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<html><head><title>niplav</title>
<link href="./favicon.png" rel="shortcut icon" type="image/png"/>
<link href="main.css" rel="stylesheet" type="text/css"/>
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</head><body><h2 id="home"><a href="./index.html">home</a></h2>
<p><em>author: niplav, created: 2021-01-28, modified: 2023-01-19, language: english, status: in progress, importance: 1, confidence: likely</em></p>
<blockquote>
<p><strong>I sometimes read textbooks (broadly defined as "a book with
exercises"), and create some stuff while reading them (e.g. making
flashcards of facts & definitions in the textbook and solving some
exercises). I collect that information here, to my and maybe others'
benefit.</strong></p>
</blockquote><div class="toc"><div class="toc-title">Contents</div><ul><li><a href="#An_Infinitely_Large_Napkin">“An Infinitely Large Napkin”</a><ul></ul></li><li><a href="#Maths_for_Intelligent_Systems">“Maths for Intelligent Systems”</a><ul></ul></li><li><a href="#Algorithmic_Game_Theory">“Algorithmic Game Theory”</a><ul></ul></li><li><a href="#Reactive_Systems">“Reactive Systems”</a><ul></ul></li><li><a href="#Population_Genetics">“Population Genetics”</a><ul></ul></li><li><a href="#Nave_Set_Theory">”Naïve Set Theory”</a><ul></ul></li><li><a href="#Pattern_Recognition_and_Machine_Learning">“Pattern Recognition and Machine Learning”</a><ul></ul></li><li><a href="#Programming_in_Lua">“Programming in Lua”</a><ul></ul></li><li><a href="#A_Primer_in_Social_Choice_Theory">“A Primer in Social Choice Theory”</a><ul></ul></li><li><a href="#Parameterized_Algorithms">“Parameterized Algorithms”</a><ul></ul></li><li><a href="#Multivariable_Calculus">“Multivariable Calculus”</a><ul></ul></li><li><a href="#Artificial_Intelligence_A_Modern_Approach">“Artificial Intelligence: A Modern Approach”</a><ul></ul></li><li><a href="#Causality">“Causality”</a><ul></ul></li><li><a href="#The_Jazz_Piano_Book">“The Jazz Piano Book”</a><ul></ul></li></ul></div>
<h1 id="Administrativa_for_Textbooks"><a class="hanchor" href="#Administrativa_for_Textbooks">Administrativa for Textbooks</a></h1>
<p>For flashcards, if I include the screenshot of an algorithm, the goal
is not to learn the algorithm by heart in all detail, but have a good
mental model of how it works.</p>
<h2 id="An_Infinitely_Large_Napkin"><a class="hanchor" href="#An_Infinitely_Large_Napkin">“An Infinitely Large Napkin”</a></h2>
<ul>
<li>Flashcards</li>
<li>Solutions</li>
<li>Read
<ul>
<li>p. 1-48</li>
</ul></li>
</ul>
<h2 id="Maths_for_Intelligent_Systems"><a class="hanchor" href="#Maths_for_Intelligent_Systems">“Maths for Intelligent Systems”</a></h2>
<ul>
<li>Flashcards
<ul>
<li>Missing: The <strong>tensor product</strong> from p. 25 (though it's not <em>really</em> explained there)</li>
</ul></li>
<li><a href="./mfis_solutions.html">Solutions to Exercises</a>
<ul>
<li>Chapter 2: 2.4 (i)-(iv), 2.6.1, 2.6.2, 2.6.3, 2.6.4</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-26</li>
</ul></li>
</ul>
<h2 id="Algorithmic_Game_Theory"><a class="hanchor" href="#Algorithmic_Game_Theory">“Algorithmic Game Theory”</a></h2>
<ul>
<li><a href="./flash/algorithmic_game_theory.apkg">Flashcards</a>
<ul>
<li>p. 1-35</li>
</ul></li>
