Numerical solution of first kind Fredholm integral equations with semi-smooth kernel: A two-stage iterative approach
This paper examines two-stage iterative methods, specifically the Geometric Mean (GM) method and its variants, for solving dense linear systems associated with first-kind Fredholm integral equations with semi-smooth kernels. These equations, characterised by ill-posedness and sensitivity to input pe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43051/1/Numerical%20solution%20of%20first%20kind%20Fredholm%20integral%20equations%20with%20semi-smooth%20kernel.pdf http://umpir.ump.edu.my/id/eprint/43051/ https://doi.org/10.1016/j.rinam.2024.100520 https://doi.org/10.1016/j.rinam.2024.100520 |
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| Summary: | This paper examines two-stage iterative methods, specifically the Geometric Mean (GM) method and its variants, for solving dense linear systems associated with first-kind Fredholm integral equations with semi-smooth kernels. These equations, characterised by ill-posedness and sensitivity to input perturbations, are discretised using a composite closed Newton-Cotes quadrature scheme. The study evaluates the computational performance and accuracy of the standard GM method, also referred to as the Full-Sweep Geometric Mean (FSGM), in comparison with the Half-Sweep Geometric Mean (HSGM) and Quarter-Sweep Geometric Mean (QSGM) methods. Numerical experiments demonstrate significant reductions in computational complexity and execution time while maintaining high solution accuracy. The QSGM method achieves the best performance among the tested methods, highlighting its effectiveness in addressing computational challenges associated with first-kind Fredholm integral equations. |
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