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This book introduces the state-of-the-art algorithms for data and computation privacy.
This book introduces the state-of-the-art algorithms for data and computation privacy.
To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm.
This book offers a self-contained guide to advanced algorithms and their applications in various fields of science.
This book offers a self-contained guide to advanced algorithms and their applications in various fields of science.
This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2020.
This book features research presented and discussed during the Research & Innovation Forum (Rii Forum) 2020.
This textbook introduces major topics that include quantum bits, superposition, entanglement, logic gates, quantum search algorithm, quantum Fourier transform, inverse quantum Fourier transform, Shor’s order-finding algorithm and phase estimation.
This book constitutes the proceedings of the 16th International Conference on Web and Internet Economics, WINE 2020, held in Beijing, China, in December 2020.
This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. machine learning algorithm and Intelligent networks.
This book uses new mathematical tools to examine broad computability and complexity questions in enumerative combinatorics, with applications to other areas of mathematics, theoretical computer science, and physics.