Constraint programming (CP) is a programming paradigm where relations between variables are stated in the form of constraints. It's particularly useful for solving complex combinatorial problems such ...

Abstract: In the linear programming approach to approximate dynamic programming, one tries to solve a certain linear program - the ALP -, which has a relatively small number K of variables but an ...

Computing high-quality control policies in sequential decision making problems is an important task across several application domains. Markov decision processes (MDPs) provide a powerful framework to ...

The Monthly publishes articles, as well as notes and other features, about mathematics and the profession. Its readers span a broad spectrum of mathematical interests, and include professional ...

Write down the Linear Program (LP) relaxation of an IP Plot the graphical representation of an IP and find the optimal solution Understand the relationship between optimal solution of an IP and the ...

A study focuses on a linear programming problem that involved a special fuzzy relation inequality (FRI) system, herein referred to as a secondary maximum minimum (SecMaxMin) FRI system. The SecMax-Min ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which may lead to a ...

Maths Linear Programming Formulas: The Class 12 mathematics curriculum consists of several chapters, and new concepts are introduced to students. One such topic is the Class 12 NCERT Chapter 12 Linear ...