A comparison of process specifications using the languages SDL and ERPAL

Download
1994
Sezgin, Ali

Suggestions

A comparison of heuristics for scheduling with discounted csah flows and progress payments
Sumer, Ayca Evin; Sepil, Canan; Department of Industrial Engineering (1996)
A Comparison of sparse signal recovery and approximate bayesian inference methods for sparse channel estimation
Uçar, Ayla; Candan, Çağatay; Department of Electrical and Electronics Engineering (2015)
The concept of sparse representation is one of the central methodologies of modern signal processing and it has had significant impact on numerous application fields such as communications and imaging. Sparsity expresses the idea that the information rate of a continuous time signal may be much smaller than suggested by its bandwidth, or that a discrete time signal depends on a number of degrees of freedom which is comparably much smaller than its (finite) length. With recent advances in sparse signal estim...
A comparison of the performaces of neural optimizers through a design for playing tic-tac-toe.
Sungur, Mert; Halıcı, Halil; Department of Electrical and Electronics Engineering (1992)
A comparison of existing methodologies for public sector project appraisal
Fığlalı, Ayşegül; Arıkan, Yıldız; Department of Industrial Engineering (1989)
A comparison of some selected linear model simplification methods.
Barın, Halil; Department of Mechanical Engineering (1978)
Citation Formats
A. Sezgin, “A comparison of process specifications using the languages SDL and ERPAL,” Middle East Technical University, 1994.