Supply Chain Linear Programming (SCLP) - Fuel distribution network optimization using MILP. Features: daily optimization, scenario analysis, sensitivity analysis with complete visualization and Excel ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

A curated Excel workbook showcasing core data analysis techniques - including regression, classification, dimensionality reduction, and cross-validation - implemented entirely within spreadsheets.

Meet The Model Formula 1 Drivers Are 'Obsessed' With originally appeared on The Spun. The 2025 Formula 1 season is hitting the back stretch, with 12 races complete and 12 to go. Daniel Norris, driving ...

Have you ever stared at an Excel spreadsheet, overwhelmed by its complexity, and thought, “There must be a better way to do this”? You’re not alone. Despite being one of the most widely used tools for ...

A hot potato: OpenAI's latest artificial intelligence models, o3 and o4-mini, have set new benchmarks in coding, math, and multimodal reasoning. Yet, despite these advancements, the models are drawing ...

OpenAI announced today that it is releasing a new family of artificial intelligence models optimized to excel at coding, as it ramps up efforts to fend off increasingly stiff competition from ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...