Programming Abstractions Spring 2018 Stanford University Computer Science Department Lecturer: Chris Gregg. CS 106B Lecture 26: Esoteric Data Structures: Skip Lists and Bloom Filters. Friday, June 1, 2018. Today's Topics. Logistics

ByCOMP171 Fall 2005. Insertion sort, Merge sort. Insertion sort. 1) Initially p = 1 2) Let the first p elements be sorted. 3) Insert the (p+1)th element properly in the list so that now p+1 elements are sorted. 4) increment p and go to step (3). Insertion Sort. Insertion Sort. see applet.

ByFinger Search Searching in a sorted array. time O(log n ) Binary-search (13). Finger. d. time O(log d ) Exponential-search (13). 2 0. 2 1. 2 2. Dynamic Finger Search. Level - Linked (2,4) -trees.

ByCMSC 202. Computer Science II for Majors. Topics. Templates Linked Lists. Templates. Templates allow us to create a family of functions or classes Templates enable programmers to create entire range of related functions or related classes e.g.

ByPRAM Algorithms. Sathish Vadhiyar. PRAM Model - Introduction. Parallel Random Access Machine Allows parallel-algorithm designers to treat processing power as unlimited Ignores complexity of inter-process communication

ByLecture 12: P arallel Sorting. Shantanu Dutt ECE Dept. UIC. Adapted from Chapter 9 slides of the text, by A. Grama w/ a few changes, augmentations and corrections. Acknowledgement. Topic Overview . Issues in Sorting on Parallel Computers Bitonic Sorting Networks

By[ M.L. Fredman , D.E. Willard, Surpassing the information-theoretic bound with fusion trees , Journal of Computer and System Sciences 47 (3): 424–436, 1993]. msb ( x ) in O(1) steps using 5 multiplications. Word size n = g ∙ g , g a power of 2. RAM model (Random Access Machine).

ByLecture 18. Chapter 9. Fast sorting algorithms. Look at two recursive sorting algorithms MergeSort and QuickSort Investigates complexity of each. Some efficient sorting algorithms. Mergesort Quicksort. Both. - very efficient (O(nlogn)). - use recursion.

ByMerge Sort. COP 3502. Introduction. Last class we covered Insertion Sort, Bubble Sort, and Selection Sort. In these algorithms we end up making a significant number of possible comparisons and swaps between elements. All of these have a worst and average case performance of O(n 2 ).

ByClosest Pair. Given a set S = { p1 , p2 , ..., pn } of n points in the plane find the two points of S whose distance is the smallest. Images in this presentation were taken from: http://www.cs.ucf.edu/courses/cot5520/lectures.html Lec15. Closest Pair – Naïve Algorithm. Pseudo code

By2.6 Applications Of Induction & other ideas Important Theorems. Midwestern State University – Computer Science Dr. Ranette Halverson. Theorem 2.8 – Binary Search.

ByCombining Fuzzy Information: an Overview. Author: Ronald Fagin Presented by: Bill Eberle. Overview. Introduction Model Algorithms Turning TA into an Approximation Algorithm Restricting Sorted Access Restricting Random Access. Introduction.

ByRecursive Algorithms. Section 5.4. Section Summary. Recursive Algorithms Proving Recursive Algorithms Correct Recursion and Iteration ( not yet included in overheads ) Merge Sort. Recursive Algorithms.

ByComputing p()’s in O(n) time. P()’s can be computed in O(n) time using two sorted lists, one sorted by finish time and the other sorted by start time. Start time: b(0, 5), a(1, 3), e(3, 8), c(5, 6), d(6, 8) Finish time a(1, 3), b(0,5), c(5,6), d(6,8), e(3,8). Computing p()’s in O(n) time.

ByView Sorted lists PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Sorted lists PowerPoint presentations. You can view or download Sorted lists presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.