Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our ...
This paper examines three hypotheses central to the Leontief economic input-output model: (1) constant dollar coefficients are more stable than current dollar coefficients; (2) the intermediate ...
Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
Maximal Output Admissible Sets (MOAS) are the set of all initial states and references such that the output response is always constraint admissible. Introduced in [1], the MOAS holds a special place ...