Dynamics of Mandelbrot set with Transcendental Function
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 5
Abstract
These days Mandelbrot set with transcendental function is an interesting area for mathematicians. New equations have been created for Mandelbrot set using trigonometric, logarithmic and exponential functions. Earlier, Ishikawa iteration has been applied to these equations and generate new fractals named as Relative Superior Mandelbrot Set with transcendental function. In this paper, the Mann iteration is being applied on Mandelbrot set with sine function i.e. sin(zn)+c and new fractals with the concept of Superior Transcendental Mandelbrot Set will be shown. Our goal is to focus on the less number of iterations which are required to obtain fixed point of function sin(zn)+c.
Authors and Affiliations
Shafali Agarwal, Gunjan Srivastava, Dr. Ashish Negi
Keywords
Related Articles
- EP ID EP156022
- DOI -
- Views 101
- Downloads 0
Applying Cellular Automata for Simulating and Assessing Urban Growth Scenario Based in Nairobi, Kenya
This research explores urban growth based scenarios for the city of Nairobi using a cellular automata urban growth model (UGM). African cities have experienced rapid urbanization over the last decade due to increased pop...
Performance Evaluation of Routing Protocol (RPL) for Internet of Things
Recently, Internet Engineering Task Force (IETF) standardized a powerful and flexible routing protocol for Low Power and Lossy Networks (RPL). RPL is a routing protocol for low power and lossy networks in the Internet of...
Using a Cluster for Securing Embedded Systems
In today's increasingly interconnected world, the deployment of an Intrusion Detection System (IDS) is becoming very important for securing embedded systems from viruses, worms, attacks, etc. But IDSs face many challenge...
ATAM: Arabic Traffic Analysis Model for Twitter
Harvesting Twitter for insight and meaning in what is called sentiment analysis (SA) is a major trend stemming from computational linguistics and AI. Industry and academia are interested in maximizing efficiency while mi...
Knowledge discovery from database using an integration of clustering and classification
Clustering and classification are two important techniques of data mining. Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the...