Librería Portfolio

THE PRINT BOOK: This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is one of the most popular textbooks on algorithms today and is widely used in colleges and universities worldwide. The algorithms in this book - including 50 algorithms every programmer should know - represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering and for students who use computation in the liberal arts. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

THE LECTURE SERIES: There are 24 lecture videos that will be streamed on the Informit.com site; each lecture is approximately 60 to 75 minutes in length and focuses on a specific topic related to the Algorithms book. The lecture videos introduce viewers to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. They also cover graph-processing algorithms, including minimum spanning tree and shortest paths algorithms, and string processing algorithms, including string sorts, tries, substring search, regular expressions, and data compression, and concludes with an overview placing the contents of the course in a larger context.

The first 12 lecture videos cover elementary data structures, sorting, and searching. Topics covered in these videos include union-find, binary search, stacks, queues, bags, insertion sort, selection sort, shellsort, quicksort, 3-way quicksort, mergesort, heapsort, binary heaps, binary search trees, red-black trees, separate chaining and linear probing hash tables, Graham scan, and id-trees. Lecture videos 13 through 24 focus on graph and string-processing algorithms. Topics covered in these lecture videos include depth-first search, breadth-first search, topological sort, Kosaraju-Sharir, Kruskal, Prim, Dijkistra, Bellman-Ford, Ford-Fulkerson, LSD radix sort, MSD radix sort, 3-way radix quicksort, multiway tries, ternary search tries, Knuth-Morris-Pratt, Boyer-Moore, Rabin-Karp, regular expression matching, run-length coding, Huffman coding, LZW compression, and the Burrows-Wheeler transform.



Preface viii

Chapter 1: Fundamentals 3
1.1 Basic Programming Model 8
1.2 Data Abstraction 64
1.3 Bags, Queues, and Stacks 120
1.4 Analysis of Algorithms 172
1.5 Case Study: Union-Find 216

Chapter 2: Sorting 243
2.1 Elementary Sorts 244
2.2 Mergesort 270
2.3 Quicksort 288
2.4 Priority Queues 308
2.5 Applications 336

Chapter 3: Searching 361
3.1 Symbol Tables 362
3.2 Binary Search Trees 396
3.3 Balanced Search Trees 424
3.4 Hash Tables 458
3.5 Applications 486

Chapter 4: Graphs 515
4.1 Undirected Graphs 518
4.2 Directed Graphs 566
4.3 Minimum Spanning Trees 604
4.4 Shortest Paths 638

Chapter 5: Strings 695
5.1 String Sorts 702
5.2 Tries 730
5.3 Substring Search 758
5.4 Regular Expressions 788
5.5 Data Compression 810

Chapter 6: Context 853

Index 933
List of Algorithms 954
List of Clients 955