SlideShare a Scribd company logo
1 of 35
CS 332: Algorithms Introduction to heapsort
Review: The Master Theorem ,[object Object],[object Object],[object Object],[object Object]
Review: The Master Theorem ,[object Object]
Sorting Revisited ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Heaps 16 14 10 8 7 9 3 2 4 1
[object Object],[object Object],Heaps 16 14 10 8 7 9 3 2 4 1 1 1 1 1 1
Heaps ,[object Object],16 14 10 8 7 9 3 2 4 1 A = = 16 14 10 8 7 9 3 2 4 1
Heaps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],16 14 10 8 7 9 3 2 4 1 A = = 16 14 10 8 7 9 3 2 4 1
Referencing Heap Elements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Heap Property ,[object Object],[object Object],[object Object],[object Object]
Heap Height ,[object Object],[object Object],[object Object],[object Object],[object Object]
Heap Operations: Heapify() ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Heap Operations: Heapify() ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Heapify() Example 16 4 10 14 7 9 3 2 8 1 16 4 10 14 7 9 3 2 8 1 A =
Heapify() Example 16 4 10 14 7 9 3 2 8 1 16 10 14 7 9 3 2 8 1 A = 4
Heapify() Example 16 4 10 14 7 9 3 2 8 1 16 10 7 9 3 2 8 1 A = 4 14
Heapify() Example 16 14 10 4 7 9 3 2 8 1 16 14 10 4 7 9 3 2 8 1 A =
Heapify() Example 16 14 10 4 7 9 3 2 8 1 16 14 10 7 9 3 2 8 1 A = 4
Heapify() Example 16 14 10 4 7 9 3 2 8 1 16 14 10 7 9 3 2 1 A = 4 8
Heapify() Example 16 14 10 8 7 9 3 2 4 1 16 14 10 8 7 9 3 2 4 1 A =
Heapify() Example 16 14 10 8 7 9 3 2 4 1 16 14 10 8 7 9 3 2 1 A = 4
Heapify() Example 16 14 10 8 7 9 3 2 4 1 16 14 10 8 7 9 3 2 4 1 A =
Analyzing Heapify(): Informal ,[object Object],[object Object],[object Object]
Analyzing Heapify(): Formal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analyzing Heapify(): Formal ,[object Object],[object Object],[object Object],[object Object],[object Object]
Heap Operations: BuildHeap() ,[object Object],[object Object],[object Object],[object Object],[object Object]
BuildHeap() ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BuildHeap() Example ,[object Object],4 1 3 2 16 9 10 14 8 7
Analyzing BuildHeap() ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analyzing BuildHeap(): Tight ,[object Object],[object Object],[object Object],[object Object],[object Object]
Heapsort ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Heapsort ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analyzing Heapsort ,[object Object],[object Object],[object Object]
Priority Queues ,[object Object],[object Object],[object Object],[object Object],[object Object]
Priority Queue Operations ,[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

The Joy of SciPy
The Joy of SciPyThe Joy of SciPy
The Joy of SciPykammeyer
 
An adaptive algorithm for detection of duplicate records
An adaptive algorithm for detection of duplicate recordsAn adaptive algorithm for detection of duplicate records
An adaptive algorithm for detection of duplicate recordsLikan Patra
 
A Commutative Alternative to Fractional Calculus on k-Differentiable Functions
A Commutative Alternative to Fractional Calculus on k-Differentiable FunctionsA Commutative Alternative to Fractional Calculus on k-Differentiable Functions
A Commutative Alternative to Fractional Calculus on k-Differentiable FunctionsMatt Parker
 
05 heap 20161110_jintaeks
05 heap 20161110_jintaeks05 heap 20161110_jintaeks
05 heap 20161110_jintaeksJinTaek Seo
 
A peek on numerical programming in perl and python e christopher dyken 2005
A peek on numerical programming in perl and python  e christopher dyken  2005A peek on numerical programming in perl and python  e christopher dyken  2005
A peek on numerical programming in perl and python e christopher dyken 2005Jules Krdenas
 
heap Sort Algorithm
heap  Sort Algorithmheap  Sort Algorithm
heap Sort AlgorithmLemia Algmri
 
.Net 4.0 Threading and Parallel Programming
.Net 4.0 Threading and Parallel Programming.Net 4.0 Threading and Parallel Programming
.Net 4.0 Threading and Parallel ProgrammingAlex Moore
 
