In this paper, we discuss the convergence of two time window discretization methods for the traveling salesman problem with time window constraints. These methods are general and can be applied to other vehicle routing and scheduling problems with time windows. The first method provides a feasible solution to the problem while the second provides a lower bound for the minimization problem. Anal...

Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...

seismic attribute is a quantitative measure of an interested seismic characteristic. there are several seismic attributes. in recent years, time-frequency (tf) attributes have been developed which to reach them, tf analyzing of seismic data is required. a high resolution tf representation (tfr) can yield more accurate tf attributes. there are several tfr methods including short-time fourier tra...

land surface temperature (lst) is a significant parameter for many applications. many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. each algorithm is developed for a limited study area andapplication. in this paper, as part of developing an optimal split-window m...