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Titlebook: Basic Concepts in Computational Physics; Benjamin A. Stickler,Ewald Schachinger Textbook 2016Latest edition Springer Nature Switzerland AG

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Partial Differential Equations As an example of elliptic partial differential equations the two-dimensional . equation with . boundary conditions is investigated. The application of the finite difference approximation transforms this equation into a set of algebraic equations which can be solved iteratively. The time dependent h
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Random Sampling Methodsmpling method, the inverse transformation method, the rejection method, and the method of probability mixing. All these methods are based on random numbers generated by pseudo random number generators which obey a uniform distribution. The quality of the generated random numbers is tested by means o
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The , Modelescribes an .-dimensional spin 1∕2 lattice which can undergo phase transitions from a ferromagnetic/antiferromagnetic (ordered spins) to a paramagnetic state (unordered spins) with increasing system temperature. The model can be solved analytically in one and two dimensions and the corresponding ana
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Textbook 2016Latest edition solving complex mathematical problems and for the direct simulation of physical processes.. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration,
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Textgenese und Darstellungskonzept, the finite difference approximation. All these methods violate due to their methodological error energy conservation, an important requirement of physics. This, finally, guides us to the so-called symplectic integrators.
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https://doi.org/10.1007/b108487to measure the observables of interest. Important problems of the simulation like initialization, thermalization, finite size effects, measurement of observables, and the prevention of correlations between subsequent spin configurations are discussed in detail.
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