Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...

Graph algorithms are in wide use in DoD software applications, including intelligence analysis, autonomous systems, cyber intelligence and security, and logistics optimizations. These algorithms make ...

Business analytics with: optimization models / linear programming / non-linear programming / integer programming / goal programming / transportation modeling simulation / Marketing analytics with: ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Abstract: A binary linear programming formulation of the graph edit distance for unweighted, undirected graphs with vertex attributes is derived and applied to a graph recognition problem. A general ...

This book covers the fundamentals of linear programming through studying systems of linear inequalities using basic facts from linear algebra. It is suitable for a crash course on linear programming ...

Industrial Process and Energy Systems Engineering, École Polytechnique Fédérale de Lausanne, Sion, Switzerland This research presents a mathematical formulation for optimizing integration of complex ...

Intuitionistic Fuzzy Set (IFS) can be used as a general tool for modeling problems of decision making under uncertainty where, the degree of rejection is defined simultaneously with the degree of ...