June 12, 2024Boundary Value ProblemsOpen Access

Enhanced shifted Jacobi operational matrices of integrals: spectral algorithm for solving some types of ordinary and fractional differential equations

View Full Paper

Ask AI

Bookmark

Accurate numerical solutions for initial value problems emerge from novel operational matrices, ensuring efficient calculation for complex differential systems.
Five numerical examples confirm high accuracy through rigorous error analysis, showing that approximate solutions agree closely with exact benchmarks.
Spectral collocation method architectures build operational matrices for Riemann-Liouville fractional integrals, supporting broader application to physical modeling.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Numerical study demonstrates high computational accuracy in initial value problems, highlighting efficient convergence for ordinary and fractional differential equations.

Cite This Study

H. M. Ahmed (2024) studied this question.

synapsesocial.com/papers/68e64f8fb6db6435875e0721 https://doi.org/10.1186/s13661-024-01880-0

View Full Paper

Ask AI

Bookmark

Implication

Numerical study demonstrates high computational accuracy in initial value problems, highlighting efficient convergence for ordinary and fractional differential equations.

Enhanced shifted Jacobi operational matrices of integrals: spectral algorithm for solving some types of ordinary and fractional differential equations

Key Points

Discussion

Implication

Cite This Study

Enhanced shifted Jacobi operational matrices of integrals: spectral algorithm for solving some types of ordinary and fractional differential equations

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider