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 delves into the Taylor Series Method, a numerical technique for solving first-order ordinary differential equations (ODEs) when analytical solutions are difficult to obtain. It involves expanding functions into an infinite series to approximate values at various points, detailing its advantages, disadvantages, and practical applications in engineering and scientific contexts. The method is foundational for more advanced techniques, despite its computational complexities.
References
unit 5 ch5.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Taylor Series
Definition: A mathematical series that represents a function as an infinite sum of terms calculated from the values of its derivatives at a single point.
Term: Ordinary Differential Equations (ODEs)
Definition: Equations involving functions and their derivatives, which describe various phenomena in engineering and science.
Term: Numerical Method
Definition: An algorithmic approach for approximating solutions to mathematical problems that may be too complex for analytical solutions.
Term: Higherorder Derivatives
Definition: Derivatives of a function beyond the first derivative, which are necessary for applying the Taylor Series Method.
Term: RungeKutta Methods
Definition: A class of iterative methods used to solve ordinary differential equations, built on principles similar to the Taylor Series Method.