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Basic Concepts in Computational Physics

Overview of attention for book
Cover of 'Basic Concepts in Computational Physics'

Table of Contents

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    Book Overview
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    Chapter 1 Some Basic Remarks
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    Chapter 2 Numerical Differentiation
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    Chapter 3 Numerical Integration
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    Chapter 4 The Kepler Problem
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    Chapter 5 Ordinary Differential Equations: Initial Value Problems
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    Chapter 6 The Double Pendulum
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    Chapter 7 Molecular Dynamics
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    Chapter 8 Numerics of Ordinary Differential Equations: Boundary Value Problems
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    Chapter 9 The One-Dimensional Stationary Heat Equation
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    Chapter 10 The One-Dimensional Stationary Schrödinger Equation
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    Chapter 11 Partial Differential Equations
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    Chapter 12 Pseudo-random Number Generators
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    Chapter 13 Random Sampling Methods
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    Chapter 14 A Brief Introduction to Monte-Carlo Methods
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    Chapter 15 The Ising Model
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    Chapter 16 Some Basics of Stochastic Processes
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    Chapter 17 The Random Walk and Diffusion Theory
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    Chapter 18 Markov -Chain Monte Carlo and the Potts Model
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    Chapter 19 Data Analysis
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    Chapter 20 Stochastic Optimization
Attention for Chapter 18: Markov -Chain Monte Carlo and the Potts Model
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