'O nlogn' diaporamas de présentation

Chapter 4: Network Layer

Chapter goals: understand principles behind network layer services: routing (path selection) dealing with scale how a router works advanced topics: Multicast routing, IPv6, mobility instantiation and implementation in the Internet. Chapter 4: Network Layer. Chapter 4 roadmap.

1.5k views • 136 slides

Chapter 9: Algorithm Efficiency and Sorting

Chapter 9: Algorithm Efficiency and Sorting. Measuring Algorithm Efficiency. Sorting Algorithms. CS 240. 120. g(n). r(n). n g. n r. Algorithm Efficiency. Efficient programs are important, but how is that efficiency measured?. Time Complexity Terminology: Big-O.

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An Algebraic Approach to Practical and Scalable Overlay Network Monitoring

An Algebraic Approach to Practical and Scalable Overlay Network Monitoring. Yan Chen . David Bindel, Hanhee Song, and Randy H. Katz. University of California at Berkeley. Northwestern University. ACM SIGCOMM 2004. Motivation.

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The Growth of Functions

The Growth of Functions. Rosen 2.2. log z (xy) log z (x/y) log z (x y ) If x = y If x < y log z (- | x | ) is undefined. = log z (x) + log z (y) = log z (x) - log z (y) = ylog z (x) then log z (x) = log z (y) then log z (x) < log z (y). Basic Rules of Logarithms.

620 views • 36 slides

SIMPLE Sorting

SIMPLE Sorting. Sorting is a typical operation to put the elements in an array in order . Internal Sorts [for small data sets] selection bubble (exchange) External Sorts [for large data sets]. Find smallest element, and put at the head of the list,repeat with remainder of list. 21. 13.

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Chapter 4: Network Layer

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Symmetry Breaking Ordering Constraints

Symmetry Breaking Ordering Constraints. Zeynep Kiziltan Department of Information Science Uppsala University, Sweden http://www.dis.uu.se/~zeykiz A progress report on work in collaboration with Alan Frisch, Brahim Hnich, Chris Jefferson, Ian Miguel, Toby Walsh. Motivations (1).

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Relational Factor Graphs

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Lecture 11 Sorting

Lecture 11 Sorting. Parallel Computing Fall 2008. Sorting Algorithm. Rearranging a list of numbers into increasing (strictly nondecreasing) order. Potential Speedup. O( n log n ) optimal for any sequential sorting algorithm without using special properties of the numbers.

371 views • 27 slides

Data Structures, Search and Sort Algorithms

Data Structures, Search and Sort Algorithms. Kar-Hai Chu karhai@hawaii.edu. Data structures. Storage Insertion, deletion Searching Sorting Big O. Stacks. LIFO Push, pop O(1) operations. Linked lists v. Arrays. Linked lists: Resizable Insertion/deletion Arrays: Faster index

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Fast Fourier Transform

Fast Fourier Transform. Agenda. Historical Introduction CFT and DFT Derivation of FFT Implementation. Historical Introduction. Continuous Fourier Transform (CFT). Given : Complex Fourier Coefficient: Fourier Series: (change of basis). Discrete Fourier Transform. Given :.

444 views • 19 slides

Binary Planar Partition

Binary Planar Partition. Lecture 2 Advanced Algorithms II. Slides by: Arjun Dasgupta. Slides by: Arjun Dasgupta. Example 1. l1. 1. 3. l2. l3. 2. 4. Each oval node stores information about the infinite line l i The leaves denote the line segments being partitioned. Example 2. l1.

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