Quote of the Day
If you enjoy programming, philosophy, math, or any number of geeky topics, you're in the right place. Every day, I'll post a random quote from my extensive collection of Kindle highlights. Quotes do not necessarily reflect my views or opinions. In fact, part of my epistemic process is to consume a wide variety of contradictory material.
10/15/2020
For the physicist or engineer, two systems that obey the same equations have a kind of identity-or at least an analogy. And that, after all, is all our word analog means. A digital watch is nothing like the sun; an analog watch is the memory of a shadow’s circuit around a dial.
— Jimmy Soni and Rob Goodman, A Mind at Play
10/14/2020
In 1965 in a paper beautifully titled “Path, Trees and Flowers,” Edmonds developed a bit more complicated method for finding the augmenting paths in general friendship diagrams. … Edmonds goes into a long digression on the nature of an efficient algorithm. While he realizes that no formal definition can completely capture the intuitive idea of efficiency, he suggests a notion of efficiency by having a procedure that uses computation time that is “algebraic” in the size of the problem, for example, 100^4 or 100^2 or 100^12. Later this class of problems would become known as P (for “polynomial,” which replaced Edmond’s “algebraic”) and come to represent problems we can solve efficiently. That’s the P side of the P versus NP question.
— Lance Fortnow, The Golden Ticket
10/13/2020
There’s two kinds of people in the world, those that do work and those who take credit. Keep in the first group—there’s much less competition there.
— Gerald Weinberg, Donald C. Gause and Sally Cox, Are You Lights On?
10/12/2020
I don’t know what’s the matter with people: they don’t learn by understanding; they learn by some other way—by rote, or something. Their knowledge is so fragile!
— Richard P.Feyman, Ralph Leighton, Edward Hutchings and Albert R. Hibbs, “Surely You’re Joking, Mr. Feyman!”
10/11/2020
Taking the time to evaluate which problem to solve is one of the best predictors I’ve found of a team’s long-term performance.
— Will Larson, An Elegant Puzzle
1707 post articles, 342 pages.