The cutting-stock problem is the problem of filling an order at minimum cost for specified numbers of lengths of material to be cut from given stock lengths of given cost. When expressed as an integer ...

LasseyMiracle / Linear-Programming_maximization-and-minimization-problem Public Notifications You must be signed in to change notification settings Fork 0 Star 0 ...

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...

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.

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.

Solve linear optimization problems including minimization and maximization with simplex algorithm. Uses the Big M method to solve problems with larger equal constraints in Python ...

In this research, focusing on two-level linear programming problems involving fuzzy random variables, we pro pose a new decision making model through possibility measures. Taking into account ...

We identify the effects of multi-dimensional queries to specify the target set in the influence maximization problem, and propose the formal problem definition of Multidimensional Selection based ...