Focuses on finding the minimum number of arithmetic operations needed to perform the computation and on finding a better algorithm when improvement is possible. The author concentrates on that class of problems concerned with computing a system of bilinear forms.
Results that lead to applications in the area of signal processing are emphasized, since (1) even a modest reduction in the execution time of signal processing problems could have practical significance; (2) results in this area are relatively new and are scattered in journal articles; and (3) this emphasis indicates the flavor of complexity of computation.
Author(s): Shmuel Winograd
Series: CBMS-NSF Regional Conference Series in Applied Mathematics
Publisher: Society for Industrial Mathematics
Year: 1987
Language: English
Pages: 100
Arithmetic Complexity of Computations......Page 3
ISBN 0-89871-163-0......Page 4
Contents......Page 5
I Introduction......Page 7
II Three Examples......Page 9
III General Background......Page 13
IV Product of Polynomials......Page 31
V FIR Filters......Page 45
VI Product of Polynomials Modulo a Polynomial......Page 63
VII Cyclic Convolution and Discrete Fourier Transform......Page 77
Bibliography......Page 99