Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
The chapter discusses the Adams-Bashforth method, an explicit multistep technique for the numerical solution of ordinary differential equations (ODEs). It highlights the advantages of using such methods for accurate long-term integrations while addressing their limitations regarding stability and initialization. The chapter concludes with insights on the accuracy, error analysis, and applications of the Adams-Bashforth method across various fields.
References
unit 5 ch8.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Multistep Methods
Definition: Techniques that utilize multiple previous points to compute the next value of a solution for algorithms dealing with ODEs.
Term: AdamsBashforth Method
Definition: An explicit predictor-based multistep method that estimates future values of a function using its previous derivative values.
Term: Local Truncation Error (LTE)
Definition: The error made in one step of a numerical method, indicating how the numerical solution compares to the exact solution at that step.
Term: Global Error
Definition: The total error of a numerical solution over all steps, summing up the local errors.
Term: Explicit Methods
Definition: Numerical methods where the next value is calculated directly from known previous values.
Term: Implicit Methods
Definition: Numerical methods where the next value depends on itself, leading to potential complexities in solving.