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index.html
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"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
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<head>
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<!-- 2021-01-13 Wed 17:19 -->
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<!-- 2021-01-13 Wed 17:25 -->
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<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>Quantum Monte Carlo</title>
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@ -257,63 +257,63 @@ for the JavaScript code in this tag.
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<h2>Table of Contents</h2>
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<div id="text-table-of-contents">
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<ul>
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<li><a href="#orga6c4680">1. Introduction</a></li>
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<li><a href="#orgbd9cf5e">2. Numerical evaluation of the energy</a>
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<li><a href="#org3f6ec9c">1. Introduction</a></li>
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<li><a href="#orgdbe3e57">2. Numerical evaluation of the energy</a>
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<ul>
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<li><a href="#org4602d4d">2.1. Local energy</a>
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<li><a href="#org38b45b3">2.1. Local energy</a>
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<ul>
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<li><a href="#org2edcc8c">2.1.1. Exercise 1</a></li>
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||||
<li><a href="#orgcb78b9e">2.1.2. Exercise 2</a></li>
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||||
<li><a href="#orgc33dd0f">2.1.3. Exercise 3</a></li>
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||||
<li><a href="#org431cb51">2.1.4. Exercise 4</a></li>
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||||
<li><a href="#org53887c4">2.1.1. Exercise 1</a></li>
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||||
<li><a href="#org72355fc">2.1.2. Exercise 2</a></li>
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||||
<li><a href="#org4ba063d">2.1.3. Exercise 3</a></li>
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||||
<li><a href="#org0a0f1ab">2.1.4. Exercise 4</a></li>
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||||
</ul>
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||||
</li>
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<li><a href="#org6d7f64c">2.2. Plot of the local energy along the \(x\) axis</a>
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<li><a href="#org3e462eb">2.2. Plot of the local energy along the \(x\) axis</a>
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<ul>
|
||||
<li><a href="#orgf1fd2c9">2.2.1. Exercise</a></li>
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<li><a href="#orga0b3c58">2.2.1. Exercise</a></li>
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||||
</ul>
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||||
</li>
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<li><a href="#org173d9a9">2.3. Numerical estimation of the energy</a>
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<li><a href="#org4b33aa5">2.3. Numerical estimation of the energy</a>
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<ul>
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||||
<li><a href="#org5e04e85">2.3.1. Exercise</a></li>
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<li><a href="#org91bfa39">2.3.1. Exercise</a></li>
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</ul>
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</li>
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<li><a href="#org432407c">2.4. Variance of the local energy</a>
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<li><a href="#orga5c38b2">2.4. Variance of the local energy</a>
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<ul>
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||||
<li><a href="#org6ab07ed">2.4.1. Exercise</a></li>
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<li><a href="#orgf94cf34">2.4.1. Exercise</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li><a href="#org5efc5c3">3. Variational Monte Carlo</a>
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<li><a href="#orgebe9860">3. Variational Monte Carlo</a>
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<ul>
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<li><a href="#org2728444">3.1. Computation of the statistical error</a>
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<li><a href="#org96b3bb6">3.1. Computation of the statistical error</a>
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<ul>
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<li><a href="#orgb486adb">3.1.1. Exercise</a></li>
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<li><a href="#orgbcb7a27">3.1.1. Exercise</a></li>
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</ul>
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</li>
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<li><a href="#orga26ebef">3.2. Uniform sampling in the box</a>
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<li><a href="#org86c0ce5">3.2. Uniform sampling in the box</a>
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<ul>
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<li><a href="#org1074e59">3.2.1. Exercise</a></li>
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<li><a href="#org35ee5a9">3.2.1. Exercise</a></li>
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</ul>
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</li>
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<li><a href="#orgeae4a90">3.3. Gaussian sampling</a>
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<li><a href="#org85bd312">3.3. Gaussian sampling</a>
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<ul>
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<li><a href="#orga61b663">3.3.1. Exercise</a></li>
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<li><a href="#orgaae11fe">3.3.1. Exercise</a></li>
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</ul>
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</li>
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<li><a href="#orgbb2e4ee">3.4. Sampling with \(\Psi^2\)</a>
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<li><a href="#org3452f49">3.4. Sampling with \(\Psi^2\)</a>
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<ul>
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<li><a href="#org1fab989">3.4.1. Importance sampling</a></li>
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<li><a href="#org3bb9660">3.4.2. Metropolis algorithm</a></li>
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<li><a href="#org1afdd0f">3.4.1. Importance sampling</a></li>
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<li><a href="#org52c8984">3.4.2. Metropolis algorithm</a></li>
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</ul>
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</li>
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</ul>
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</li>
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<li><a href="#org450a6fd">4. <span class="todo TODO">TODO</span> Diffusion Monte Carlo</a>
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<li><a href="#org8958dc7">4. <span class="todo TODO">TODO</span> Diffusion Monte Carlo</a>
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<ul>
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<li><a href="#org04ef686">4.1. Hydrogen atom</a></li>
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<li><a href="#orgac9e630">4.2. Dihydrogen</a></li>
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<li><a href="#orgea4f6d6">4.1. Hydrogen atom</a></li>
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<li><a href="#org2f5f17e">4.2. Dihydrogen</a></li>
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</ul>
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</li>
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</ul>
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@ -321,8 +321,8 @@ for the JavaScript code in this tag.
