Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.
A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...
With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer ...
SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on ...
Integrated water resources planning is an example of a large-scale, long-term infrastructure planning problem that is impacted by climate change and multiple potential design alternatives and goals.
SAN JOSE, Calif.--(BUSINESS WIRE)--Xilinx, Inc. (NASDAQ: XLNX) today introduced Vivado® ML Editions, the industry’s first FPGA EDA tool suite based on machine-learning (ML) optimization algorithms, as ...
We consider the problem of finding local minimizers in nonconvex and non-smooth optimization. The objective function we consider is in the form of the sum of a nonconvex function and a l1-penalty.
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