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Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Horst Tempelmeier
Optimization in Production Analytics

This book deals with problems of Operational Production Planning and Lot-Sizing. Problems of this type, and the data collection and analysis involved, are also called Production Analytics, a subset of the…

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Carlos Alberto Dutra Fraga Filho
Computational Algorithms for Reflective Boundary Conditions in SPH Fluid Dynamics Simulation

This book presents computational codes for the reflective boundary treatment technique used in the case studies presented in the book Reflective Boundary Conditions in SPH Fluid Dynamics Simulation by the…

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Theory, Algorithms, and Experiments in Applied Optimization

This book celebrates the remarkable contributions of Panos M. Pardalos, offering a comprehensive collection of 19 rigorously peer-reviewed articles that span the breadth of his research interests. From de…

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.…

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