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Duality for Nonconvex Approximation and Optimization

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  • 376pages
  • 14 heures de lecture

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The theory of duality is explored in depth, highlighting its significance in various mathematical contexts. The author provides a comprehensive examination of dual relationships, illustrating how they can be applied to enhance understanding in fields such as geometry and topology. Through rigorous analysis and examples, the work aims to bridge gaps between different mathematical concepts, making it a valuable resource for students and professionals seeking to deepen their grasp of duality in mathematics.

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Duality for Nonconvex Approximation and Optimization, Ivan Singer

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Année de publication
2010
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