Linear Function
Linear functions, fundamental building blocks in mathematics and computer science, are currently the subject of intense research focusing on their representation, optimization, and application in diverse fields. Studies explore efficient algorithms for representing piecewise-linear functions using minimal components, analyzing the runtime performance of evolutionary algorithms in optimizing linear and related functions, and developing novel approaches to online learning with generalized linear models. These advancements contribute to a deeper understanding of computational complexity and offer improved methods for solving problems in areas such as multi-agent systems control and machine learning.
Papers
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