Numerical Methods involves algorithms and techniques for solving mathematical problems numerically rather than analytically.
Nonlinear equations are equations where the variable is raised to a power or appears inside functions like sines, cosines, or exponentials. Unlike simple linear equations, these can be tough or even impossible to solve exactly.
Many equations, like \( x = \cos(x) \), can't be solved with algebra. Numerical methods give us an approximate answer quickly!
These techniques are vital in engineering, physics, and anywhere computers are used to solve tough equations.
Finding the temperature at which a chemical reaction starts using the Newton-Raphson method.
Solving \( x^3 - x - 2 = 0 \) when you can't factor it easily.
Numerical methods help us find roots of tricky equations using simple, repeatable steps.