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</div>
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||||
<div id="outline-container-orga6c4680" class="outline-2">
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<h2 id="orga6c4680"><span class="section-number-2">1</span> Introduction</h2>
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<div id="outline-container-org3f6ec9c" class="outline-2">
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<h2 id="org3f6ec9c"><span class="section-number-2">1</span> Introduction</h2>
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<div class="outline-text-2" id="text-1">
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<p>
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We propose different exercises to understand quantum Monte Carlo (QMC)
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@ -364,8 +364,8 @@ interpreted as a single precision value
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</div>
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<div id="outline-container-orgbd9cf5e" class="outline-2">
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<h2 id="orgbd9cf5e"><span class="section-number-2">2</span> Numerical evaluation of the energy</h2>
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||||
<div id="outline-container-orgdbe3e57" class="outline-2">
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||||
<h2 id="orgdbe3e57"><span class="section-number-2">2</span> Numerical evaluation of the energy</h2>
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<div class="outline-text-2" id="text-2">
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<p>
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In this section we consider the Hydrogen atom with the following
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@ -439,13 +439,13 @@ E & = & \frac{\langle \Psi| \hat{H} | \Psi\rangle}{\langle \Psi |\Psi \rangle}
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\end{eqnarray*}
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</div>
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<div id="outline-container-org4602d4d" class="outline-3">
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<h3 id="org4602d4d"><span class="section-number-3">2.1</span> Local energy</h3>
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<div id="outline-container-org38b45b3" class="outline-3">
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<h3 id="org38b45b3"><span class="section-number-3">2.1</span> Local energy</h3>
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||||
<div class="outline-text-3" id="text-2-1">
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</div>
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<div id="outline-container-org2edcc8c" class="outline-4">
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<h4 id="org2edcc8c"><span class="section-number-4">2.1.1</span> Exercise 1</h4>
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<div id="outline-container-org53887c4" class="outline-4">
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||||
<h4 id="org53887c4"><span class="section-number-4">2.1.1</span> Exercise 1</h4>
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<div class="outline-text-4" id="text-2-1-1">
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||||
<div class="exercise">
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<p>
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@ -489,8 +489,8 @@ and returns the potential.
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</div>
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</div>
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<div id="outline-container-orgcb78b9e" class="outline-4">
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<h4 id="orgcb78b9e"><span class="section-number-4">2.1.2</span> Exercise 2</h4>
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||||
<div id="outline-container-org72355fc" class="outline-4">
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<h4 id="org72355fc"><span class="section-number-4">2.1.2</span> Exercise 2</h4>
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<div class="outline-text-4" id="text-2-1-2">
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<div class="exercise">
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<p>
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@ -525,8 +525,8 @@ input arguments, and returns a scalar.
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</div>
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</div>
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<div id="outline-container-orgc33dd0f" class="outline-4">
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<h4 id="orgc33dd0f"><span class="section-number-4">2.1.3</span> Exercise 3</h4>
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||||
<div id="outline-container-org4ba063d" class="outline-4">
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<h4 id="org4ba063d"><span class="section-number-4">2.1.3</span> Exercise 3</h4>
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||||
<div class="outline-text-4" id="text-2-1-3">
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||||
<div class="exercise">
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<p>
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@ -607,8 +607,8 @@ So the local kinetic energy is
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</div>
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</div>
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<div id="outline-container-org431cb51" class="outline-4">
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||||
<h4 id="org431cb51"><span class="section-number-4">2.1.4</span> Exercise 4</h4>
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||||
<div id="outline-container-org0a0f1ab" class="outline-4">
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||||
<h4 id="org0a0f1ab"><span class="section-number-4">2.1.4</span> Exercise 4</h4>
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||||
<div class="outline-text-4" id="text-2-1-4">
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<div class="exercise">
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||||
<p>
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@ -651,14 +651,14 @@ local energy.
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||||
</div>
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||||
</div>
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||||
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||||
<div id="outline-container-org6d7f64c" class="outline-3">
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||||
<h3 id="org6d7f64c"><span class="section-number-3">2.2</span> Plot of the local energy along the \(x\) axis</h3>
|
||||
<div id="outline-container-org3e462eb" class="outline-3">
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||||
<h3 id="org3e462eb"><span class="section-number-3">2.2</span> Plot of the local energy along the \(x\) axis</h3>
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||||
<div class="outline-text-3" id="text-2-2">
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||||
</div>
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||||
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||||
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||||
<div id="outline-container-orgf1fd2c9" class="outline-4">
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||||
<h4 id="orgf1fd2c9"><span class="section-number-4">2.2.1</span> Exercise</h4>
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||||
<div id="outline-container-orga0b3c58" class="outline-4">
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||||
<h4 id="orga0b3c58"><span class="section-number-4">2.2.1</span> Exercise</h4>
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||||
<div class="outline-text-4" id="text-2-2-1">
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||||
<div class="exercise">
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||||
<p>
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@ -775,8 +775,8 @@ plot './data' index 0 using 1:2 with lines title 'a=0.1', \
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</div>
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</div>
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||||
<div id="outline-container-org173d9a9" class="outline-3">
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||||
<h3 id="org173d9a9"><span class="section-number-3">2.3</span> Numerical estimation of the energy</h3>
|
||||
<div id="outline-container-org4b33aa5" class="outline-3">
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||||
<h3 id="org4b33aa5"><span class="section-number-3">2.3</span> Numerical estimation of the energy</h3>
|
||||
<div class="outline-text-3" id="text-2-3">
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||||
<p>
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If the space is discretized in small volume elements \(\mathbf{r}_i\)
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@ -806,8 +806,8 @@ The energy is biased because:
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</div>
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||||
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||||
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||||
<div id="outline-container-org5e04e85" class="outline-4">
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||||
<h4 id="org5e04e85"><span class="section-number-4">2.3.1</span> Exercise</h4>
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||||
<div id="outline-container-org91bfa39" class="outline-4">
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||||
<h4 id="org91bfa39"><span class="section-number-4">2.3.1</span> Exercise</h4>
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||||
<div class="outline-text-4" id="text-2-3-1">
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<div class="exercise">
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||||
<p>
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@ -917,8 +917,8 @@ a = 2.0000000000000000 E = -8.0869806678448772E-002
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</div>
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</div>
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||||
<div id="outline-container-org432407c" class="outline-3">
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||||
<h3 id="org432407c"><span class="section-number-3">2.4</span> Variance of the local energy</h3>
|
||||
<div id="outline-container-orga5c38b2" class="outline-3">
|
||||
<h3 id="orga5c38b2"><span class="section-number-3">2.4</span> Variance of the local energy</h3>
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<div class="outline-text-3" id="text-2-4">
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||||
<p>
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||||
The variance of the local energy is a functional of \(\Psi\)
|
||||
@ -940,8 +940,8 @@ energy can be used as a measure of the quality of a wave function.
