Algorithm In C Sedgwick Pdf
robert sedgewick is the founding chair and the william o. baker professor in the department of computer science at princeton university. he was a member of the board of directors of adobe systems from 1990 to 2016, served on the faculty at brown university from 1975 to 1985, and has held visiting research positions at xerox parc, ida, and inria. his research expertise is in algorithm science, data structures, and analytic combinatorics. he pioneered algorithm visualization and has been active throughout his career in developing a first-year college curriculum in computer science, exploiting technology to make that curriculum available to anyone seeking the opportunity to learn from it.
the programming assignments involve either implementing algorithms and data structures (deques, randomized queues, and kd-trees) or applying algorithms and data structures to an interesting domain (computational chemistry, computational geometry, and mathematical recreation).
on some of the popular moocs, such as coursera, youtube, and mit open courseware, sedgwick has been one of the main instructors. he has also worked as an advisor for the mit computer science and artificial intelligence lab, a group which includes some of the best researchers in the field.
in the book, he presents more than 300 algorithms from a logical perspective, covering a wide range of fields, including graph algorithms, data structures, algorithms for integer sequences, algorithms for permutations and combinations, scheduling, and cryptography.
he also provides a number of exercises, including linear programming, integer programming, and the traveling salesman problem. the solutions to these exercises are also included. the book begins with a concise introduction to the algorithm, including the motivation, the data model, and the algorithm itself.
we study the mergesort algorithm and show that it guarantees to sort any array of n items with at most n lg n compares. we also consider a nonrecursive, bottom-up version. we prove that any compare-based sorting algorithm must make at least n lg n compares in the worst case. we discuss using different orderings for the objects that we are sorting and the related concept of stability.
this course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of java implementations. part i covers elementary data structures, sorting, and searching algorithms. part ii focuses on graph- and string-processing algorithms.
we study the mergesort algorithm and show that it guarantees to sort any array of n items with at most n lg n compares. we also consider a nonrecursive, bottom-up version. we prove that any compare-based sorting algorithm must make at least n lg n compares in the worst case.
brief biography:robert sedgewick is the founding chair and the william o. baker professor in thedepartment of computerscience at princetonand was a member of the board of directors of adobe systems from 1990 to 2016. hepreviously served on the faculty at brown and has held visiting research positions at xerox parc, ida,andinria. his research expertise is in algorithm science, data structures, and analytic combinatorics. he is the author of twenty books, many of which have been used for decades as textbooks and reference works. with philippe flajolet, he developed the field of mathematics known as analytic combinatorics. with kevin wayne, he developed a scalable model for disseminating knowledge that integrates textbooks, studio-produced online lectures, and extensive online content that has reached millions of people.
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