Chap8 part ii
Chap8 part iiChap8 part ii
Chap8 part iiLoc Tran
 
Tensorflow in practice by Engineer - donghwi cha
Tensorflow in practice by Engineer - donghwi chaTensorflow in practice by Engineer - donghwi cha
Tensorflow in practice by Engineer - donghwi chaDonghwi Cha
 
Data Structure and Algorithms Heaps and Trees
Data Structure and Algorithms Heaps and TreesData Structure and Algorithms Heaps and Trees
Data Structure and Algorithms Heaps and TreesManishPrajapati78
 
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and SparkCrystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and SparkJivan Nepali
 
The passive power point : The present continuous and The present perfect
The passive power point : The present continuous and The present perfectThe passive power point : The present continuous and The present perfect
The passive power point : The present continuous and The present perfectIsmail hegazy
 
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
Bag of Timestamps: A Simple and Efficient Bayesian Chronological MiningBag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
Bag of Timestamps: A Simple and Efficient Bayesian Chronological MiningTomonari Masada
 
Graphing day 2 worked
Graphing day 2 workedGraphing day 2 worked
Graphing day 2 workedJonna Ramsey
 

What's hot (20)

The Joy of SciPy
The Joy of SciPyThe Joy of SciPy
The Joy of SciPy
 
An adaptive algorithm for detection of duplicate records
An adaptive algorithm for detection of duplicate recordsAn adaptive algorithm for detection of duplicate records
An adaptive algorithm for detection of duplicate records
 
A Commutative Alternative to Fractional Calculus on k-Differentiable Functions
A Commutative Alternative to Fractional Calculus on k-Differentiable FunctionsA Commutative Alternative to Fractional Calculus on k-Differentiable Functions
A Commutative Alternative to Fractional Calculus on k-Differentiable Functions
 
05 heap 20161110_jintaeks
05 heap 20161110_jintaeks05 heap 20161110_jintaeks
05 heap 20161110_jintaeks
 
Heap and heapsort
Heap and heapsortHeap and heapsort
Heap and heapsort
 
A peek on numerical programming in perl and python e christopher dyken 2005
A peek on numerical programming in perl and python  e christopher dyken  2005A peek on numerical programming in perl and python  e christopher dyken  2005
A peek on numerical programming in perl and python e christopher dyken 2005
 
heap Sort Algorithm
heap  Sort Algorithmheap  Sort Algorithm
heap Sort Algorithm
 
Heap sort
Heap sortHeap sort
Heap sort
 
Heap_Sort1.pptx
Heap_Sort1.pptxHeap_Sort1.pptx
Heap_Sort1.pptx
 
.Net 4.0 Threading and Parallel Programming
.Net 4.0 Threading and Parallel Programming.Net 4.0 Threading and Parallel Programming
.Net 4.0 Threading and Parallel Programming
 
NumPy/SciPy Statistics
NumPy/SciPy StatisticsNumPy/SciPy Statistics
NumPy/SciPy Statistics
 
Chap8 part ii
Chap8 part iiChap8 part ii
Chap8 part ii
 
Tensorflow in practice by Engineer - donghwi cha
Tensorflow in practice by Engineer - donghwi chaTensorflow in practice by Engineer - donghwi cha
Tensorflow in practice by Engineer - donghwi cha
 
Data Structure and Algorithms Heaps and Trees
Data Structure and Algorithms Heaps and TreesData Structure and Algorithms Heaps and Trees
Data Structure and Algorithms Heaps and Trees
 
Heap
HeapHeap
Heap
 
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and SparkCrystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark
Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark
 
The passive power point : The present continuous and The present perfect
The passive power point : The present continuous and The present perfectThe passive power point : The present continuous and The present perfect
The passive power point : The present continuous and The present perfect
 
Linear sorting
Linear sortingLinear sorting
Linear sorting
 
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
Bag of Timestamps: A Simple and Efficient Bayesian Chronological MiningBag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining
 
Graphing day 2 worked
Graphing day 2 workedGraphing day 2 worked
Graphing day 2 worked
 

Viewers also liked

lecture 4
lecture 4lecture 4
lecture 4sajinsc
 
IPv6: Internet Protocol version 6
IPv6: Internet Protocol version 6IPv6: Internet Protocol version 6
IPv6: Internet Protocol version 6Ankita Mahajan
 
