In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...

Calculus I,II + Algorithms + Linear Algebra. Topics Covered. Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, ...

Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, Professional Master’s Degree in Applied Mathematics Prior knowledge needed: Basic calculus ...

Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which ...

Symbolic Regression (SR): A method for discovering mathematical expressions that best fit a given dataset, often employing genetic programming to search for interpretable models.