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</p>
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</div>
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||||
<div id="outline-container-org6ab07ed" class="outline-4">
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<h4 id="org6ab07ed"><span class="section-number-4">2.4.1</span> Exercise</h4>
|
||||
<div id="outline-container-orgf94cf34" class="outline-4">
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||||
<h4 id="orgf94cf34"><span class="section-number-4">2.4.1</span> Exercise</h4>
|
||||
<div class="outline-text-4" id="text-2-4-1">
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||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1083,8 +1083,8 @@ a = 2.0000000000000000 E = -8.0869806678448772E-002 s2 = 1.806881
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||||
</div>
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||||
<div id="outline-container-org5efc5c3" class="outline-2">
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||||
<h2 id="org5efc5c3"><span class="section-number-2">3</span> Variational Monte Carlo</h2>
|
||||
<div id="outline-container-orgebe9860" class="outline-2">
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||||
<h2 id="orgebe9860"><span class="section-number-2">3</span> Variational Monte Carlo</h2>
|
||||
<div class="outline-text-2" id="text-3">
|
||||
<p>
|
||||
Numerical integration with deterministic methods is very efficient
|
||||
@ -1100,8 +1100,8 @@ interval.
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||||
</p>
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</div>
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||||
<div id="outline-container-org2728444" class="outline-3">
|
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<h3 id="org2728444"><span class="section-number-3">3.1</span> Computation of the statistical error</h3>
|
||||
<div id="outline-container-org96b3bb6" class="outline-3">
|
||||
<h3 id="org96b3bb6"><span class="section-number-3">3.1</span> Computation of the statistical error</h3>
|
||||
<div class="outline-text-3" id="text-3-1">
|
||||
<p>
|
||||
To compute the statistical error, you need to perform \(M\)
|
||||
@ -1141,8 +1141,8 @@ And the confidence interval is given by
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-orgb486adb" class="outline-4">
|
||||
<h4 id="orgb486adb"><span class="section-number-4">3.1.1</span> Exercise</h4>
|
||||
<div id="outline-container-orgbcb7a27" class="outline-4">
|
||||
<h4 id="orgbcb7a27"><span class="section-number-4">3.1.1</span> Exercise</h4>
|
||||
<div class="outline-text-4" id="text-3-1-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1191,8 +1191,8 @@ input array.
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-orga26ebef" class="outline-3">
|
||||
<h3 id="orga26ebef"><span class="section-number-3">3.2</span> Uniform sampling in the box</h3>
|
||||
<div id="outline-container-org86c0ce5" class="outline-3">
|
||||
<h3 id="org86c0ce5"><span class="section-number-3">3.2</span> Uniform sampling in the box</h3>
|
||||
<div class="outline-text-3" id="text-3-2">
|
||||
<p>
|
||||
We will now do our first Monte Carlo calculation to compute the
|
||||
@ -1226,8 +1226,8 @@ statistical error.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org1074e59" class="outline-4">
|
||||
<h4 id="org1074e59"><span class="section-number-4">3.2.1</span> Exercise</h4>
|
||||
<div id="outline-container-org35ee5a9" class="outline-4">
|
||||
<h4 id="org35ee5a9"><span class="section-number-4">3.2.1</span> Exercise</h4>
|
||||
<div class="outline-text-4" id="text-3-2-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1337,8 +1337,8 @@ E = -0.49588321986667677 +/- 7.1758863546737969E-004
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-orgeae4a90" class="outline-3">
|
||||
<h3 id="orgeae4a90"><span class="section-number-3">3.3</span> Gaussian sampling</h3>
|
||||
<div id="outline-container-org85bd312" class="outline-3">
|
||||
<h3 id="org85bd312"><span class="section-number-3">3.3</span> Gaussian sampling</h3>
|
||||
<div class="outline-text-3" id="text-3-3">
|
||||
<p>
|
||||
We will now improve the sampling and allow to sample in the whole
|
||||
@ -1434,8 +1434,8 @@ average energy can be computed as
|
||||
</div>
|
||||
|
||||
|
||||
<div id="outline-container-orga61b663" class="outline-4">
|
||||
<h4 id="orga61b663"><span class="section-number-4">3.3.1</span> Exercise</h4>
|
||||
<div id="outline-container-orgaae11fe" class="outline-4">
|
||||
<h4 id="orgaae11fe"><span class="section-number-4">3.3.1</span> Exercise</h4>
|
||||
<div class="outline-text-4" id="text-3-3-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1546,8 +1546,8 @@ E = -0.49517104619091717 +/- 1.0685523607878961E-004
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-orgbb2e4ee" class="outline-3">
|
||||
<h3 id="orgbb2e4ee"><span class="section-number-3">3.4</span> Sampling with \(\Psi^2\)</h3>
|
||||
<div id="outline-container-org3452f49" class="outline-3">
|
||||
<h3 id="org3452f49"><span class="section-number-3">3.4</span> Sampling with \(\Psi^2\)</h3>
|
||||
<div class="outline-text-3" id="text-3-4">
|
||||
<p>
|
||||
We will now use the square of the wave function to make the sampling:
|
||||
@ -1572,8 +1572,8 @@ the local energies, each with a weight of 1.
|
||||
</div>
|
||||
|
||||
|
||||
<div id="outline-container-org1fab989" class="outline-4">
|
||||
<h4 id="org1fab989"><span class="section-number-4">3.4.1</span> Importance sampling</h4>
|
||||
<div id="outline-container-org1afdd0f" class="outline-4">
|
||||
<h4 id="org1afdd0f"><span class="section-number-4">3.4.1</span> Importance sampling</h4>
|
||||
<div class="outline-text-4" id="text-3-4-1">
|
||||
<p>
|
||||
To generate the probability density \(\Psi^2\), we consider a
|
||||
@ -1686,7 +1686,7 @@ variance \(\tau\,2D\).
