Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

Aim to minimize the combined fixed and transportation costs by deciding which of five plants to keep open or what have to close.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Abstract: Transformer models, such as BERT, GPT, and ViT, have been applied to a wide range of areas in recent years, due to their efficacy. In order to improve the training efficiency of Transformer ...

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function ...

Abstract: Mixed Integer Linear Programming (MILP) optimization is a critical NP-hard problem applied across various sectors. Although machine-learning-based strategies have used historical data and ...