“Cellular Automation ” (CA) is a decentralized computing model providing an excellent platform for performing complex computation with the help of only local information. Researchers, scientists and practitioners from different fields have exploited the CA paradigm of local information, decentralized control and universal computation for modeling different applications. This article provides a survey of available literature of some of the methodologies employed by researchers to utilize cellular automata for modeling purposes. The survey introduces the different types of cellular automation being used for modeling and the analytical methods used to predict its global behaviour from its local configurations. It further gives a detailed sketch of the efforts undertaken to configure the local settings of CA from a given global situation; the problem, which has been

A simple, rapid, precise, accurate, sensitive and time consuming reverse phase high performance liquid chromatography (RP-HPLC) and spectrophotometric method for simultaneous estimation of atorvastatin and amlodipine in pharmaceutical dosage forms have been developed and validated. Drug was resolved on a C18 column (Phenomenex phenyl hexyl column, 250mm * 4.6mm i.d, 5um). Utilizing mobile phase of water with 0.4%v/v triethyl amine and acetonitrile with diluted orthophosphoric acid pH adjusted to 5.2 in a ratio of 52.5:47.5 of water and acetonitrile respectively. Mobile phase was delivered at the flow rate of 1.0ml/min. Ultraviolet detection was carried out at 229nm. Separation was completed within 7.75 minutes. Calibration curve was linear with correlation coefficient (r 2) =0.999. Over a concentration range 5-25ug/ml, using diclofenac 10ug/ml as IS. Recovery was between 99.26, 100.2 percentage. In spectrophotometric method it involves the formation and solvation of simultaneous equation at 242nm for Atorvastatin and 256nmfor Amlodipine using Acetonitrile and Water (10:90) as mobile phase. The