**6. Linear forward models and Gaussian case**

Linear models are of importance. Gaussian prior laws are the most common and the easiest ones to handle. Also, many non-linear problems can be approximated by equivalent linear ones. Linear models with Gaussian prior laws are the easiest and powerful tools for a great number of scientific problems. In this section, an overview and some main properties are given.