|
||||
</div>
|
||||
|
||||
<ol class="org-ol">
|
||||
<li><a id="org6f5d328"></a>Exercise 1<br />
|
||||
<li><a id="org579ab16"></a>Exercise 1<br />
|
||||
<div class="outline-text-5" id="text-3-4-1-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1722,7 +1722,7 @@ Write a function to compute the drift vector \(\frac{\nabla \Psi(\mathbf{r})}{\P
|
||||
</div>
|
||||
</li>
|
||||
|
||||
<li><a id="org0582e3c"></a><span class="todo TODO">TODO</span> Exercise 2<br />
|
||||
<li><a id="org329a908"></a><span class="todo TODO">TODO</span> Exercise 2<br />
|
||||
<div class="outline-text-5" id="text-3-4-1-2">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -1834,8 +1834,8 @@ E = -0.48584030499187431 +/- 1.0411743995438257E-004
|
||||
</ol>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org3bb9660" class="outline-4">
|
||||
<h4 id="org3bb9660"><span class="section-number-4">3.4.2</span> Metropolis algorithm</h4>
|
||||
<div id="outline-container-org52c8984" class="outline-4">
|
||||
<h4 id="org52c8984"><span class="section-number-4">3.4.2</span> Metropolis algorithm</h4>
|
||||
<div class="outline-text-4" id="text-3-4-2">
|
||||
<p>
|
||||
Discretizing the differential equation to generate the desired
|
||||
@ -1896,7 +1896,7 @@ the simulation.
|
||||
</div>
|
||||
|
||||
<ol class="org-ol">
|
||||
<li><a id="org06ee82b"></a>Exercise<br />
|
||||
<li><a id="org9e1ca89"></a>Exercise<br />
|
||||
<div class="outline-text-5" id="text-3-4-2-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -2052,17 +2052,17 @@ A = 0.78861366666666655 +/- 3.5096729498002445E-004
|
||||
</div>
|
||||
|
||||
|
||||
<div id="outline-container-org450a6fd" class="outline-2">
|
||||
<h2 id="org450a6fd"><span class="section-number-2">4</span> <span class="todo TODO">TODO</span> Diffusion Monte Carlo</h2>
|
||||
<div id="outline-container-org8958dc7" class="outline-2">
|
||||
<h2 id="org8958dc7"><span class="section-number-2">4</span> <span class="todo TODO">TODO</span> Diffusion Monte Carlo</h2>
|
||||
<div class="outline-text-2" id="text-4">
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org04ef686" class="outline-3">
|
||||
<h3 id="org04ef686"><span class="section-number-3">4.1</span> Hydrogen atom</h3>
|
||||
<div id="outline-container-orgea4f6d6" class="outline-3">
|
||||
<h3 id="orgea4f6d6"><span class="section-number-3">4.1</span> Hydrogen atom</h3>
|
||||
<div class="outline-text-3" id="text-4-1">
|
||||
</div>
|
||||
<ol class="org-ol">
|
||||
<li><a id="orgd28ec31"></a>Exercise<br />
|
||||
<li><a id="orgdfab00a"></a>Exercise<br />
|
||||
<div class="outline-text-5" id="text-4-1-0-1">
|
||||
<div class="exercise">
|
||||
<p>
|
||||
@ -2221,8 +2221,8 @@ A = 0.78861366666666655 +/- 3.5096729498002445E-004
|
||||
</div>
|
||||
|
||||
|
||||
<div id="outline-container-orgac9e630" class="outline-3">
|
||||
<h3 id="orgac9e630"><span class="section-number-3">4.2</span> Dihydrogen</h3>
|
||||
<div id="outline-container-org2f5f17e" class="outline-3">
|
||||
<h3 id="org2f5f17e"><span class="section-number-3">4.2</span> Dihydrogen</h3>
|
||||
<div class="outline-text-3" id="text-4-2">
|
||||
<p>
|
||||
We will now consider the H<sub>2</sub> molecule in a minimal basis composed of the
|
||||
@ -2244,7 +2244,7 @@ the nuclei.
|
||||
</div>
|
||||
<div id="postamble" class="status">
|
||||
<p class="author">Author: Anthony Scemama, Claudia Filippi</p>
|
||||
<p class="date">Created: 2021-01-13 Wed 17:19</p>
|
||||
<p class="date">Created: 2021-01-13 Wed 17:25</p>
|
||||
<p class="validation"><a href="http://validator.w3.org/check?uri=referer">Validate</a></p>
|
||||
</div>
|
||||
</body>
|
||||
|
||||
962
worg.css
Normal file
962
worg.css
Normal file
@ -0,0 +1,962 @@
|
||||
@import url(https://fonts.googleapis.com/css?family=Droid+Sans|Droid+Sans+Mono|Droid+Serif);
|
||||
|
||||
@media all
|
||||
{
|
||||
html {
|
||||
margin: 0;
|
||||
font: .9em/1.6em "Droid Serif", Cambria, Georgia, "DejaVu Serif", serif;
|
||||
background-image: url(/img/org-mode-unicorn-logo-worg.png);
|
||||
background-attachment: fixed;
|
||||
background-position: right bottom;
|
||||
background-repeat: no-repeat;
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
body {
|
||||
font-size: 14pt;
|
||||
line-height: 22pt;
|
||||
color: black;
|
||||
margin-top: 0;
|
||||
|
||||
}
|
||||
body #content {
|
||||
padding-top: 2em;
|
||||
margin: auto;
|
||||
max-width: 70%;
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
body #support {
|
||||
position: fixed;
|
||||
top:0;
|
||||
display:block;
|
||||
font-size: 12pt;
|
||||
right:0pt;
|
||||
text-align: right;
|
||||
padding: .2em 1em;
|
||||
background: #EEE;
|
||||
border-radius: 10px;
|
||||
}
|
||||
|
||||
body .title {
|
||||
margin-left: 0px;
|
||||
font-size: 22pt;
|
||||
}
|
||||
|
||||
#org-div-home-and-up{
|
||||
position: fixed;
|
||||
right: 0.5em;
|
||||
margin-top: 70px;
|
||||
font-family:sans-serif;
|
||||
}
|
||||
|
||||
/* TOC inspired by http://jashkenas.github.com/coffee-script */
|
||||
#table-of-contents {
|
||||
margin-top: 105px;
|
||||
font-size: 10pt;
|
||||
font-family:sans-serif;
|
||||
