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GPGPU Programming for Games and Science
book

GPGPU Programming for Games and Science

by David H. Eberly
August 2014
Intermediate to advanced
469 pages
16h 30m
English
A K Peters/CRC Press
Content preview from GPGPU Programming for Games and Science
90 GPGPU Programming for Games and Science
The0-indexrootestimateis4.4253494e + 33, which is quite large in
magnitude, and the polynomial value at the root is 2.0068245e+22, which is
also quite large in magnitude. When you first see the result, you will probably
tell yourself that there is a bug somewhere in your code. However, observe that
the next-down and next-up values for the estimated root have opposite-sign
polynomial values, so the infinite-precision root is bounded by next-up and
next-down. Moreover, the magnitude of the polynomial value at the estimated
root is smaller than the magnitudes of the polynomial values at the neighbors.
This is the best you can do.
This example just emphasizes how sparse the floating-point numbers are
on the rea
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Publisher Resources

ISBN: 9781466595354