Browsing by Subject "Computer algorithms"

Now showing items 1-9 of 9

    • An introduction to metaheuristics for optimization 

      Chopard, Bastien; Tomassini, Marco (Springer, 2018)
      The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and ...

    • Analysis of algorithms : an active learning approach 

      McConnell, Jeffrey J. (Jones and Bartlett Publishers, Inc., 2001)

    • Computer vision : algorithms and applications 

      Szeliski, Richard (Springer, 2011)
      This book explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications ...

    • Data structures and algorithms with Python 

      Lee, Kent D.; Hubbard, Steve (Springer, 2015)
      This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents ...

    • Introduction to data science : data analysis and prediction algorithms with R 

      Irizarry, Rafael A. (CRC Press, 2019)
      This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you ...

    • Machine learning : algorithms and applications 

      Mohammed, Mohssen; Khan, Muhammad Badruddin; Bashier, Eihab Bashier Mohammed (CRC Press, 2017)
      Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the ...

    • Numerical optimization 

      Nocedal, Jorge; Wright, Stephen J. (Springer, 2006)
      This book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing ...

    • Numerical optimization : theoretical and practical aspects 

      Bonnans, J. Frédéric; Gilbert, J. Charles; Lemaréchal, Claude; Sagastizábal, Claudia A. (Springer, 2006)
      Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized ...

    • The algorithm design manual 

      Skiena, Steven S. (Springer, 2012)