Recurrence relationclass 5
Recurrence relationclass 5Recurrence relationclass 5
Recurrence relationclass 5Kumar
 
Master method theorem
Master method theoremMaster method theorem
Master method theoremRajendran
 
Introduction To Digital Signatures
Introduction To Digital SignaturesIntroduction To Digital Signatures
Introduction To Digital SignaturesRobert Talbert
 
Ipv6 the next generation protocol
Ipv6 the next generation protocolIpv6 the next generation protocol
Ipv6 the next generation protocolPRADEEP Cheekatla
 
Digital signatures
Digital signaturesDigital signatures
Digital signaturesIshwar Dayal
 
Public Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithmPublic Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithmIndra97065
 
Seminar ppt on digital signature
Seminar ppt on digital signatureSeminar ppt on digital signature
Seminar ppt on digital signaturejolly9293
 
Digital Signature
Digital SignatureDigital Signature
Digital Signaturesaurav5884
 
Introduction to Digital signatures
Introduction to Digital signaturesIntroduction to Digital signatures
Introduction to Digital signaturesRohit Bhat
 

Viewers also liked (17)

lecture 4
lecture 4lecture 4
lecture 4
 
07 dc3
07 dc307 dc3
07 dc3
 
IPv6: Internet Protocol version 6
IPv6: Internet Protocol version 6IPv6: Internet Protocol version 6
IPv6: Internet Protocol version 6
 
Recurrence relationclass 5
Recurrence relationclass 5Recurrence relationclass 5
Recurrence relationclass 5
 
Master method theorem
Master method theoremMaster method theorem
Master method theorem
 
IPv6 Overview
IPv6 OverviewIPv6 Overview
IPv6 Overview
 
Introduction To Digital Signatures
Introduction To Digital SignaturesIntroduction To Digital Signatures
Introduction To Digital Signatures
 
IPv6
IPv6IPv6
IPv6
 
Ipv6 the next generation protocol
Ipv6 the next generation protocolIpv6 the next generation protocol
Ipv6 the next generation protocol
 
Digital signatures
Digital signaturesDigital signatures
Digital signatures
 
Public Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithmPublic Key Cryptography and RSA algorithm
Public Key Cryptography and RSA algorithm
 
Ipv6
Ipv6Ipv6
Ipv6
 
Seminar ppt on digital signature
Seminar ppt on digital signatureSeminar ppt on digital signature
Seminar ppt on digital signature
 
IPv6
IPv6IPv6
IPv6
 
Digital Signature
Digital SignatureDigital Signature
Digital Signature
 
Introduction to Digital signatures
Introduction to Digital signaturesIntroduction to Digital signatures
Introduction to Digital signatures
 
Master theorem
Master theoremMaster theorem
Master theorem
 

Similar to lecture 5

Heap Sort (project).ppt
Heap Sort (project).pptHeap Sort (project).ppt
Heap Sort (project).pptSudhaPatel11
 
Heap Sort (project).ppt
Heap Sort (project).pptHeap Sort (project).ppt
Heap Sort (project).pptAmitShou
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructuresHitesh Wagle
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructuresHitesh Wagle
 
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic Progamming
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic ProgammingAlgorithm Design and Complexity - Course 4 - Heaps and Dynamic Progamming
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic ProgammingTraian Rebedea
 
Algorithm chapter 6
Algorithm chapter 6Algorithm chapter 6
Algorithm chapter 6chidabdu
 
Design and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam HelpDesign and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam HelpProgramming Exam Help
 
Analysis of Algorithms-Heapsort
Analysis of Algorithms-HeapsortAnalysis of Algorithms-Heapsort
Analysis of Algorithms-HeapsortReetesh Gupta
 
computer notes - Data Structures - 26
computer notes - Data Structures - 26computer notes - Data Structures - 26
computer notes - Data Structures - 26ecomputernotes
 
Data Structures- Part5 recursion
Data Structures- Part5 recursionData Structures- Part5 recursion
Data Structures- Part5 recursionAbdullah Al-hazmy
 

Similar to lecture 5 (20)

Algorithms - "heap sort"
Algorithms - "heap sort"Algorithms - "heap sort"
Algorithms - "heap sort"
 
