
<abstract><p>This paper investigates fractional-order partial differential equations analytically by applying a modified technique called the Laplace residual power series method. The analytical solution was utilized to test the accuracy and precision of the proposed methodologies and shown by tables and graphs. The solution is a convergent series established on Taylor's new form. When determining the series coefficients like RPSM, the fractional derivatives must be calculated every time. We only need to perform a few computations to obtain the coefficients because LRPSM only requires the concept of an infinite limit. The advantage of this method is that it does not require Adomian polynomials or he's polynomials to solve nonlinear problems. As a result, the method's reduced computation size is a strength. The outcome we got supports the idea that the suggested method is the best one for handling any non-linear models that appear in technology and science.</p></abstract>
Convergent series, Laplace transform, fractional-order partial differential equations, Mathematical analysis, Quantum mechanics, Differential equation, QA1-939, FOS: Mathematics, Series (stratigraphy), Taylor series, Biology, Anomalous Diffusion Modeling and Analysis, Physics, Paleontology, Power series, Limit (mathematics), Applied mathematics, residual power series, Algorithm, Fractional Derivatives, caputo operator, Modeling and Simulation, Residual, Physical Sciences, Computation, Nonlinear system, laplace transform, Fractional Calculus, Adomian decomposition method, Mathematics
Convergent series, Laplace transform, fractional-order partial differential equations, Mathematical analysis, Quantum mechanics, Differential equation, QA1-939, FOS: Mathematics, Series (stratigraphy), Taylor series, Biology, Anomalous Diffusion Modeling and Analysis, Physics, Paleontology, Power series, Limit (mathematics), Applied mathematics, residual power series, Algorithm, Fractional Derivatives, caputo operator, Modeling and Simulation, Residual, Physical Sciences, Computation, Nonlinear system, laplace transform, Fractional Calculus, Adomian decomposition method, Mathematics
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