Helmer Cloirec
In an era dominated by the digital revolution, the process of large-scale optimization has taken center stage across various domains. As the volume of data continues to grow exponentially and the dimensionality of problems escalates, handling big data and high dimensionality has become a formidable challenge. This article delves into the intricacies of large-scale optimization, exploring the key challenges it faces in dealing with big data and high dimensionality. We discuss the significance of these challenges, potential solutions and their implications across diverse fields.
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