Computational Physics

  1. Monte Carlo Methods
    1. Random Number Generation
      1. Pseudorandom Generators
        1. Linear Congruential Generators
          1. Mersenne Twister
            1. Testing Random Numbers
            2. Sampling Methods
              1. Inverse Transform Method
                1. Rejection Method
                  1. Box-Muller Transform
                  2. Markov Chain Monte Carlo
                    1. Markov Chains
                      1. Detailed Balance
                        1. Ergodicity
                          1. Metropolis Algorithm
                            1. Metropolis-Hastings Algorithm
                            2. Advanced Sampling Techniques
                              1. Importance Sampling
                                1. Stratified Sampling
                                  1. Antithetic Variates
                                  2. Applications
                                    1. Integration
                                      1. Optimization
                                        1. Statistical Physics
                                          1. Quantum Monte Carlo

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                                        11. Partial Differential Equations

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                                        13. Molecular Dynamics