The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

Additionally, we develop three different procedures for evaluating the problem of transportation for linear programming with the help of a multi-attribute decision-making problem based on the ...

Word problems try and tell students a story about the math problem in front of them. They are a useful way to connect abstract numbers to concrete situations, so students can learn early on to ...

Study shows addressing working memory can help students with math difficulty improve word problem-solving skills Working memory shown to have key role; interventions helped students boost key ...

We developed spreadsheet linear-programming models for planning shipments of finished goods between vendors, manufacturing plants, warehouses, and customers to minimize overall cost subject to maximum ...

Emily Sharp and Kunal Nabar collaborate on a puzzle that’s greater than the sum of its parts.

To help advance research on self-invoking code generation, the researchers propose a technique to automatically repurpose existing coding benchmarks for self-invoking code generation.

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

Word problems involve reading, executive functioning, problem solving, computation and vocabulary, which means there are a lot of ways for students to go wrong when trying to solve them.

We assume that the k -linear factors of the upper level problem and the l -linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...

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.