Numerical Methods

Numerical Methods involves algorithms and techniques for solving mathematical problems numerically rather than analytically.

Basic Concepts

Numerical Differentiation and Integration

Calculus with Numbers

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!

Numerical Differentiation

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.

Numerical Integration

We estimate the area under a curve by breaking it into small pieces.

  • Trapezoidal Rule: Approximates the area using trapezoids.
  • Simpson's Rule: Uses parabolic arcs for better accuracy.

Why Use These Methods?

  • Functions may be too complex for standard calculus.
  • Data might only be available as a table, not as a formula.

Everyday Uses

From predicting how much fuel a car uses, to finding the area under a curve on a graph, these methods are everywhere!

Examples

  • Estimating the speed of a car at a specific moment using sensor data.

  • Calculating the distance traveled by a spaceship using discrete velocity readings.

In a Nutshell

Numerical differentiation and integration help us estimate slopes and areas when calculus is too hard or impossible to use.