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323 articles Visit blog →

241. Dynamic Time Warping for Sequence Comparison (www.jeremykun.com)

Problem: Write a program that compares two sequences of differing lengths for similarity. Solution: (In Python) import math def dynamicTimeWarp(seqA, seqB, d = lambda x,y: abs(x-y)): # create the cost matrix numRows, numCols = len(seqA), len(seqB) cost = [[0 for _ in range(numCols)] for _ in range(n...

242. The Fast Fourier Transform (www.jeremykun.com)

It’s often said that the Age of Information began on August 17, 1964 with the publication of Cooley and Tukey’s paper, “An Algorithm for the Machine Calculation of Complex Fourier Series.” They published a landmark algorithm which has since been called the Fast Fourier Transform algorithm, and has s...

243. Principal Component Analysis (www.jeremykun.com)

Problem: Reduce the dimension of a data set, translating each data point into a representation that captures the “most important” features. Solution: in Python import numpy def principalComponents(matrix): # Columns of matrix correspond to data points, rows to dimensions. deviationMatrix = (matrix.T...

244. The Discrete Fourier Transform — A Primer (www.jeremykun.com)

So here we are. We have finally made it to a place where we can transition with confidence from the classical continuous Fourier transform to the discrete version, which is the foundation for applications of Fourier analysis to programming. Indeed, we are quite close to unfurling the might of the Fa...

245. Streaming Median (www.jeremykun.com)

Problem: Compute a reasonable approximation to a “streaming median” of a potentially infinite sequence of integers. Solution: (in Python) def streamingMedian(seq): seq = iter(seq) m = 0 for nextElt in seq: if m > nextElt: m -= 1 elif m < nextElt: m += 1 yield m Discussion: Before we discuss the deta...

246. Thoughts after a Year of Math ∩ Programming (www.jeremykun.com)

After a year of writing this blog, what have I learned about the nature of the relationship between computer programs and mathematics? Here are a few notes that sum up my thoughts, roughly in order of how strongly I agree with them. I’d love to hear your thoughts in the comments. Programming is abso...

247. Generalized Functions — A Primer (www.jeremykun.com)

Last time we investigated the naive (which I’ll henceforth call “classical”) notion of the Fourier transform and its inverse. While the development wasn’t quite rigorous, we nevertheless discovered elegant formulas and interesting properties that proved useful in at least solving differential equati...

248. The Fourier Transform — A Primer (www.jeremykun.com)

In our last primer we saw the Fourier series, which flushed out the notion that a periodic function can be represented as an infinite series of sines and cosines. While this is fine and dandy, and quite a powerful tool, it does not suffice for the real world. In the real world, very little is truly ...

249. Double Angle Trigonometric Formulas (www.jeremykun.com)

Problem: Derive the double angle identities $$\sin(2\theta) = 2\sin(\theta)\cos(\theta)\\\ \cos(2\theta) = \cos^2(\theta) – \sin^2(\theta)$$ Solution: Recall from linear algebra how one rotates a point in the plane. The matrix of rotation (derived by seeing where $ (1,0)$ and $ (0,1)$ go under a rot...

250. False Proof – 2 = 4, As the Limit of an Infinite Power Tower (www.jeremykun.com)

Problem: Prove that $ 2 = 4$. Solution: Consider the value of the following infinitely iterated exponent: $$\displaystyle \sqrt{2}^{\sqrt{2}^{\sqrt{2}^{\cdot^{\cdot^{\cdot}}}}}$$ Let $ a_n = \sqrt{2} \uparrow \uparrow n$, that is, the above power tower where we stop at the $ n$-th term. Then $ a_n$ ...

251. The Fourier Series—A Primer (www.jeremykun.com)

Overview In this primer we’ll get a first taste of the mathematics that goes into the analysis of sound and images. In the next few primers, we’ll be building the foundation for a number of projects in this domain: extracting features of music for classification, constructing so-called hybrid images...

252. Kolmogorov Complexity—A Primer (www.jeremykun.com)

The Complexity of Things Previously on this blog (quite a while ago), we’ve investigated some simple ideas of using randomness in artistic design (psychedelic art, and earlier randomized css designs). Here we intend to give a more thorough and rigorous introduction to the study of the complexity of ...

253. Optimally Stacking the Deck—Texas Hold 'Em (www.jeremykun.com)

Main Theorem: There exist optimal stackings for standard two-player Texas Hold ‘Em. A Puzzle is Solved (and then some!) It’s been quite a while since we first formulated the idea of an optimal stacking. In the mean time, we’ve gotten distracted with graduate school, preliminary exams, and the host o...

254. Classic Nintendo Games are NP-Hard (www.jeremykun.com)

Problem: Prove that generalized versions of Mario Brothers, Metroid, Donkey Kong, Pokemon, and Legend of Zelda are NP-hard. Solution: http://arxiv.org/abs/1203.1895v1 Discussion: Three researchers (including Erik Demaine, a computer science professor at MIT famous for his work with the mathematics o...

