Linear diagrams are used to visualize set systems by depicting set memberships as horizontal line segments in a matrix, where each set is represented as a row and each element as a column. Each such ...

Linear/non-linear (LNL) models, as described by Benton, soundly model a LNL term calculus and LNL logic closely related to intuitionistic linear logic. Every such model induces a canonical enrichment ...

Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as ...

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 and nonlinear programming are powerful methods for optimizing complex problems that involve multiple variables and constraints. However, they also have some challenges and limitations that ...

Linear programming has several advantages for solving logistics problems. First, LP can handle large-scale problems with many variables and constraints, using efficient algorithms and software.