8.333 Statistical Mechanics I: Statistical Mechanics of Particles Statistical Mechanics I: Lecture 2 by
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6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others Chapter 25: Evaluating R(D). Lossy Source-Channel Separation by
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Online text: ocw.mit.edu/courses/6-441-information-theory-spring-2016/5721b7df786b416dadad7c7bb3364d00_MIT6_441S16_chapter_25.pdf
Cited passages: §25.1.1, Bernoulli Source, printed p. 255: binary Hamming distortion, achievable backward test channel and converse.
6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others Chapter 24: Rate Distortion: Achievability Bounds by
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6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others Chapter 23: Rate-Distortion Theory by
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Online text: ocw.mit.edu/courses/6-441-information-theory-spring-2016/880c39878ba7dc35a5fbb35758d42a69_MIT6_441S16_chapter_23.pdf
Cited passages: §23.2, Definition 23.1 and Theorem 23.2, printed pp. 242–243: reconstruction alphabets, separable distortion and the information converse.
6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others Chapter 2: Information Measures: Mutual Information by
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Online text: ocw.mit.edu/courses/6-441-information-theory-spring-2016/184197ca5d5418da2415d37e929860b9_MIT6_441S16_chapter_2.pdf
Cited passages: Section 2.4, Definition 2.4 and Theorem 2.5(1), printed pp. 26–27; Theorem 2.1, printed p. 20; Theorem 2.3(1,3), printed p. 23; Theorem 2.4(2) and Corollary 2.4, printed p. 24; Theorem 2.4(1) and its proof, printed p. 24: I(X;X) is infinite for a non-discrete distribution; Theorem 2.4(3), printed p. 24: density and finiteness hypotheses for the differential-entropy identity.
6.441 Information Theory (Spring 2016 lecture notes) by Yury Polyanskiy and others Chapter 1: Information Measures: Entropy and Divergence by
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Online text: pdos.csail.mit.edu/6.1810/2022/labs/cow.html
6.006 Introduction to Algorithms, Fall 2011 by Massachusetts Institute of Technology, 6.006 course staff Lecture 14: Graphs II: Depth-First Search by
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Online text: ocw.mit.edu/courses/6-006-introduction-to-algorithms-fall-2011/e59f8a55929028498953691891229a17_MIT6_006F11_lec14.pdf
Cited passages: Lecture 14: Graphs II: Depth-First Search, printed pp. 3–4: stack-duration marks and cycle detection; MIT 6.006, lecture 14: depth-first search, pp. 2–3.
6.006 Introduction to Algorithms, Fall 2011 by Massachusetts Institute of Technology, 6.006 course staff Lecture 9: Hashing II by
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6.006 Introduction to Algorithms, Fall 2011 by Massachusetts Institute of Technology, 6.006 course staff Lecture 8: Hashing I by
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Online text: ocw.mit.edu/courses/6-006-introduction-to-algorithms-fall-2011/d3e4d64266d481c74c9e7c15e09999fe_MIT6_006F11_lec08.pdf
6.005 Software Construction, Spring 2016 Reading 13: Abstraction Functions & Rep Invariants by
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Online text: ocw.mit.edu/ans7870/6/6.005/s16/classes/13-abstraction-functions-rep-invariants/index.html
Cited passages: Reading 13, How to Establish Invariants: creation, preservation and absence of representation exposure; Reading 13, Invariants, Immutability: mutable aliases through both returned values and constructor arguments; Reading 13, Rep Invariant and Abstraction Function: representation values, abstract values, AF and RI.
254A – analytic prime number theory 254A, Notes 2: Complex-analytic multiplicative number theory by
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254A – analytic prime number theory 254A, Notes 1: Elementary multiplicative number theory by
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By Terence Tao.
Online text: terrytao.wordpress.com/2014/11/23/254a-notes-1-elementary-multiplicative-number-theory/
Cited passages: Terence Tao, 254A Notes 1, Section 2, definition following equation (20); Terence Tao, 254A Notes 1, Section 2, equations (19)–(20).
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