position: fixed;
|
||||
right: 0em;
|
||||
top: 0em;
|
||||
background: white;
|
||||
line-height: 12pt;
|
||||
text-align: right;
|
||||
box-shadow: 0 0 1em #777777;
|
||||
-webkit-box-shadow: 0 0 1em #777777;
|
||||
-moz-box-shadow: 0 0 1em #777777;
|
||||
-webkit-border-bottom-left-radius: 5px;
|
||||
-moz-border-radius-bottomleft: 5px;
|
||||
/* ensure doesn't flow off the screen when expanded */
|
||||
max-height: 80%;
|
||||
overflow: auto; }
|
||||
#table-of-contents h2 {
|
||||
font-size: 13pt;
|
||||
max-width: 9em;
|
||||
border: 0;
|
||||
font-weight: normal;
|
||||
padding-left: 0.5em;
|
||||
padding-right: 0.5em;
|
||||
padding-top: 0.05em;
|
||||
padding-bottom: 0.05em; }
|
||||
#table-of-contents #text-table-of-contents {
|
||||
display: none;
|
||||
text-align: left; }
|
||||
#table-of-contents:hover #text-table-of-contents {
|
||||
display: block;
|
||||
padding: 0.5em;
|
||||
margin-top: -1.5em; }
|
||||
|
||||
#license {
|
||||
background-color: #eeeeee;
|
||||
}
|
||||
|
||||
h1 {
|
||||
font-size:2.1em;
|
||||
padding:0 0 30px 0;
|
||||
margin-top: 10px;
|
||||
margin-bottom: 10px;
|
||||
margin-right: 7%;
|
||||
color: grey;
|
||||
}
|
||||
|
||||
h2 {
|
||||
font-family:sans-serif;
|
||||
font-size:1.45em;
|
||||
padding:10px 0 10px 0;
|
||||
color: black;
|
||||
border-bottom: 1px solid #ddd;
|
||||
padding-top: 1.5em;
|
||||
}
|
||||
|
||||
.outline-text-2 {
|
||||
margin-left: 0.1em
|
||||
}
|
||||
|
||||
h3 {
|
||||
font-family:sans-serif;
|
||||
font-size:1.3em;
|
||||
color: grey;
|
||||
margin-left: 0.6em;
|
||||
padding-top: 1.5em;
|
||||
}
|
||||
|
||||
/* #A34D32;*/
|
||||
|
||||
|
||||
.outline-text-3 {
|
||||
margin-left: 0.9em;
|
||||
}
|
||||
|
||||
h4 {
|
||||
font-family:sans-serif;
|
||||
font-size:1.2em;
|
||||
margin-left: 1.2em;
|
||||
color: #A5573E;
|
||||
padding-top: 1.5em;
|
||||
}
|
||||
|
||||
.outline-text-4 {
|
||||
margin-left: 1.45em;
|
||||
}
|
||||
|
||||
a {text-decoration: none; font-weight: 400;}
|
||||
a:visited {text-decoration: none; font-weight: 400;}
|
||||
a:hover {text-decoration: underline;}
|
||||
|
||||
.todo {
|
||||
color: #CA0000;
|
||||
}
|
||||
|
||||
.done {
|
||||
color: #006666;
|
||||
}
|
||||
|
||||
.timestamp-kwd {
|
||||
color: #444;
|
||||
}
|
||||
|
||||
.tag {
|
||||
|
||||
}
|
||||
|
||||
li {
|
||||
margin: .4em;
|
||||
}
|
||||
|
||||
table {
|
||||
border: 0;
|
||||
}
|
||||
|
||||
thead {
|
||||
border: 0;
|
||||
}
|
||||
|
||||
tbody {
|
||||
border: 0;
|
||||
}
|
||||
|
||||
tr {
|
||||
border: 0;
|
||||
}
|
||||
|
||||
td {
|
||||
border-left: 0px;
|
||||
border-right: 0px;
|
||||
border-top: 0px;
|
||||
border-bottom: 0px;
|
||||
}
|
||||
|
||||
th {
|
||||
border-left: 0px;
|
||||
border-right: 0px;
|
||||
border-top: 1px solid grey;
|
||||
border-bottom: 1px solid grey;
|
||||
}
|
||||
|
||||
code {
|
||||
font-size: 100%;
|
||||
color: black;
|
||||
padding: 0px 0.2em;
|
||||
}
|
||||
|
||||
img {
|
||||
border: 0;
|
||||
}
|
||||
|
||||
.share img {
|
||||
opacity: .4;
|
||||
-moz-opacity: .4;
|
||||
filter: alpha(opacity=40);
|
||||
}
|
||||
|
||||
.share img:hover {
|
||||
opacity: 1;
|
||||
-moz-opacity: 1;
|
||||
filter: alpha(opacity=100);
|
||||
}
|
||||
|
||||
pre {
|
||||
font-family: Droid Sans Mono, Monaco, Consolas, "Lucida Console", monospace;
|
||||
color: black;
|
||||
font-size: 90%;
|
||||
padding: 0.5em;
|
||||
overflow: auto;
|
||||
border: none;
|
||||
background-color: #f2f2f2;
|
||||
border-radius: 5px;
|
||||
}
|
||||
|
||||
.org-info-box {
|
||||
clear:both;
|
||||
margin-left:auto;
|
||||
margin-right:auto;
|
||||
padding:0.7em;
|
||||
}
|
||||
.org-info-box img {
|
||||
float:left;
|
||||
margin:0em 0.5em 0em 0em;
|
||||
}
|
||||
.org-info-box p {
|
||||
margin:0em;
|
||||
padding:0em;
|
||||
}
|
||||
|
||||
|
||||
.builtin {
|
||||
/* font-lock-builtin-face */
|
||||
color: #f4a460;
|
||||
}
|
||||
.comment {
|
||||
/* font-lock-comment-face */
|
||||
color: #737373;
|
||||
}
|
||||
.comment-delimiter {
|
||||
/* font-lock-comment-delimiter-face */
|
||||
color: #666666;
|
||||
}
|
||||
.constant {
|
||||
/* font-lock-constant-face */
|
||||
color: #db7093;
|
||||
}
|
||||
.doc {
|
||||
/* font-lock-doc-face */
|
||||
color: #b3b3b3;
|
||||
}
|
||||
.function-name {
|
||||
/* font-lock-function-name-face */
|
||||
color: #5f9ea0;
|
||||
}
|
||||
.headline {
|
||||
/* headline-face */
|
||||
color: #ffffff;
|
||||
background-color: #000000;
|
||||
font-weight: bold;
|
||||
}
|
||||
.keyword {
|
||||
/* font-lock-keyword-face */
|
||||
color: #4682b4;
|
||||
}
|
||||
.negation-char {
|
||||
}
|
||||
.regexp-grouping-backslash {
|
||||
}
|
||||
.regexp-grouping-construct {
|
||||
}
|
||||
.string {
|
||||
/* font-lock-string-face */
|
||||
color: #ccc79a;
|
||||
}
|
||||
.todo-comment {
|
||||
/* todo-comment-face */
|
||||
color: #ffffff;
|
||||
background-color: #000000;
|
||||
font-weight: bold;
|
||||
}
|
||||
.variable-name {
|
||||
/* font-lock-variable-name-face */
|
||||
color: #ff6a6a;
|
||||
}
|
||||
.warning {
|
||||
/* font-lock-warning-face */
|
||||
color: #ffffff;
|
||||
background-color: #cd5c5c;
