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Titlebook: Computational Physics; Simulation of Classi Philipp O.J. Scherer Textbook 2017Latest edition Springer Nature Switzerland AG 2017 Understand

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Supplementary Schools and Their Communities. But this is unpractical in many cases due to the increase in computing time and memory requirements. . Results from more complex operations like square roots or trigonometric functions can have even larger errors since series expansions have to be truncated and iterations can accumulate the errors of the individual steps.
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Error Analysis. But this is unpractical in many cases due to the increase in computing time and memory requirements. . Results from more complex operations like square roots or trigonometric functions can have even larger errors since series expansions have to be truncated and iterations can accumulate the errors of the individual steps.
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Interpolationge method. Newton’s method is numerically efficient if the polynomial has to be evaluated at many interpolating points and Neville’s method has advantages if the polynomial is not needed explicitly and has to be evaluated only at one interpolation point. Polynomials are not well suited for interpola
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Discretization of Differential Equationsregular grids. Finite differences and finite volumes belong to the general class of finite element methods which are prominent in the engineering sciences and use an expansion in piecewise polynomials with small support. Spectral methods, on the other hand, expand the solution as a linear combinatio
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