Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

Abstract: Sequence generation research based on Generative Adversarial Networks is often limited by the specified adversarial optimization strategy, which seriously affects the optimization ...