2022
DOI: 10.1007/s00500-021-06565-9
|View full text |Cite
|
Sign up to set email alerts
|

Crank–Nicolson method for solving uncertain heat equation

Abstract: For usual uncertain heat equations, it is challenging to acquire their analytic solutions. A forward difference Euler method has been used to compute the uncertain heat equations’ numerical solutions. Nevertheless, the Euler scheme is instability in some cases. This paper proposes an implicit task to overcome this disadvantage, namely the Crank–Nicolson method, which is unconditional stability. An example shows that the Crank–Nicolson scheme is more stable than the previous scheme (Euler scheme). Moreover, the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…The extensive adoption of the Crank-Nicolson method for solving heat transfer equations is grounded in the observation that, in certain instances, numerical solutions obtained through the explicit finite difference method display instabilities that can be resolved by employing the Crank-Nicolson method for numerical computations. The Crank-Nicolson method has been demonstrated to possess greater stability compared to the explicit finite difference method and is capable of determining both the expected and extreme values within the context of heat transfer equations [11,12,13].…”
Section: Introductionmentioning
confidence: 99%
“…The extensive adoption of the Crank-Nicolson method for solving heat transfer equations is grounded in the observation that, in certain instances, numerical solutions obtained through the explicit finite difference method display instabilities that can be resolved by employing the Crank-Nicolson method for numerical computations. The Crank-Nicolson method has been demonstrated to possess greater stability compared to the explicit finite difference method and is capable of determining both the expected and extreme values within the context of heat transfer equations [11,12,13].…”
Section: Introductionmentioning
confidence: 99%