255. Caching (and Memoization) (www.jeremykun.com)

Problem: Remember results of a function call which requires a lot of computation. Solution: (in Python) def memoize(f): cache = {} def memoizedFunction(*args): if args not in cache: cache[args] = f(*args) return cache[args] memoizedFunction.cache = cache return memoizedFunction @memoize def f(): ......

256. In Place Uniform Shuffle (www.jeremykun.com)

Problem: Write a program that shuffles a list. Do so without using more than a constant amount of extra space and linear time in the size of the list. Solution: (in Python) import random random.seed() def shuffle(myList): n = len(myList) for i in xrange(0, n): j = random.randint(i, n-1) # randint is...

257. Learning Programming — Finger-Painting and Killing Zombies (www.jeremykun.com)

By the end, the breadth and depth of our collective knowledge was far beyond what anyone could expect from any high school course in any subject. Education Versus Exploration I’m a lab TA for an introductory Python programming course this semester, and it’s been…depressing. I remember my early days ...

258. Other Complexity Classes (www.jeremykun.com)

Not Just Time, But Space Too! So far on this blog we’ve introduced models for computation, focused on Turing machines and given a short overview of the two most fundamental classes of problems: P and NP. While the most significant open question in the theory of computation is still whether P = NP, i...

259. P vs. NP, A Primer (And a Proof Written in Racket) (www.jeremykun.com)

Decidability Versus Efficiency In the early days of computing theory, the important questions were primarily about decidability. What sorts of problems are beyond the power of a Turing machine to solve? As we saw in our last primer on Turing machines, the halting problem is such an example: it can n...

260. Busy Beavers, and the Quest for Big Numbers (www.jeremykun.com)

Finding Bigger Numbers, a Measure of Human Intellectual Progress Before we get into the nitty gritty mathematics, I’d like to mirror the philosophical and historical insights that one can draw from the study of large numbers. That may seem odd at first. What does one even mean by “studying” a large ...

261. Fundamental Theorem of Algebra (With Picard's Little Theorem) (www.jeremykun.com)

This post assumes familiarity with some basic concepts in complex analysis, including continuity and entire (everywhere complex-differentiable) functions. This is likely the simplest proof of the theorem (at least, among those that this author has seen), although it stands on the shoulders of a high...

262. Cryptanalysis with N-Grams (www.jeremykun.com)

This post is the third post in a series on computing with natural language data sets. For the first two posts, see the relevant section of our main content page. A Childish Bit of Fun In this post, we focus on the problem of decoding substitution ciphers. First, we’ll describe a few techniques human...

263. The Fundamental Theorem of Algebra (with Galois Theory) (www.jeremykun.com)

This post assumes familiarity with some basic concepts in abstract algebra, specifically the terminology of field extensions, and the classical results in Galois theory and group theory. The fundamental theorem of algebra has quite a few number of proofs (enough to fill a book!). In fact, it seems a...

264. Handshake Lemma (www.jeremykun.com)

Problem: Prove or disprove: at a party of $ n$ people, there must be an even number of people who have an odd number of friends at the party. Solution: Let $ P$ be the set of all people, and for any person $ p \in P$, let $ d(p)$ be the number of friends that person has. Let $ f$ be the total number...

265. The Fundamental Theorem of Algebra (with the Fundamental Group) (www.jeremykun.com)

This post assumes familiarity with some basic concepts in algebraic topology, specifically what a group is and the definition of the fundamental group of a topological space. The fundamental theorem of algebra has quite a few number of proofs (enough to fill a book!). In fact, it seems a new tool in...

266. The Fundamental Theorem of Algebra (with Liouville) (www.jeremykun.com)

This proof assumes knowledge of complex analysis, specifically the notions of analytic functions and Liouville’s Theorem (which we will state below). The fundamental theorem of algebra has quite a few number of proofs (enough to fill a book!). In fact, it seems a new tool in mathematics can prove it...

267. Word Segmentation, or Makingsenseofthis (www.jeremykun.com)

A First Look at Google’s N-Gram Corpus In this post we will focus on the problem of finding the appropriate word boundaries in strings like “homebuiltairplanes”, as is common in web URLs like www.homebuiltairplanes.com. This is an interesting problem because humans do it so easily, but there is no o...

268. A Spoonful of Python (and Dynamic Programming) (www.jeremykun.com)

This primer is a third look at Python, and is admittedly selective in which features we investigate (for instance, we don’t use classes, as in our second primer on random psychedelic images). We do assume some familiarity with the syntax and basic concepts of the language. For a first primer on Pyth...

269. Numerical Integration (www.jeremykun.com)

Rectangles, Trapezoids, and Simpson’s I just wrapped up a semester of calculus TA duties, and I thought it would be fun to revisit the problem of integration from a numerical standpoint. In other words, the goal of this article is to figure out how fast we can approximate the definite integral of a ...

270. Random (Psychedelic) Art (www.jeremykun.com)

And a Pinch of Python Next semester I am a lab TA for an introductory programming course, and it’s taught in Python. My Python experience has a number of gaps in it, so we’ll have the opportunity for a few more Python primers, and small exercises to go along with it. This time, we’ll be investigatin...
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