By reformulating the linear multiplicative programming problem (LMP) as an equivalent nonconvex programming problem (EP), we present a new accelerating outcome space branch-and-bound algorithm for ...

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

This paper deals with the online fault diagnosis problem of discrete event systems under malicious external attacks. We consider a scenario where an attacker can intercept certain sensor measurements ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

How Linear Programming Software Work LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and support architecture. These, plus ...

The human brain likes simple straight lines. As a result, people tend to expect that relationships between variables and outcomes will be linear. Often, this is the case: The amount of data an ...