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    Big Data Optimization: Recent Developments and Challenges

Big Data Optimization: Recent Developments and Challenges

Ali Emrouznejad
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      The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
      Format: Paperback / softback CONTRIBUTORS: Ali Emrouznejad EAN: 9783319807652 COUNTRY: Switzerland PAGES: WEIGHT: 7548 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2018-05-30 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Operational research, Artificial intelligence

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      The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
      Format: Paperback / softback CONTRIBUTORS: Ali Emrouznejad EAN: 9783319807652 COUNTRY: Switzerland PAGES: WEIGHT: 7548 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2018-05-30 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Operational research, Artificial intelligence

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      Be the first to write a review
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