Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
“bounds” on the values of x (e.g. x has to be a positive number, or it should be between 0 & 10, etc.), nor any type of constraints that need to be satisfied. Linear Regression is an example of unconstrained optimization, given by: Linear Regression problem statement [Image by author] Says, Find