Project Title: yutori - A Linear Programming Lingua Franca   
Student: Kamal Sacranie
Course: MS in Computer Science (Artificial Intelligence)  

Abstract: 
In this paper, we introduce “yutori”, a domain-specifc language designed 
to simplify the representation linear programming models and automate 
transpilation of linear programming models. The language’s syntax mirrors 
traditional mathematical notation, allowing users to defne models through 
four key abstractions: identifers, summations, constraint replications, 
and symbolic simplifcation. This approach enables the automation of diverse 
solution pipelines from a single model fle. Our main contributions are 
yutori iteself as valuable tool for automating solution pipelines and, 
moreover, as a pedagogical resource for illustrating how linear programming 
models can be used in diferent contexts, with the second contribution being 
a parser combinator library implemented in OCaml that can produce a source
mapped abstract syntax tree without the need for lexical analysis.