The theoretical analysis and computational implementation of factorization-based methods for the numerical solution of linear boundary value problems for ordinary differential equations are presented.

This is a preview. Log in through your library . Abstract The continued fraction method for factoring integers, which was introduced by D. H. Lehmer and R. E. Powers, is discussed along with its ...

This project provides a comprehensive Python-based implementation for estimating real-time travel times using matrix factorization techniques, specifically Alternating Least Squares (ALS). It includes ...

The Bi-Section method finds roots of non-linear equations using interval bisection. Initial Range Calculation: Determines an initial maximum range ((-|xmax|, |xmax|)) for root existence. Calculation ...

Abstract: Kernel methods represent some of the most popular machine learning tools for data analysis. Since exact kernel methods can be prohibitively expensive for large problems, reliable low-rank ...

Abstract: The semi-supervised non-negative matrix factorization (NMF) methods have demonstrated their powerful capabilities in fields such as data representation, image clustering, and recommendation ...