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. <P>Results that lead to applicati
Arithmetic complexity of computations
β Scribed by Shmuel Winograd
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 100
- Series
- CBMS-NSF regional conference series in applied mathematics 33
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
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. <P>Results that lead to applicati
This monograph focuses on finding the minimum number of arithmetic operations needed to compute the solution to a system of bilinear forms, and on finding a better algorithm for such computations. The author concentrates on results applicable in the area of signal processing. Two reasons for this ar
This book principally concerns the rapidly growing area of what might be termed "Logical Complexity Theory": the study of bounded arithmetic, propositional proof systems, length of proof, and similar themes, and the relations of these topics to computational complexity theory. Issuing from a two-ye
xii, 428 p. ; 25 cm