Optimization techniques have become a core tool for solving complex problems across diverse fields such as engineering design, economic planning, and scientific discovery. When tackling real-world ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Abstract: The simplex method, as proposed by Dantzig in 1947, is a widely-used practical algorithm for solving Linear Programs (LPs)—systems of linear inequalities headed by a single linear objective ...
Abstract: This study proposes a Linear Programming Model (LPM) to maximize the profits of tour operators in Puerto Francisco de Orellana, Ecuador. The model defines tourist packages, services, and ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence’s toughest challenges by enabling AI systems to reason more like humans—without requiring new training ...
Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...
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