Inverse spectral theory addresses the fundamental question of how to reconstruct a differential operator from the knowledge of its spectral characteristics. Central to this theory are operators such ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

Functional analysis provides the theoretical foundation for understanding spaces of functions and the linear mappings between them. Central to this discipline are Banach spaces: complete normed vector ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...