Engineering Mathematics - Numerical Analysis
Why Do You Enroll?
Elevate your academic journey with our semester-long Numerical Methods in Engineering Mathematics course! This program is tailored for students seeking to deepen their understanding of mathematical techniques essential for solving engineering problems. You'll explore key concepts such as Newton Raphson, secant method, Bisection method, cayley, and Laplace transformation, all while applying these methods to real-world scenarios. With a blend of theory and practical applications, this course prepares you for advanced studies and equips you with valuable skills for your engineering career. Joi...
Key Topics Covered
Course Details
This course is focused on engineering mathematics. After completing the tutorial, you will be able to understand the basic advantageous knowledge of numerical analysis techniques. Certain bonus lectures are also included.
This course introduces students to a range of powerful numerical methods and approximation techniques that are essential for solving complex engineering problems. Throug...
Course Content
1. Newton Raphson Method
In numerical analysis, Newton's method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function.
2. Secant Method
In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method.
3. Bisection Method
The bisection method in mathematics is a root-finding methodthat repeatedly bisects an interval and then selects a subinterval in which a root must lie for further processing. .... The method is also called the interval halving method, the binary searchmethod, or the dichotomy method.