'Fast multiplication' presentation slideshows

Yonsei Univ. at Wonju Dept. of Mathematics ???? Discrete Mathematics Prof. Gab-Byung Chae

312 views • 31 slides

Yonsei Univ. at Wonju Dept. of Mathematics ???? Discrete Mathematics Prof. Gab-Byung Chae

Yonsei Univ. at Wonju Dept. of Mathematics ???? Discrete Mathematics Prof. Gab-Byung Chae. Slides for a Course Based on the Text Discrete Mathematics & Its Applications (6 th Edition) by Kenneth H. Rosen. Module #17: Recurrence Relations. Rosen 6 th ed., ~29 slides, ~1.5 lecture.

312 views • 31 slides

Module #17: Recurrence Relations

425 views • 30 slides

CSC 490 - Senior Seminar I

359 views • 24 slides

Fast Fourier Transform

Fast Fourier Transform. Irina Bobkova. Overview. I. Polynomials II. The DFT and FFT III. Efficient implementations IV. Some problems. Representation of polynomials. A polynomial in the variable x over an algebraic field F is representation of a function A(x) as a formal sum

593 views • 18 slides

Applications of Shift and Rotate Instructions

Applications of Shift and Rotate Instructions. SHLD/SHRD instructions The SHLD (Shift Left Double) instructions shifts a destination operand a given number of bits to the left. The bit positions opened up by the shift are filled by the most significant bits of the source operand.

1.25k views • 18 slides

Arithmetic

Arithmetic. I. Fast Multiplication and the Master Theorem on Divide and Conquer. How fast can we multiply?. Adding two n -bit numbers takes O(n ) operations How many operations to multiply two n -bit numbers? Or two n -decimal-digit numbers

317 views • 15 slides

CMSC 203 / 0201 Fall 2002

136 views • 13 slides

7.3 Divide-and-Conquer Algorithms and Recurrence Relations

7.3 Divide-and-Conquer Algorithms and Recurrence Relations. If f(n) represents the number of operations required to solve the problem of size n, it follow that f satisfies the recurrence relation f(n) = af (n/b) + g(n)

132 views • 13 slides