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CASPER aims to enhance the theoretical foundations of numerical optimization to bridge the gap between theory and practical applications. The project focuses on developing systematic approaches and tools for algorithmic analysis, enabling efficient solutions for large-scale problems in various fields.
Numerical optimization is a fundamental tool with a growing impact in many disciplines from science to industry.
Many of its successes are due to theoretical advances, which are key to developing trust in numerical algorithms.
While trust is non-negotiable in many applications, the complexity level of modern and future problems makes it very hard for theory to keep up with efficient proposals.
Arguably worse, while both theory and experimental practice are key to the field, their respective reco…
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
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