125 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
			
		
		
	
	
			125 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
| <!doctype html>
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| <html lang="en">
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| 
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| 	<head>
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| 		<meta charset="utf-8">
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| 
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| 		<title>reveal.js - The HTML Presentation Framework</title>
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| 
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| 		<meta name="description" content="A framework for easily creating beautiful presentations using HTML">
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| 		<meta name="author" content="Hakim El Hattab">
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| 
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| 		<meta name="apple-mobile-web-app-capable" content="yes" />
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| 		<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
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| 
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| 		<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
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| 
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| 		<link rel="stylesheet" href="../css/reveal.min.css">
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| 		<link rel="stylesheet" href="../css/theme/night.css" id="theme">
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| 
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| 		<!-- For syntax highlighting -->
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| 		<link rel="stylesheet" href="../lib/css/zenburn.css">
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| 
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| 		<!--[if lt IE 9]>
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| 		<script src="lib/js/html5shiv.js"></script>
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| 		<![endif]-->
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| 	</head>
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| 
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| 	<body>
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| 
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| 		<div class="reveal">
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| 
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| 			<div class="slides">
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| 
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| 				<section>
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| 					<h2>reveal.js Math Plugin</h2>
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| 					<p>A thin wrapper for MathJax</p>
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| 				</section>
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| 
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| 				<section>
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| 					<h3>The Lorenz Equations</h3>
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| 
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| 					\[\begin{aligned}
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| 					\dot{x} & = \sigma(y-x) \\
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| 					\dot{y} & = \rho x - y - xz \\
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| 					\dot{z} & = -\beta z + xy
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| 					\end{aligned} \]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>The Cauchy-Schwarz Inequality</h3>
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| 
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| 					\[ \left( \sum_{k=1}^n a_k b_k \right)^2 \leq \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right) \]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>A Cross Product Formula</h3>
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| 
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| 					\[\mathbf{V}_1 \times \mathbf{V}_2 =  \begin{vmatrix}
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| 					\mathbf{i} & \mathbf{j} & \mathbf{k} \\
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| 					\frac{\partial X}{\partial u} &  \frac{\partial Y}{\partial u} & 0 \\
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| 					\frac{\partial X}{\partial v} &  \frac{\partial Y}{\partial v} & 0
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| 					\end{vmatrix}  \]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>The probability of getting \(k\) heads when flipping \(n\) coins is</h3>
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| 
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| 					\[P(E)   = {n \choose k} p^k (1-p)^{ n-k} \]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>An Identity of Ramanujan</h3>
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| 
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| 					\[ \frac{1}{\Bigl(\sqrt{\phi \sqrt{5}}-\phi\Bigr) e^{\frac25 \pi}} =
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| 					1+\frac{e^{-2\pi}} {1+\frac{e^{-4\pi}} {1+\frac{e^{-6\pi}}
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| 					{1+\frac{e^{-8\pi}} {1+\ldots} } } } \]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>A Rogers-Ramanujan Identity</h3>
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| 
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| 					\[  1 +  \frac{q^2}{(1-q)}+\frac{q^6}{(1-q)(1-q^2)}+\cdots =
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| 					\prod_{j=0}^{\infty}\frac{1}{(1-q^{5j+2})(1-q^{5j+3})}\]
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| 				</section>
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| 
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| 				<section>
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| 					<h3>Maxwell’s Equations</h3>
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| 
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| 					\[  \begin{aligned}
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| 					\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\   \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
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| 					\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
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| 					\nabla \cdot \vec{\mathbf{B}} & = 0 \end{aligned}
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| 					\]
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| 				</section>
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| 
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| 			</div>
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| 
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| 		</div>
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| 
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| 		<script src="../lib/js/head.min.js"></script>
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| 		<script src="../js/reveal.min.js"></script>
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| 
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| 		<script>
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| 
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| 			Reveal.initialize({
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| 				transition: 'linear',
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| 
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| 				math: {
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| 					mode: 'TeX-AMS_HTML-full'
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| 				},
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| 
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| 				dependencies: [
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| 					{ src: '../lib/js/classList.js', condition: function() { return !document.body.classList; } },
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| 					{ src: '../plugin/markdown/marked.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
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| 					{ src: '../plugin/markdown/markdown.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
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| 					{ src: '../plugin/highlight/highlight.js', async: true, callback: function() { hljs.initHighlightingOnLoad(); } },
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| 					{ src: '../plugin/math/math.js', async: true }
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| 				]
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| 			});
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| 
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| 		</script>
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| 
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| 	</body>
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| </html>
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