My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Electronic and spintronic devices are devices that use the properties of electrons to transmit, process and store information. Electronic devices use the electrical charge of an electron to encode ...

Acclaimed as a mathematical genius, Ada Lovelace is said to have understood the potential of the first computer blueprints better than their inventor. A serendipitous friendship with the mathematician ...

2- Add infeasibility check while solving. 3- Implement proper memory de-allocation. 4- Might as well substitute .txt data input with .csv data instead. Maybe even work on better data parsing since it ...

Abstract: This article presents a new direct solver to solve integral equations arising out of large-scale computational electrostatics. The solver is based on $\mathcal{H}^{2}$ matrices that exploit ...

JuLS is a Julia Local Search solver that combines Constraint Based Local Search (CBLS) and Constraint Programming (CP) to solve Constraint Optimization Problem (COP). It is to be seen as an open ...