Certain contributions to wavelet analysis and its applications
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Abstract
This thesis is dedicated to presenting approximate solutions to several mathematical
newlineproblems that are either unsolved or require the most accurate solutions with minimal
newlinecomputational cost and time. The most accurate structure is defined accordingly. Chap
newlineter 1 and Chapter 2 are presented for the introduction and the review of literature.
newlineIn Chapter 3 of this study, we have presented a mathematical model representing the
newlinespread of HIV and COVID-19 diseases. These two models were analyzed simultane
newlineously to understand the exact transmission behavior, with the primary objective of this
newlinestudy being to provide a more accurate, efficient, and less time-consuming solution to
newlinethese models, described by a system of coupled nonlinear differential equations. The
newlinemethod used to address these problems is primarily based on the operational matrix of
newlineintegration of Fibonacci wavelets. The Fibonacci wavelet approximation, along with the
newlineapplication of the operational matrix andthecollocation technique, results in a system of
newlinealgebraic equations, which are further solved using the Newton-Raphson method or an
newlineother suitable iterative method to finally express the Fibonacci wavelet solution for the
newlinegiven mathematical models. Convergence analysis is also provided to demonstrate that
newlinethe approximation we assume in the methodology uniformly converges to the function
newlineitself. Figures and tables are included to compare and validate the results of the pro
newlineposed methodology. All these operations are implemented and executed using the latest
newlineversion of MATLAB software.
newlineIn Chapters 4 and 5, we present the general form of a well-known singular differential
newlineequation under various physical conditions, as well as the Fredholm integro-differential
newlineequation for analysis. These two problems were assumed to be solved numerically using
newlinean approximation process involving a new and specific type of wavelet called the Taylor
newlinewavelet. The use of this wavelet is absolutely remarkable, and the outcomes are sur
newlineprisingly accurate when applied to these pro