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Название: Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis
Автор: Helmut Knebl
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 360
Размер: 10 Mb
Язык: English
This is a central topic in any computer science curriculum. 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. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined were chosen because of their wide field of application.
Автор: Helmut Knebl
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 360
Размер: 10 Mb
Язык: English
This is a central topic in any computer science curriculum. 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. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined were chosen because of their wide field of application.