Interpolation Techniques

Interpolation techniques are methods used to estimate unknown data points within the range of known values. Imagine having data at certain points and wanting to find values between them; interpolation helps fill in these gaps accurately. Common methods include linear interpolation, which assumes a straight line between points, and polynomial or spline interpolation, which fit curves for smoother results. These techniques are widely used in fields like engineering, finance, and science to create continuous data from discrete measurements, enabling better analysis and decision-making by providing reasonable estimates where direct measurements are unavailable.