This paper describes a new sequential diagnosis algorithm for hypercubes. The algorithm is based on the PMC model and it assumes the existence of a central observer for syndrome decoding. If we denote the total number of processors in a given hypercube by \(N\), then the algorithm achieves \(\theta(
β¦ LIBER β¦
A linear time pessimistic one-step diagnosis algorithm for hypercube multicomputer systems
β Scribed by Tao Dong
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 155 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0167-8191
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A Linear Time Algorithm for Sequential D
β
S. Khanna; W.K. Fuchs
π
Article
π
1995
π
Elsevier Science
π
English
β 520 KB
A dynamic programming algorithm for inpu
β
Lars J.L. NordstrΓΆm
π
Article
π
2006
π
Elsevier Science
π
English
β 837 KB
A time domain input estimation algorithm for linear systems with general time-varying parameters is developed. The algorithm is an extension of an existing approach for time-invariant state space models and several new features, such as higher order input approximations and an extended time-variant
A new perspective on criteria and algori
β
Zhijian Ji; Hai Lin; Tong Heng Lee
π
Article
π
2009
π
Elsevier Science
π
English
β 953 KB