Covers optimization methods, focusing on gradient methods and line search techniques.
Introduces simple linear regression, properties of residuals, variance decomposition, and the coefficient of determination in the context of Okun's law.
Explores linear regression, least squares, residuals, and confidence intervals in regression models.
Covers the basic functions of quadratic and biquadratic rectangular elements and the serendipal family of regular rectangular finite elements.
Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.
