The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
An Efficient Method for Generating Discrete Random Variables with General Distributions
ACM Transactions on Mathematical Software (TOMS)
Adventures in the fourth dimension
Computing in Science and Engineering
Computing in Science and Engineering
Scientific Forth: A Modern Language for Scientific Computing
Scientific Forth: A Modern Language for Scientific Computing
Computing in Science and Engineering
Gauss-Legendre Principal Value Integration
Computing in Science and Engineering
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This is my inaugural column as coeditor of Computing Prescriptions, although not my first appearance here (I wrote a guest column a couple of years ago). So, a word of self-introduction is in order. Back in the summer of 1960, while interning at Grumman Aircraft, I was assigned to learn the new language Fortran so that I could program the company's brand-new IBM 704. The rules of engagement were arcane-you wrote out the program on an official IBM programmer's pad, submitted it to the keypunch operators, and (if the Force were with you) got back a punched deck several days later. Then the fun began. Imagine debugging on a system with three-day job turnaround!