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Menampilkan 1–3 dari 3 artikel
Adaptive Algorithmic Simulation for Nonlinear Eigenvalue Problems in Mathematical Physics
Abid Nurhuda
; Ali Anhar Syi’bul Huda
; Syeda Azwa Asif
International Journal of Applied Mathematics and Computing
Vol 2
, No 2
(2025)
Nonlinear eigenvalue problems (NEPs) pose significant challenges in mathematical physics and other computational applications due to their nonlinear nature, which makes analytical solutions difficult to obtain. NEPs are encountered in various scientific and engineering fields, including signal processing, electronic structure calculations, and structural optimization. This study aims to explore the application of adaptive algorithms in solving nonlinear eigenvalue problems, with a primary focus...
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Evaluating the Impact of Distributed Solar-Battery Systems on Urban Electricity Resilience and Community Carbon Emissions Reduction
Idi Jang Acik
; Soleman
; Syeda Azwa Asif
International Journal of Engineering and Applied Science
Vol 2
, No 1
(2025)
This study evaluates the impact of distributed solar-battery systems on urban electricity resilience and community carbon emissions reduction. As urban areas continue to grow, the demand for electricity has placed considerable strain on traditional centralized grids, resulting in increased vulnerabilities. The integration of decentralized energy resources (DERs), particularly solar photovoltaic (PV) systems paired with battery energy storage systems (BESS), has emerged as a promising solution to...
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Optimization of Numerical Algorithms for Solving Large Linear Equation Systems in Industrial Mathematical Computing
M Bastian
; Putry Wahyu Setyaningsih
; Syeda Azwa Asif
International Journal of Applied Mathematics and Computing
Vol 1
, No 4
(2024)
The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and even quantum platforms. Recent studies demonstrate that optimized algorithms can reduce computation time by more than 50% while maintaining high accuracy in solving high-dimensional problems. LU decompo...
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