2023
DOI: 10.1016/j.enganabound.2023.05.015
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An accurate RBF–based meshless technique for the inverse multi-term time-fractional integro-differential equation

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Cited by 10 publications
(1 citation statement)
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“…For a fixed positive number ht=tl+1tl$$ {h}_t={t}_{l+1}-{t}_l $$, the grid points in the time interval false[0,Tfalse]$$ \left[0,T\right] $$ are labeled tl=lht$$ {t}_l=l{h}_t $$. It is well known that the approximation of the first‐ and second‐order derivatives is as follows [26] alignleftalign-12Cl+1t2align-2Cl+12Cl+Cl1ht2,align-1Cl+1talign-2Cl+1Cl12ht,$$ {\displaystyle \begin{array}{ll}\frac{\partial^2{C}^{l+1}}{\partial {t}^2}& \approx \frac{C^{l+1}-2{C}^l+{C}^{l-1}}{h_t^2},\\ {}\frac{\partial {C}^{l+1}}{\partial t}& \approx \frac{C^{l+1}-{C}^{l-1}}{2{h}_t},\end{array}} $$ where Cl+1=Cfalse(bold-italicx,tl+1false)$$ {C}^{l+1}=C\left(\boldsymbol{x},{t}_{l+1}\right) $$. Also we employ the following approximations by using the CN technique: …”
Section: The Time Discretization Approximationmentioning
confidence: 99%
“…For a fixed positive number ht=tl+1tl$$ {h}_t={t}_{l+1}-{t}_l $$, the grid points in the time interval false[0,Tfalse]$$ \left[0,T\right] $$ are labeled tl=lht$$ {t}_l=l{h}_t $$. It is well known that the approximation of the first‐ and second‐order derivatives is as follows [26] alignleftalign-12Cl+1t2align-2Cl+12Cl+Cl1ht2,align-1Cl+1talign-2Cl+1Cl12ht,$$ {\displaystyle \begin{array}{ll}\frac{\partial^2{C}^{l+1}}{\partial {t}^2}& \approx \frac{C^{l+1}-2{C}^l+{C}^{l-1}}{h_t^2},\\ {}\frac{\partial {C}^{l+1}}{\partial t}& \approx \frac{C^{l+1}-{C}^{l-1}}{2{h}_t},\end{array}} $$ where Cl+1=Cfalse(bold-italicx,tl+1false)$$ {C}^{l+1}=C\left(\boldsymbol{x},{t}_{l+1}\right) $$. Also we employ the following approximations by using the CN technique: …”
Section: The Time Discretization Approximationmentioning
confidence: 99%