<li><a href="./agt_solutions.html">Solutions to Exercises</a> (wow, these are <em>difficult</em>)
<ul>
<li>Chapter 1: 1.3</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-35</li>
</ul></li>
</ul>
<h2 id="Reactive_Systems"><a class="hanchor" href="#Reactive_Systems">“Reactive Systems”</a></h2>
<ul>
<li><a href="./flash/reactive_systems.apkg">Flashcards</a>
<ul>
<li>p. 1-143</li>
<li>Missing: A question about the difference between bisimilarity and bisimulation and simulation equivalence and trace equivalence</li>
</ul></li>
<li><a href="./rs_solutions.html">Solutions to Exercises</a>
<ul>
<li>Chapter 1</li>
<li>Chapter 2: 2.1-2.7, 2.12</li>
<li>Chapter 3: 3.1-3.4, 3.7, 3.9, 3.12, 3.14, 3.17, 3.30, 3.37, 3.41</li>
<li>Chapter 4: 4.1-4.3, 4.7, 4.9</li>
<li>Chapter 5: 5.1-5.5, 5.7, 5.11</li>
<li>Chapter 6: 6.4-6.5, 6.7, 6.9</li>
<li>Missing: 2.8, 2.9, 2.10, 2.11, 2.13, 2.14, 3.5, 3.6, 3.8, 3.10, 3.11, 3.13, 3.15, 3.16, 3.18, 3.19, 3.20, 3.21, 3.22, 3.23, 3.24, 3.25, 3.26, 3.27, 3.28, 3.29, 3.31, 3.32, 3.33, 3.34, 3.35, 3.36, 3.38, 3.39, 3.40, 4.4, 4.5, 4.6, 4.8, 4.10, 4.11, 4.12, 4.13, 4.14, 4.15, 5.6, 5.8, 5.9, 5.10, 5.12, 5.13, 6.1, 6.2, 6.3, 6.6, 6.8, 6.10, 6.11, 6.12, 6.13, 6.14, 6.15, 6.16, 6.17, 6.18, 6.19</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-157</li>
</ul></li>
</ul>
<h2 id="Population_Genetics"><a class="hanchor" href="#Population_Genetics">“Population Genetics”</a></h2>
<ul>
<li><a href="./flash/population_genetics.apkg">Flashcards</a>
<ul>
<li>p. 1-50</li>
<li>p. 59-</li>
</ul></li>
<li><a href="./pg_solutions.html">Solutions to Exercises</a>
<ul>
<li>Chapter 1: 1.1-1.2, 1.5-1.6</li>
<li>Chapter 2: 2.2, 2.5, 2.7, 2.9</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-50</li>
</ul></li>
</ul>
<h2 id="Nave_Set_Theory"><a class="hanchor" href="#Nave_Set_Theory">”Naïve Set Theory”</a></h2>
<ul>
<li><a href="./flash/na%C3%AFve_set_theory.apkg">Flashcards</a>
<ul>
<li>Sections 1-15</li>
</ul></li>
<li><a href="./nst_solutions.html">Solutions to Exercises</a>
<ul>
<li>Sections 3-15</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-63</li>
</ul></li>
</ul>
<h2 id="Pattern_Recognition_and_Machine_Learning"><a class="hanchor" href="#Pattern_Recognition_and_Machine_Learning">“Pattern Recognition and Machine Learning”</a></h2>
<ul>
<li><a href="./flash/pattern_recognition_and_machine_learning.apkg">Flashcards</a>
<ul>
<li>p. 1-55</li>
<li>p. 166-167</li>
<li>p. 309-317</li>
<li>p. 322-323</li>
<li>p. 692-699</li>
</ul></li>
<li><a href="./praml_solutions.html">Solutions to Exercises</a>
<ul>
<li>Done: 1.5</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-55</li>
<li>p. 166-167</li>
<li>p. 309-317</li>
<li>p. 322-325</li>
<li>p. 692-699</li>
</ul></li>
</ul>
<h2 id="Programming_in_Lua"><a class="hanchor" href="#Programming_in_Lua">“Programming in Lua”</a></h2>
<ul>
<li>No flashcards for this one</li>
<li><a href="./pil_solutions.html">Solutions to Exercises</a>
<ul>
<li>Sections 1-12 except 12.5</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-152</li>
</ul></li>
</ul>
<h2 id="A_Primer_in_Social_Choice_Theory"><a class="hanchor" href="#A_Primer_in_Social_Choice_Theory">“A Primer in Social Choice Theory”</a></h2>
<ul>
<li><a href="./flash/a_primer_in_social_choice_theory.apkg">Flashcards</a>
<ul>
<li>p. 1-40</li>
<li>p. 52-58</li>
</ul></li>
