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In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. Th
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Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as
Online Optimization of Large Scale Systems
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Stochastic Optimization for Large-scale Machine Learning
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Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fin