|
||||
font-weight: bold;
|
||||
}
|
||||
.important {
|
||||
/* font-lock-warning-face */
|
||||
background-color: #e3e3f7;
|
||||
}
|
||||
.exercise {
|
||||
/* font-lock-warning-face */
|
||||
background-color: #e3f7e3;
|
||||
}
|
||||
.note {
|
||||
/* font-lock-warning-face */
|
||||
background-color: #f7f7d9;
|
||||
}
|
||||
pre.a {
|
||||
color: inherit;
|
||||
background-color: inherit;
|
||||
font: inherit;
|
||||
text-decoration: inherit;
|
||||
}
|
||||
pre.a:hover {
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
/* Styles for org-info.js */
|
||||
|
||||
.org-info-js_info-navigation
|
||||
{
|
||||
border-style:none;
|
||||
}
|
||||
|
||||
#org-info-js_console-label
|
||||
{
|
||||
font-size:10px;
|
||||
font-weight:bold;
|
||||
white-space:nowrap;
|
||||
}
|
||||
|
||||
.org-info-js_search-highlight
|
||||
{
|
||||
background-color:#ffff00;
|
||||
color:#000000;
|
||||
font-weight:bold;
|
||||
}
|
||||
|
||||
#org-info-js-window
|
||||
{
|
||||
border-bottom:1px solid black;
|
||||
padding-bottom:10px;
|
||||
margin-bottom:10px;
|
||||
}
|
||||
|
||||
|
||||
|
||||
.org-info-search-highlight
|
||||
{
|
||||
background-color:#adefef; /* same color as emacs default */
|
||||
color:#000000;
|
||||
font-weight:bold;
|
||||
}
|
||||
|
||||
.org-bbdb-company {
|
||||
/* bbdb-company */
|
||||
font-style: italic;
|
||||
}
|
||||
.org-bbdb-field-name {
|
||||
}
|
||||
.org-bbdb-field-value {
|
||||
}
|
||||
.org-bbdb-name {
|
||||
/* bbdb-name */
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-bold {
|
||||
/* bold */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-bold-italic {
|
||||
/* bold-italic */
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
}
|
||||
.org-border {
|
||||
/* border */
|
||||
background-color: #000000;
|
||||
}
|
||||
.org-buffer-menu-buffer {
|
||||
/* buffer-menu-buffer */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-builtin {
|
||||
/* font-lock-builtin-face */
|
||||
color: #da70d6;
|
||||
}
|
||||
.org-button {
|
||||
/* button */
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-c-nonbreakable-space {
|
||||
/* c-nonbreakable-space-face */
|
||||
background-color: #ff0000;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-calendar-today {
|
||||
/* calendar-today */
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-comment {
|
||||
/* font-lock-comment-face */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-comment-delimiter {
|
||||
/* font-lock-comment-delimiter-face */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-constant {
|
||||
/* font-lock-constant-face */
|
||||
color: #5f9ea0;
|
||||
}
|
||||
.org-cursor {
|
||||
/* cursor */
|
||||
background-color: #000000;
|
||||
}
|
||||
.org-default {
|
||||
/* default */
|
||||
color: #000000;
|
||||
background-color: #ffffff;
|
||||
}
|
||||
.org-diary {
|
||||
/* diary */
|
||||
color: #ff0000;
|
||||
}
|
||||
.org-doc {
|
||||
/* font-lock-doc-face */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.org-escape-glyph {
|
||||
/* escape-glyph */
|
||||
color: #a52a2a;
|
||||
}
|
||||
.org-file-name-shadow {
|
||||
/* file-name-shadow */
|
||||
color: #7f7f7f;
|
||||
}
|
||||
.org-fixed-pitch {
|
||||
}
|
||||
.org-fringe {
|
||||
/* fringe */
|
||||
background-color: #f2f2f2;
|
||||
}
|
||||
.org-function-name {
|
||||
/* font-lock-function-name-face */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-header-line {
|
||||
/* header-line */
|
||||
color: #333333;
|
||||
background-color: #e5e5e5;
|
||||
}
|
||||
.org-help-argument-name {
|
||||
/* help-argument-name */
|
||||
font-style: italic;
|
||||
}
|
||||
.org-highlight {
|
||||
/* highlight */
|
||||
background-color: #b4eeb4;
|
||||
}
|
||||
.org-holiday {
|
||||
/* holiday */
|
||||
background-color: #ffc0cb;
|
||||
}
|
||||
.org-info-header-node {
|
||||
/* info-header-node */
|
||||
color: #a52a2a;
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
}
|
||||
.org-info-header-xref {
|
||||
/* info-header-xref */
|
||||
color: #0000ff;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-info-menu-header {
|
||||
/* info-menu-header */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-info-menu-star {
|
||||
/* info-menu-star */
|
||||
color: #ff0000;
|
||||
}
|
||||
.org-info-node {
|
||||
/* info-node */
|
||||
color: #a52a2a;
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
}
|
||||
.org-info-title-1 {
|
||||
/* info-title-1 */
|
||||
font-size: 172%;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-info-title-2 {
|
||||
/* info-title-2 */
|
||||
font-size: 144%;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-info-title-3 {
|
||||
/* info-title-3 */
|
||||
font-size: 120%;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-info-title-4 {
|
||||
/* info-title-4 */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-info-xref {
|
||||
/* info-xref */
|
||||
color: #0000ff;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-isearch {
|
||||
/* isearch */
|
||||
color: #b0e2ff;
|
||||
background-color: #cd00cd;
|
||||
}
|
||||
.org-italic {
|
||||
/* italic */
|
||||
font-style: italic;
|
