Numerical Methods involves algorithms and techniques for solving mathematical problems numerically rather than analytically.
Sometimes, we can't find the derivative or integral of a function using calculus rules. That's where numerical differentiation and integration come in handy!
We estimate the slope of a function at a point using nearby values. The simplest formula is:
\[ f'(x) \approx \frac{f(x+h) - f(x)}{h} \]
where \( h \) is a small number.
We estimate the area under a curve by breaking it into small pieces.
From predicting how much fuel a car uses, to finding the area under a curve on a graph, these methods are everywhere!
Estimating the speed of a car at a specific moment using sensor data.
Calculating the distance traveled by a spaceship using discrete velocity readings.
Numerical differentiation and integration help us estimate slopes and areas when calculus is too hard or impossible to use.