Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Highlights? Error analysis and numerical experiments demonstrate the efficiency of our method for time fractional diffusion equations. ? Our method avoids costly convolution integral calculation and dilemmatic selection of time step size. ? A truly boundary-only meshless method is applied to Laplace-transformed inhomogeneous problem. ? Our method effectively simulates 3D long time-history fractional diffusion systems.  develops a novel boundary meshless approach, Laplace transformed boundary particle method (LTBPM), for numerical modeling of time fractional diffusion equations. It implements Laplace transform technique to obtain the corresponding time-independent inhomogeneous equation in Laplace space and then employs a truly boundary-only meshless boundary particle method (BPM) to solve this Laplace-transformed problem. Unlike the other boundary discretization methods, the BPM does not require any inner nodes, since the recursive composite multiple reciprocity technique (RC-MRM) is used to convert the inhomogeneous problem into the higher-order homogeneous problem. Finally, the Stehfest numerical inverse Laplace transform (NILT) is implemented to retrieve the numerical solutions of time fractional diffusion equations from the corresponding BPM solutions. In comparison with finite difference discretization, the LTBPM introduces Laplace transform and Stehfest NILT algorithm to deal with time fractional derivative term, which evades costly convolution integral calculation in time fractional derivation approximation and avoids the effect of time step on numerical accuracy and stability. Consequently, it can effectively simulate long time-history fractional diffusion systems. Error analysis and numerical experiments demonstrate that the present LTBPM is highly accurate and computationally efficient for 2D and 3D time fractional diffusion equations.
['Zhuo-Jia Fu', 'Wen Chen', 'Haitian Yang']
I am writing a research paper on a idea Boundary particle method for Laplace transformed time fractional diffusion equations
[{"from": "human", "value": "I am writing a research paper on a idea Boundary particle method for Laplace transformed time fractional diffusion equations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Highlights? Error analysis and numerical experiments demonstrate the efficiency of our method for time fractional diffusion equations. ? Our method avoids costly convolution integral calculation and dilemmatic selection of time step size. ? A truly boundary-only meshless method is applied to Laplace-transformed inhomogeneous problem. ? Our method effectively simulates 3D long time-history fractional diffusion systems.  develops a novel boundary meshless approach, Laplace transformed boundary particle method (LTBPM), for numerical modeling of time fractional diffusion equations. It implements Laplace transform technique to obtain the corresponding time-independent inhomogeneous equation in Laplace space and then employs a truly boundary-only meshless boundary particle method (BPM) to solve this Laplace-transformed problem. Unlike the other boundary discretization methods, the BPM does not require any inner nodes, since the recursive composite multiple reciprocity technique (RC-MRM) is used to convert the inhomogeneous problem into the higher-order homogeneous problem. Finally, the Stehfest numerical inverse Laplace transform (NILT) is implemented to retrieve the numerical solutions of time fractional diffusion equations from the corresponding BPM solutions. In comparison with finite difference discretization, the LTBPM introduces Laplace transform and Stehfest NILT algorithm to deal with time fractional derivative term, which evades costly convolution integral calculation in time fractional derivation approximation and avoids the effect of time step on numerical accuracy and stability. Consequently, it can effectively simulate long time-history fractional diffusion systems. Error analysis and numerical experiments demonstrate that the present LTBPM is highly accurate and computationally efficient for 2D and 3D time fractional diffusion equations."}]