||||
}
|
||||
.org-keyword {
|
||||
/* font-lock-keyword-face */
|
||||
color: #a020f0;
|
||||
}
|
||||
.org-lazy-highlight {
|
||||
/* lazy-highlight */
|
||||
background-color: #afeeee;
|
||||
}
|
||||
.org-link {
|
||||
/* link */
|
||||
color: #0000ff;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-link-visited {
|
||||
/* link-visited */
|
||||
color: #8b008b;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-match {
|
||||
/* match */
|
||||
background-color: #ffff00;
|
||||
}
|
||||
.org-menu {
|
||||
}
|
||||
.org-message-cited-text {
|
||||
/* message-cited-text */
|
||||
color: #ff0000;
|
||||
}
|
||||
.org-message-header-cc {
|
||||
/* message-header-cc */
|
||||
color: #191970;
|
||||
}
|
||||
.org-message-header-name {
|
||||
/* message-header-name */
|
||||
color: #6495ed;
|
||||
}
|
||||
.org-message-header-newsgroups {
|
||||
/* message-header-newsgroups */
|
||||
color: #00008b;
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
}
|
||||
.org-message-header-other {
|
||||
/* message-header-other */
|
||||
color: #4682b4;
|
||||
}
|
||||
.org-message-header-subject {
|
||||
/* message-header-subject */
|
||||
color: #000080;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-message-header-to {
|
||||
/* message-header-to */
|
||||
color: #191970;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-message-header-xheader {
|
||||
/* message-header-xheader */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-message-mml {
|
||||
/* message-mml */
|
||||
color: #228b22;
|
||||
}
|
||||
.org-message-separator {
|
||||
/* message-separator */
|
||||
color: #a52a2a;
|
||||
}
|
||||
.org-minibuffer-prompt {
|
||||
/* minibuffer-prompt */
|
||||
color: #0000cd;
|
||||
}
|
||||
.org-mm-uu-extract {
|
||||
/* mm-uu-extract */
|
||||
color: #006400;
|
||||
background-color: #ffffe0;
|
||||
}
|
||||
.org-mode-line {
|
||||
/* mode-line */
|
||||
color: #000000;
|
||||
background-color: #bfbfbf;
|
||||
}
|
||||
.org-mode-line-buffer-id {
|
||||
/* mode-line-buffer-id */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-mode-line-highlight {
|
||||
}
|
||||
.org-mode-line-inactive {
|
||||
/* mode-line-inactive */
|
||||
color: #333333;
|
||||
background-color: #e5e5e5;
|
||||
}
|
||||
.org-mouse {
|
||||
/* mouse */
|
||||
background-color: #000000;
|
||||
}
|
||||
.org-negation-char {
|
||||
}
|
||||
.org-next-error {
|
||||
/* next-error */
|
||||
background-color: #eedc82;
|
||||
}
|
||||
.org-nobreak-space {
|
||||
/* nobreak-space */
|
||||
color: #a52a2a;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-agenda-date {
|
||||
/* org-agenda-date */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-org-agenda-date-weekend {
|
||||
/* org-agenda-date-weekend */
|
||||
color: #0000ff;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-org-agenda-restriction-lock {
|
||||
/* org-agenda-restriction-lock */
|
||||
background-color: #ffff00;
|
||||
}
|
||||
.org-org-agenda-structure {
|
||||
/* org-agenda-structure */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-org-archived {
|
||||
/* org-archived */
|
||||
color: #7f7f7f;
|
||||
}
|
||||
.org-org-code {
|
||||
/* org-code */
|
||||
color: #7f7f7f;
|
||||
}
|
||||
.org-org-column {
|
||||
/* org-column */
|
||||
background-color: #e5e5e5;
|
||||
}
|
||||
.org-org-column-title {
|
||||
/* org-column-title */
|
||||
background-color: #e5e5e5;
|
||||
font-weight: bold;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-date {
|
||||
/* org-date */
|
||||
color: #a020f0;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-done {
|
||||
/* org-done */
|
||||
color: #228b22;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-org-drawer {
|
||||
/* org-drawer */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-org-ellipsis {
|
||||
/* org-ellipsis */
|
||||
color: #b8860b;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-formula {
|
||||
/* org-formula */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-org-headline-done {
|
||||
/* org-headline-done */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.org-org-hide {
|
||||
/* org-hide */
|
||||
color: #e5e5e5;
|
||||
}
|
||||
.org-org-latex-and-export-specials {
|
||||
/* org-latex-and-export-specials */
|
||||
color: #8b4513;
|
||||
}
|
||||
.org-org-level-1 {
|
||||
/* org-level-1 */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-org-level-2 {
|
||||
/* org-level-2 */
|
||||
color: #b8860b;
|
||||
}
|
||||
.org-org-level-3 {
|
||||
/* org-level-3 */
|
||||
color: #a020f0;
|
||||
}
|
||||
.org-org-level-4 {
|
||||
/* org-level-4 */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-org-level-5 {
|
||||
/* org-level-5 */
|
||||
color: #228b22;
|
||||
}
|
||||
.org-org-level-6 {
|
||||
/* org-level-6 */
|
||||
color: #5f9ea0;
|
||||
}
|
||||
.org-org-level-7 {
|
||||
/* org-level-7 */
|
||||
color: #da70d6;
|
||||
}
|
||||
.org-org-level-8 {
|
||||
/* org-level-8 */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.org-org-link {
|
||||
/* org-link */
|
||||
color: #a020f0;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-property-value {
|
||||
}
|
||||
