Warm-up Problem Given a undirected graph, determine if it contains any cycles. ¡ñ May use any data structure or algorithm from the course so far. 3 1 6 0 4 2 5 datastructur.es Warm-up Problem Given a undirected graph, determine if it contains any cycles. ¡ñ May use any data structure or algorithm from the […]
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CS61B, 2021 Lecture 4: References and Recursion ¡ñ Primitive Types ¡ñ Reference Types ¡ñ Linked Data Structures datastructur.es Primitive Types Quiz Walrus a = new Walrus(1000, 8.3); Walrus b; b = a; b.weight = 5; System.out.println(a); System.out.println(b); int x = 5; int y; y = x; x = 2; System.out.println(“x is: ” + x); System.out.println(“y
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UC Berkeley – Computer Science CS61B: Data Structures Final, Spring 2016 This test has 13 questions worth a total of 100 points. The exam is closed book, except that you are allowed to use three pages (both front and back, for 6 total sides) as a written cheat sheet. No calculators or other electronic devices
Towards Big Graph Processing: Applications, Challenges, and Advances Xuemin Lin UNSW P节PT日模PP板T模下板载:www.1ppt.com/mjieorbi/an/ 行PP业T素PP材T模下板载:wwwwww.1.1ppptt.c.coom//hsauncgayi/e/ PPT背景图片:www.1ppt.com/beijing/ 优秀PPT下载:www.1ppt.com/xiazai/ W资o料rd下教载程:wwww.1.1pppt.tc.ocomm/z/iwliaoord/ / 范教文案下载:www.1ppt.com/fjaianowaenn/ / PPT图表下载:www.1ppt.com/tubiao/ PPT教程: www.1ppt.com/powerpoint/ EPxPcTe课l教件程下:载w:www.1wpp.1t.pcpotm.c/oemxc/ekle/ jian/ PPT论试坛卷:下w载w:ww.1wppwt.c1nppt.com/shiti/ • Ver$ces: a collec$on of en$$es • Edges: connec$ons between ver$ces What is a graph ? v1 v3 v5 v6 v2 v7 v4 v8 v9 Graphs and Classic Problems 1.
CS61B, 2021 Lecture 5: Node Based Lists ¡ñ From IntList to SLList ¡ð The private keyword ¡ð Nested classes ¡ð Recursive private helper methods ¡ð Caching ¡ð Sentinel nodes datastructur.es From IntList to SLList datastructur.es Last Time in 61B: Recursive Implementation of a List public class IntList { public int first; public IntList rest; public
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CS61B Lecture 28: Decomposition and Reductions ¡ñ Topological Sorting ¡ñ Shortest Paths on DAGs ¡ñ Longest Paths ¡ñ Reductions datastructur.es Our Many Achievements We¡¯ve covered a tremendous amount of material so far. ¡ñ Programming practice: Java, IntelliJ, JUnit, correctness and timing tests, designing your own data structures that compose other data structures together. ¡ñ Asymptotic
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CS61B Lecture 19: Multi-Dimensional Data ¡ñ Range-Finding and Nearest (1D Data) ¡ñ Multi-Dimensional Data Example ¡ñ QuadTrees for 2D Data ¡ñ KdTrees for Higher Dimensional Data ¡ñ Uniform Partitioning datastructur.es Range-Finding and Nearest datastructur.es Search Trees So far we¡¯ve seen three different efficient implementations of a Map (or Set): ¡ñ Binary Search Tree. ¡ñ 2-3
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Announcements Your job from now until the final: Study a little each day. ¡ñ Final exam is comprehensive. ¡ñ Struggling students: DO EVERY C LEVEL PROBLEM. All of them. ¡ñ Work with other people! ¡ð Argue and discuss! datastructur.es CS61B Lecture 40: Wrapping Things Up ¡ñ What We¡¯ve Done: 61B in 12 minutes or less.
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CS61B: 2021 Lecture 11: The End of Java ● Lists and Sets ● Exceptions ● Iteration ● toString and Equals datastructur.es Lists and Sets in Java datastructur.es Lists In lecture, we’ve build two types of lists: ALists and SLLists. ● Similar to Python lists. List61B L = new AList(); L.addLast(5); L.addLast(10); L.addLast(15); L.print(); L =
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CS61B, 2021 Lecture 19: Hashing ● Set Implementations, DataIndexedIntegerSet ● Integer Representations of Strings, Integer Overflow ● Hash Tables and Handling Collisions ● Hash Table Performance and Resizing ● Hash Tables in Java datastructur.es Data Indexed Arrays datastructur.es Sets We’ve now seen several implementations of the Set (or Map) ADT. Set Map ArraySet BST 2-3
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