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Fixed typos
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about.html

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@@ -281,7 +281,7 @@ <h2>Planned Topics</h2>
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<li>Orbits (basically, shooting balls out of a cannon at different altitudes and velocities)</li>
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<li>SIR Model of Pandemic spread</li>
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<li>Boltzmann Distribution in a randomized exchange lattice</li>
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<li>Solve Travelling Salesman using Genetic ALgorithm, Simulated Annealing and Ant-Colony Optimization</li>
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<li>Solve Travelling Salesman using Genetic Algorithm, Simulated Annealing and Ant-Colony Optimization</li>
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<li>Raycasting</li>
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</ol>
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gradient_descent/simulation.html

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<html lang="en-US">
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<head>
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<title>Gradient Descent| Visualize It</title>
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<title>Gradient Descent | Visualize It</title>
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<meta charset="utf-8" />
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<meta http-equiv="X-UA-Compatible" content="IE=edge" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />

ising_model/simulation.html

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The energy of a lattice is calculated using the following formula:
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\[ E = - J \sum_{\lt ij \gt} s_i s_j \]
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In every Monte-Carlo step, a random spin is chosen and flipped. The change in energy of the system (\( \Delta E
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\)) is calculated. If energy has decreased, then the flip is accepted. If energy has increases, then the flip is
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\)) is calculated. If energy has decreased, then the flip is accepted. If energy has increased, then the flip is
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accepted with a probability of:
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\[ P = \exp\left(\frac{-\Delta E}{k_B T}\right) \]
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This set of steps is known as the Metropolis algorithm. Higher temperature encourages unfavourable spins, thereby

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