Introduction: The purpose of this work is to introduce a new iteration called the modi?ed Picard-S-AK hybrid iterative scheme for approximating ?xed point for Banach contractive maps. We showed that our scheme converges to a unique ?xed point p at a rate faster than the recent AK iterative scheme for Banach contractive maps; using Java programming language, we gave some numerical examples to justify our claim. Stability and data dependence of the proposed scheme was also explored.
Introduction: A Modified Boruch-Forced Randomized Response Model. A paper presented at the 38th Annual Conference of Nigerian Mathematical Society (NMS, 2019)
Introduction: The prediction of carbon dioxide (CO2) emissions from petroleum consumption inspired and motivated this research. Over the years, the rate of emissions of CO2 continues to multiply, resulting in global warming. This paper thus proposes the use of clonal selection theory inspired algorithms; CLONALG and AIRS to forecast global CO2 emissions. The K-means algorithm divides the data into groups of similar and meaningful patterns. Comparative simulations with multi-layer Perceptron, IBk, fuzzy-rough nearest neighbor, and vaguely quantified nearest neighbor reveal that the CLONALG and AIRS produced outstanding results, and are able to generate highest detection rates and lowest false alarm rates. As such, gathering useful information with the accurate prediction of CO2 emissions can help to reduce the emission of CO2 contributions to global warming which assist in policies on climate change.