# 'Sorted lists' presentation slideshows

## Friday, June 1, 2018

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

By tilly
(159 views)

## Insertion sort, Merge sort

COMP171 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.

By liming
(170 views)

## Finger Search Searching in a sorted array

Finger 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.

By annis
(265 views)

## CMSC 202

CMSC 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.

By osman
(169 views)

## PRAM Algorithms

PRAM 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

By goldy
(263 views)

## Lecture 12: P arallel Sorting

Lecture 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 flann
(171 views)

## msb ( x ) in O(1) steps using 5 multiplications

[ 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).

By nelson
(68 views)

## Chapter 9. Fast sorting algorithms

Lecture 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.

By cicero
(132 views)

## Merge Sort

Merge 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 ).

By ray
(136 views)

## Closest Pair

Closest 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

By whitney
(124 views)

## 2.6 Applications Of Induction & other ideas Important Theorems

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

By sylvana-silas
(103 views)

## Combining Fuzzy Information: an Overview

Combining 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.

By ignacia-price
(83 views)

## Recursive Algorithms

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

By lucy-gregory
(277 views)

## Computing p()’s in O(n) time

Computing 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.

By dorothylarson
(0 views)

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