Linked by Eugenia Loli-Queru on Sat 18th Mar 2006 00:20 UTC
"I've been working for the past 15 months on repairing my rusty math skills, ever since I read a biography of Johnny von Neumann. I've read a huge stack of math books, and I have an even bigger stack of unread math books. And it's starting to come together. Let me tell you about it," writes programmer Steve Yegge.
Thread beginning with comment 105492
To view parent comment, click here.
To read all comments associated with this story, please click here.
To view parent comment, click here.
To read all comments associated with this story, please click here.
RE[2]: Math For Programmers
by someone on Sat 18th Mar 2006 02:20
in reply to "RE: Math For Programmers"
Member since:2006-01-12
Recent Original Stories
Recent Comments
Headlines
Random Comments
Random Stories
Random OS Link
Member since:
2006-02-08
I agree with the author on the need for discrete math.
At least in my research area in grad school (networks), pretty much everything is discrete.
Well, from a computer science standpoint, all operations in a computer are discrete too. Floating point math is in radix form - just ones and zeros. Continuous functions with respect to a computer is just nth order approximations such that the answer is within some minimum error bound.
So discrete math is probably the most useful thing for CS students with regards to programming well.
P.S. At least for China, as someone has mentioned, do teach US/Canada college level math in high school, it's leans towards the Calculus side of things than probability and discrete math.