.org-org-scheduled-previously {
|
||||
/* org-scheduled-previously */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-org-scheduled-today {
|
||||
/* org-scheduled-today */
|
||||
color: #006400;
|
||||
}
|
||||
.org-org-sexp-date {
|
||||
/* org-sexp-date */
|
||||
color: #a020f0;
|
||||
}
|
||||
.org-org-special-keyword {
|
||||
/* org-special-keyword */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.org-org-table {
|
||||
/* org-table */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-org-tag {
|
||||
/* org-tag */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-org-target {
|
||||
/* org-target */
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-time-grid {
|
||||
/* org-time-grid */
|
||||
color: #b8860b;
|
||||
}
|
||||
.org-org-todo {
|
||||
/* org-todo */
|
||||
color: #ff0000;
|
||||
}
|
||||
.org-org-upcoming-deadline {
|
||||
/* org-upcoming-deadline */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-org-verbatim {
|
||||
/* org-verbatim */
|
||||
color: #7f7f7f;
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-org-warning {
|
||||
/* org-warning */
|
||||
color: #ff0000;
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-outline-1 {
|
||||
/* outline-1 */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-outline-2 {
|
||||
/* outline-2 */
|
||||
color: #b8860b;
|
||||
}
|
||||
.org-outline-3 {
|
||||
/* outline-3 */
|
||||
color: #a020f0;
|
||||
}
|
||||
.org-outline-4 {
|
||||
/* outline-4 */
|
||||
color: #b22222;
|
||||
}
|
||||
.org-outline-5 {
|
||||
/* outline-5 */
|
||||
color: #228b22;
|
||||
}
|
||||
.org-outline-6 {
|
||||
/* outline-6 */
|
||||
color: #5f9ea0;
|
||||
}
|
||||
.org-outline-7 {
|
||||
/* outline-7 */
|
||||
color: #da70d6;
|
||||
}
|
||||
.org-outline-8 {
|
||||
/* outline-8 */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.outline-text-1, .outline-text-2, .outline-text-3, .outline-text-4, .outline-text-5, .outline-text-6 {
|
||||
/* Add more spacing between section. Padding, so that folding with org-info.js works as expected. */
|
||||
|
||||
}
|
||||
|
||||
.org-preprocessor {
|
||||
/* font-lock-preprocessor-face */
|
||||
color: #da70d6;
|
||||
}
|
||||
.org-query-replace {
|
||||
/* query-replace */
|
||||
color: #b0e2ff;
|
||||
background-color: #cd00cd;
|
||||
}
|
||||
.org-regexp-grouping-backslash {
|
||||
/* font-lock-regexp-grouping-backslash */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-regexp-grouping-construct {
|
||||
/* font-lock-regexp-grouping-construct */
|
||||
font-weight: bold;
|
||||
}
|
||||
.org-region {
|
||||
/* region */
|
||||
background-color: #eedc82;
|
||||
}
|
||||
.org-rmail-highlight {
|
||||
}
|
||||
.org-scroll-bar {
|
||||
/* scroll-bar */
|
||||
background-color: #bfbfbf;
|
||||
}
|
||||
.org-secondary-selection {
|
||||
/* secondary-selection */
|
||||
background-color: #ffff00;
|
||||
}
|
||||
.org-shadow {
|
||||
/* shadow */
|
||||
color: #7f7f7f;
|
||||
}
|
||||
.org-show-paren-match {
|
||||
/* show-paren-match */
|
||||
background-color: #40e0d0;
|
||||
}
|
||||
.org-show-paren-mismatch {
|
||||
/* show-paren-mismatch */
|
||||
color: #ffffff;
|
||||
background-color: #a020f0;
|
||||
}
|
||||
.org-string {
|
||||
/* font-lock-string-face */
|
||||
color: #bc8f8f;
|
||||
}
|
||||
.org-texinfo-heading {
|
||||
/* texinfo-heading */
|
||||
color: #0000ff;
|
||||
}
|
||||
.org-tool-bar {
|
||||
/* tool-bar */
|
||||
color: #000000;
|
||||
background-color: #bfbfbf;
|
||||
}
|
||||
.org-tooltip {
|
||||
/* tooltip */
|
||||
color: #000000;
|
||||
background-color: #ffffe0;
|
||||
}
|
||||
.org-trailing-whitespace {
|
||||
/* trailing-whitespace */
|
||||
background-color: #ff0000;
|
||||
}
|
||||
.org-type {
|
||||
/* font-lock-type-face */
|
||||
color: #228b22;
|
||||
}
|
||||
.org-underline {
|
||||
/* underline */
|
||||
text-decoration: underline;
|
||||
}
|
||||
.org-variable-name {
|
||||
/* font-lock-variable-name-face */
|
||||
color: #b8860b;
|
||||
}
|
||||
.org-variable-pitch {
|
||||
}
|
||||
.org-vertical-border {
|
||||
}
|
||||
.org-warning {
|
||||
/* font-lock-warning-face */
|
||||
color: #ff0000;
|
||||
font-weight: bold;
|
||||
}
|
||||
.rss_box {}
|
||||
.rss_title, rss_title a {}
|
||||
.rss_items {}
|
||||
.rss_item a:link, .rss_item a:visited, .rss_item a:active {}
|
||||
.rss_item a:hover {}
|
||||
.rss_date {}
|
||||
|
||||
label.org-src-name {
|
||||
font-size: 80%;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
#show_source {margin: 0; padding: 0;}
|
||||
|
||||
#postamble {
|
||||
font-size: 75%;
|
||||
min-width: 700px;
|
||||
max-width: 80%;
|
||||
line-height: 14pt;
|
||||
margin-left: 20px;
|
||||
margin-top: 10px;
|
||||
padding: .2em;
|
||||
background-color: #ffffff;
|
||||
z-index: -1000;
|
||||
}
|
||||
|
||||
|
||||
} /* END OF @media all */
|
||||
|
||||
@media screen
|
||||
{
|
||||
#table-of-contents {
|
||||
position: fixed;
|
||||
margin-top: 105px;
|
||||
float: right;
|
||||
border: 1px solid #red;
|
||||
max-width: 50%;
|
||||
overflow: auto;
|
||||
}
|
||||
} /* END OF @media screen */
|
||||
Loading…
Reference in New Issue
Block a user