Download Algorithms (Addison-Wesley series in computer science) by Robert Sedgewick PDF

By Robert Sedgewick

This booklet is meant to survey crucial algorithms in use on pcs this day and educate the elemental concepts to the growing to be inhabitants attracted to changing into critical desktop clients.

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Algorithms (Алгоритмы)

Из предисловия к книге
". .. The e-book contains 40 chapters that are grouped into seven significant elements: mathematical algorithms, sorting, looking, string processing, geometric algorithms, graph algorithms and complicated themes. an important aim within the improvement of this publication has been to assemble the basic equipment from those varied parts, on the way to offer entry to the simplest tools that we all know for fixing difficulties by means of laptop for as many of us as attainable. "

Некоторое время назад на сайте были опубликованы первый и второй тома "Фундаментальных алгоритмов на С++" Роберта Седжвика. Книга Algorithms - одна из ранних публикаций (1983 год) этого автора, на русский язык она не переводилась.

Книга рассчитана на тех, кто уже немного знаком с основами программирования (скорее студентов, нежели школьников), фрагменты программ приведены на языке Pascal, в конце каждой главы имеются упражнения.

Алгоритмы описываются весьма кратко и достаточно простым языком (простота касается и английского языка - чтение книги вряд ли будет более трудным, чем чтение справочной информации в современных системах программирования). Представляется удобным то, что большое количество популярных алгоритмов
собраны под одной обложкой. Это позволяет использовать книгу и в качестве справочника.

Конечно, работу Седжвика трудно сравнивать по фундаментальности и строгости с замечательной книгой "Алгоритмы. Построение и анализ" Кормена, Лейзерсона, Ривеста и Штайна, но знакомство с первой может оказаться полезным при изучении второй.

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Extra resources for Algorithms (Addison-Wesley series in computer science)

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What is the value of the x2 statistic for a degenerate generator which always returns the same number? 10. Describe how you would generate random numbers with m bigger than the computer word size. 4. Polynomials The methods for doing arithmetic operations given in Chapter 2 are simple and straightforward solutions to familiar problems. As such, they provide an excellent basis for applying allgorithmic thinking to produce more sophisticated methods which are substantially more efficient. As we’ll see, it is one thing to write down a formula which implies a particular mathematical calculation; it is quite another thing to write a computer program which performs the calculation efficiently.

The random number generators that we will study do very well in such tests. We have been (and will be) talking exclusively about uniform random numbers, with each value equally likely. It is also common to deal with random numbers which obey some other distribution in which some values are more likely than others. Pseudo-random numbers with non-uniform distributions are usually obtained by performing some operations on uniformly distributed ones. Most of the applications that we will be studying use uniform random numbers.

Computers have built-in capabilities to perform arithmetic on integers and floating-point representations of real numbers; for example, Pascal allows numbers to be of type integer or re;d, with all of the normal arithmetic operations defined on both types. Algorithms come into play when the operations must be performed on more complicated mathematical objects, such as polynomials or matrices. In this section, we’ll look at Pascal implementations of some simple algorithms for addition and multiplication of polynomials and matrices.

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