Design and Analysis of Algorithms
Spring 2014
National University of Computer and Emerging Sciences,
Islamabad
Recursion
Basic problem solving technique is to
divide a problem into smaller subproblem
Design & Analysis of Algorithms - Spring 2012
Mid Term 2
April 14, 2012
Q1.
Time: 90 min
(15)
Run the strongly connected components algorithm on the following directed graphs G. During DFS
on GR: when
Assignment 2
Computer Architecture
Fall 2015
(10 points)
Question 1) Assume you break up the memory stage into 2 stages instead of 1 to improve throughput in
a pipelined datapath.
Thus, the pipeline s
Design And Analysis of Algorithms Section A
Assignment 1
Due Date: 9th September 2015 In Class
Q1) Assume we are using 1-based indexing scheme.
In the loop invariant of insertion sort, before the firs
High Performance Data Warehouse
Design and Construction
OLAPImplementation
Techniques
1
Objectives
ProvidearobustframeworkforOLAP
techniquesfordecisionsupport.
Characterizetradeoffsinperformance,
sca
High Performance Data Warehouse
Design and Construction
IndexingTechniques:PartI
1
Objectives
Illustratetraditionaldatabaseindexingtechnologiesand
theirapplicationtodatawarehouseworkloads.
Provideafra
High Performance Data Warehouse
Design and Construction
LogicalandPhysical
DatabaseDesign
1
Objectives
Reviewrulesofthirdnormalformdatabase
design.
Provideatoolkitofdenormalization
techniquesforphysi
High Performance Data Warehouse
Design and Construction
IndexingTechniques:PartII
1
Objectives
IllustrateadvancedindexingtechnologiesforVLDBdata
warehousedesign.
Provideaframeworkforchoosingappropriat
Design And Analysis of Algorithms Assignment 2
Due date: 28 October Wednesday in class
Question 1. Using the top-down insertion algorithm described in the handout, add the following
elements one after
Chapter
43
Deterministic
J. Ian
Thomas
Munrot
Skip
Lists*
Papadakist
Robert
Abstract
trees.
Reexplore
Denenberg,
techniques
guarantee
basic
idea
above
precisely
that
Thedesired
that
code, whereas
of m
DATA
WAREHOUSING
Introduction and Overview
What is a Data Warehouse?
Acompleterepositoryofcorporate
dataextractedfromtransaction
systemsthatisavailableforadhoc
accessbyknowledgeworkers.
What is a Data
High Performance Data Warehouse
Design and Construction
JoinTechniques
1
Objectives
Illustratefundamentaldifferencesbetweenjoin
techniquesinDSSandOLTPenvironments.
Describeperformancecharacteristicsfo
High Performance Data Warehouse
Design and Construction
AdvancedDatabaseDesign:
PartI
MIRaza
1
Objectives
Describeadvancedpartitioningtechniquesfor
physicaldatabasedesign.
Characterizethetradeoffsbet
High Performance Data Warehouse
Design and Construction
AdvancedDatabaseDesign:
PartII
MIRaza
1
Objectives
Understandhowmaterializedviewscanbe
usedtomanipulatetablegeographiesin
sharednothingRDBMSimpl
Design & Analysis of Algorithms I
Mid 2, Spring 2014
Date: 14th April. 2014
Time: 90 mins.
Q1. Consider the following 1-2-3 skip list
a. Insert 72 and then 92 in the above skip List
b. Delete the sequ
Design & Analysis of Algorithms - Spring 2014
Final Exam
Date: May19, 2014
Marks: 60
Time: 3 hours
Q1 [5+5 marks]
a. Consider the following pseudo code for heap sort
HEAPSORT(A)
1. BUILD-MAX-HEAP(A)
2
Design & Analysis of Algorithms I
Mid 2, Spring 2014
Date: 14th April. 2014
Time: 90 mins.
Q1. (10)
Consider the following 1-2-3 skip list
a. Insert 72 and then 92 in the above skip List
b. Delete the
DesignandAnalysisofAlgorithms
Spring2014
National University of Computer and Emerging Sciences, Islamabad
ExampleSorting(InsertionSort)
Insertion-Sort(A,n)
A[1 n]
for j = 2 to n
key = A[j]
i = j-1
wh
Design and Analysis of Algorithms
Spring 2014
National University of Computer and Emerging Sciences,
Islamabad
Complexity Analysis
Want to achieve platform-independence
Use an abstract machine that u
Design and Analysis of Algorithms
Sorting Algorithms
National University of Computer and Emerging Sciences,
Islamabad
Merge Sort (Divide and Conquer)
Example
Partition into lists of size n/2
[10, 4,
Design and Analysis of Algorithms
Heap Sort
Spring 2016
National University of Computer and Emerging Sciences,
Islamabad
Special Types of Trees
Def: Full binary tree = a
binary tree in which each
nod
Design and Analysis of Algorithms
Spring 2016
National University of Computer and Emerging Sciences, Islamabad
Hashing
Tables
Direct address tables
Hash tables
Collision and collision resolution
Design and Analysis of Algorithms
Spring 2016
National University of Computer and Emerging Sciences,
Islamabad
Hashing
Tables
Direct address tables
Hash tables
Collision and collision resolution
Design and Analysis of Algorithms
Sorting Algorithms
National University of Computer and Emerging Sciences, Islamabad
Merge Sort (Divide and Conquer)
Example
Partition into lists of size n/2
[10, 4,
Design and Analysis of Algorithms
Heap Sort
Spring 2016
National University of Computer and Emerging Sciences, Islamabad
Special Types of Trees
Def: Full binary tree = a
binary tree in which each
nod
Design and Analysis of Algorithms
Spring 2014
National University of Computer and Emerging Sciences FAST, Lahore
Credit Hours: 3
Prerequisites: Data Structures
Instructors: Ms. Saira Karim (saira.kari
Design & Analysis of Algorithms - Spring 2014
Final Exam
Date: May19, 2014
Marks: 60
Time: 3 hours
Q1 [5+5 marks]
a. Consider the following pseudo code for heap sort
HEAPSORT(A)
1. BUILD-MAX-HEAP(A)
2
Design & Analysis of Algorithms I
Mid 1, Spring 2014
Date: 27th Feb. 2014
Time: 90 mins.
Q1. (5+5)
Below are the pseudo codes for insertion sort and bubble sort. It is assumed that data is stored in
a
Design & Analysis of Algorithms - Spring 2012
Mid Term 1
March 03, 2012
Time: 90 min
Q1.
(15)
Devise an O(n) algorithm that determines the intersection of two sets of integers. The numbers in
the sets
Design & Analysis of Algorithms I
Mid 1, Spring 2014
Date: 27th Feb. 2014
Time: 90 mins.
Q1. (5+5)
Below are the pseudo codes for insertion sort and bubble sort. It is assumed that data is stored in
a