<li><a href="./apisct_solutions.html">Solutions to Exercises</a>
<ul>
<li>Chapter 1:
<ul>
<li>Done: 1.1-1.3, 1.7</li>
</ul></li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-40</li>
<li>p. 52-58</li>
</ul></li>
</ul>
<h2 id="Parameterized_Algorithms"><a class="hanchor" href="#Parameterized_Algorithms">“Parameterized Algorithms”</a></h2>
<ul>
<li><a href="./flash/parameterized_algorithms.apkg">Flashcards</a>
<ul>
<li>p. 1-41</li>
</ul></li>
<li>Solutions to Exercises: None yet.</li>
<li>Read:
<ul>
<li>p. 1-41</li>
</ul></li>
</ul>
<h2 id="Multivariable_Calculus"><a class="hanchor" href="#Multivariable_Calculus">“Multivariable Calculus”</a></h2>
<ul>
<li><a href="./flash/multivariable_calculus.apkg">Flashcards</a>
<ul>
<li>p. 1-14</li>
<li>p. 37-40</li>
</ul></li>
<li>Solutions to Exercises: None yet.</li>
<li>Read:
<ul>
<li>p. 1-14</li>
<li>p. 37-40</li>
</ul></li>
</ul>
<h2 id="Artificial_Intelligence_A_Modern_Approach"><a class="hanchor" href="#Artificial_Intelligence_A_Modern_Approach">“Artificial Intelligence: A Modern Approach”</a></h2>
<ul>
<li><a href="./flash/artificial_intelligence_a_modern_approach.apkg">Flashcards</a>:
<ul>
<li>p. 1-122</li>
<li>p. 222-243 (missing: complexity of AC-3, special methods for global constraints)</li>
<li>p. 254-280 (symbols in propositional logic not included)</li>
<li>p. 305-335</li>
<li>p. 342-355 (without the definition of a subsumption lattice)</li>
<li>p. 357-359</li>
<li>p. 365-370</li>
<li>p. 500-544 (but not ENUMERATION-ASK)</li>
<li>p. 586-601, but fixed-lag smoothing algorithms and formulae are missing</li>
<li>p. 630-657 (although only the steps, but not the details of creating a decision network)</li>
<li>p. 665-684 (conspicuously missing: contractions and the proof of the convergence of Bellman updates)</li>
<li>p. 713-728</li>
<li>p. 850-855</li>
</ul></li>
<li><a href="./aima_solutions.html">Solutions to Exercises</a>
<ul>
<li>Chapter 1: 1.1, 1.3-1.5</li>
<li>Chapter 2: 2.1, 2.3-2.4</li>
<li>Chapter 3: 3.1-3.2</li>
<li>Chapter 6: 6.1, 6.5</li>
<li>Chapter 7: 7.10, 7.14</li>
<li>Chapter 9: 9.9</li>
<li>Chapter 13: 13.1-13.3, 13.5-13.6</li>
<li>Chapter 14: 14.1</li>
<li>Chapter 15: 15.13, 15.14</li>
<li>Chapter 16: 16.1, 16.3, 16.15, 16.17</li>
<li>Chapter 17: 17.3</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-122</li>
<li>p. 222-243</li>
<li>p. 254-280</li>
<li>p. 305-335</li>
<li>p. 342-355</li>
<li>p. 357-359</li>
<li>p. 365-370</li>
<li>p. 500-544</li>
<li>p. 586-601</li>
<li>p. 630-657</li>
<li>p. 665-684</li>
<li>p. 713-728</li>
<li>p. 850-855</li>
</ul></li>
</ul>
<h2 id="Causality"><a class="hanchor" href="#Causality">“Causality”</a></h2>
<p>Strictly speaking, “Causality” by Judea Pearl is not a textbook,
since it does not include exercises. It is nonetheless included here
because I wrote flashcards for it.</p>
<ul>
<li><a href="./flash/causality.apkg">Flashcards</a>
<ul>
<li>p. 1-125</li>
<li>p. 155-223</li>
</ul></li>
<li>Read:
<ul>
<li>p. 1-125</li>
<li>p. 155-223</li>
</ul></li>
</ul>
<h2 id="The_Jazz_Piano_Book"><a class="hanchor" href="#The_Jazz_Piano_Book">“The Jazz Piano Book”</a></h2>
<ul>
<li><a href="./flash/the_jazz_piano_book.apkg">Flashcards</a>
<ul>
<li>p. 1-26</li>
</ul></li>
<li><a href="./tjpb_exercises.html">Exercises</a></li>
<li>Read:
<ul>
<li>p. 1-26</li>
</ul></li>
</ul>
</body></html>