at a limited number of mesh points. They require more complicated?.matrix equations than those obtained in finite difference methods. However, the elegance, speed, and accuracy of the?.spectral methods more than compensates for anysuch drawbacks.?.During the course of the monograph, the authors examine the usually rapid convergence of the spectral expansions and?.the improved accuracy that results when nonequispaced support points are used, in contrast to the equispaced points?.used in finite difference methods. In particular, they dem
Pindex Book 2018
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發(fā)表于 2025-3-22 00:00:23 | 只看該作者
Galerkin and Collocation Methods,ectral” methods, where the main emphasis is placed on establishing procedures to obtain the expansion coefficients. In this chapter, we present and compare two such methods: the Galerkin and the Collocation methods, with considerations about the nature of the support points employed by each.
板凳
發(fā)表于 2025-3-22 04:00:40 | 只看該作者
Convergence of Spectral Approximations,ctral” methods that consist in expanding the solution to a particular problem in terms of a set of basis functions. We initially present theorems about the convergence of Fourier transforms, alongside with the accuracy of a Fourier spectral differentiation. Next, we present theorems concerning the c
地板
發(fā)表于 2025-3-22 07:45:24 | 只看該作者
Chebyshev Polynomials as Basis Functions,pressions in terms of the powers of the variable ., where ., and the mesh points required for the Gauss–Chebyshev integration expression described in Chap.?.. We also point out the advantage of the expansion into this set of functions, as their truncation error is spread uniformly across the . inter
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The Integral Equation Corresponding to a Differential Equation,the advantages of working with the integral equation, called Lippmann–Schwinger (L–S). We show how a numerical solution of such an equation can be obtained by expanding the wave function in terms of Chebyshev polynomials, and give an example for a simple one-dimensional Schr?dinger equation. This me
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發(fā)表于 2025-3-22 15:01:22 | 只看該作者
Spectral Finite Element Method, polynomials called discrete variable representation (DVR). The coefficients of the expansion are obtained by a Galerkin method. When the radial domain is subdivided into contiguous partitions, the total procedure is called the spectral finite element method (FE-DVR). In each partition (or finite el
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The Phase-Amplitude Representation of a Wave Function,ction is described in an efficient way by its amplitude .(.) and the wave phase .. Since each of these quantities vary monotonically and slowly with distance, they are much easier to calculate than the wave function itself. An iterative method to solve the non-linear equation for . is described, and
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