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CS61B Lecture #20: Trees Last modified: Wed Oct 16 16:03:40 2019 CS61B: Lecture #20 1 A Recursive Structure Copyright By PowCoder代写 加微信 powcoder • Trees naturally represent recursively defined, hierarchical objects with more than one recursive subpart for each instance. • Common examples: expressions, sentences. – Expressions have definitions such as “an expression consists of
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Last modified: Sun Oct 6 14:43:32 2019 CS61B: Lecture #17 1 CS61B Lecture #17 Copyright By PowCoder代写 加微信 powcoder • Overview of standard Java Collections classes. – Iterators, ListIterators – Containers and maps in the abstract • Amortized analysis of implementing lists with arrays. Last modified: Sun Oct 6 14:43:32 2019 CS61B: Lecture #17 2
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CS61B Lecture #8: Object-Oriented Mechanisms Today: • New in this lecture: the bare mechanics of “object-oriented pro- gramming.” • The general topic is: Writing software that operates on many kinds of data. Last modified: Sun Sep 15 15:35:32 2019 CS61B: Lecture #8 1 Copyright By PowCoder代写 加微信 powcoder Overloading Problem: How to get System.out.print(x) to
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WSCLoca – A Simple and Effective Algorithm for Virtual Memory Management Richard W. Cart 1 Department of Computer Science Stanford University A new virtual memory management algorithm WSCLOCKhas been synthesized from the local working set (WS) algorithm, the global CLOCK algorithm, and a new load control mechanism for auxiliary memory access. The new algorithm combines
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4 The Abstraction: The Process In this chapter, we discuss one of the most fundamental abstractions that the OS provides to users: the process. The definition of a process, infor- mally, is quite simple: it is a running program [V+65,BH70]. The program itself is a lifeless thing: it just sits there on the disk, a
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The Google File System , , and Shun- Google∗ We have designed and implemented the Google File Sys- tem, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While sharing many of
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The Google File System , , and Shun- Google∗ We have designed and implemented the Google File Sys- tem, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While sharing many of
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