Heaps
HeapsHeaps
Heaps
 
Heap Sort (project).ppt
Heap Sort (project).pptHeap Sort (project).ppt
Heap Sort (project).ppt
 
Cis435 week05
Cis435 week05Cis435 week05
Cis435 week05
 
Chapter 10 ds
Chapter 10 dsChapter 10 ds
Chapter 10 ds
 
Heap Sort (project).ppt
Heap Sort (project).pptHeap Sort (project).ppt
Heap Sort (project).ppt
 
Heap Sort (project).ppt
Heap Sort (project).pptHeap Sort (project).ppt
Heap Sort (project).ppt
 
Heapsort quick sort
Heapsort quick sortHeapsort quick sort
Heapsort quick sort
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructures
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructures
 
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic Progamming
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic ProgammingAlgorithm Design and Complexity - Course 4 - Heaps and Dynamic Progamming
Algorithm Design and Complexity - Course 4 - Heaps and Dynamic Progamming
 
heapsort_bydinesh
heapsort_bydineshheapsort_bydinesh
heapsort_bydinesh
 
Computer Network Assignment Help
Computer Network Assignment HelpComputer Network Assignment Help
Computer Network Assignment Help
 
Algorithm chapter 6
Algorithm chapter 6Algorithm chapter 6
Algorithm chapter 6
 
Unit III Heaps.ppt
Unit III Heaps.pptUnit III Heaps.ppt
Unit III Heaps.ppt
 
Design and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam HelpDesign and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam Help
 
Analysis of Algorithms-Heapsort
Analysis of Algorithms-HeapsortAnalysis of Algorithms-Heapsort
Analysis of Algorithms-Heapsort
 
Tower of Hanoi.ppt
Tower of Hanoi.pptTower of Hanoi.ppt
Tower of Hanoi.ppt
 
computer notes - Data Structures - 26
computer notes - Data Structures - 26computer notes - Data Structures - 26
computer notes - Data Structures - 26
 
Data Structures- Part5 recursion
Data Structures- Part5 recursionData Structures- Part5 recursion
Data Structures- Part5 recursion
 

More from sajinsc

lecture 30
lecture 30lecture 30
lecture 30sajinsc
 
lecture 29
lecture 29lecture 29
lecture 29sajinsc
 
lecture 28
lecture 28lecture 28
lecture 28sajinsc
 
lecture 27
lecture 27lecture 27
lecture 27sajinsc
 
lecture 26
lecture 26lecture 26
lecture 26sajinsc
 
lecture 25
lecture 25lecture 25
lecture 25sajinsc
 
lecture 24
lecture 24lecture 24
lecture 24sajinsc
 
lecture 23
lecture 23lecture 23
lecture 23sajinsc
 
lecture 22
lecture 22lecture 22
lecture 22sajinsc
 
lecture 21
lecture 21lecture 21
lecture 21sajinsc
 
lecture 20
lecture 20lecture 20
lecture 20sajinsc
 
lecture 19
lecture 19lecture 19
lecture 19sajinsc
 
lecture 18
lecture 18lecture 18
lecture 18sajinsc
 
lecture 17
lecture 17lecture 17
lecture 17sajinsc
 
lecture 16
lecture 16lecture 16
lecture 16sajinsc
 
lecture 15
lecture 15lecture 15
lecture 15sajinsc
 
lecture 14
lecture 14lecture 14
lecture 14sajinsc
 
lecture 13
lecture 13lecture 13
lecture 13sajinsc
 
lecture 12
lecture 12lecture 12
lecture 12sajinsc
 
lecture 11
lecture 11lecture 11
lecture 11sajinsc
 

More from sajinsc (20)

lecture 30
lecture 30lecture 30
lecture 30
 
lecture 29
lecture 29lecture 29
lecture 29
 
lecture 28
lecture 28lecture 28
lecture 28
 
lecture 27
lecture 27lecture 27
lecture 27
 
lecture 26
lecture 26lecture 26
lecture 26
 
lecture 25
lecture 25lecture 25
lecture 25
 
lecture 24
lecture 24lecture 24
lecture 24
 
lecture 23
lecture 23lecture 23
lecture 23
 
lecture 22
lecture 22lecture 22
lecture 22
 
lecture 21
lecture 21lecture 21
lecture 21
 
lecture 20
lecture 20lecture 20
lecture 20
 
lecture 19
lecture 19lecture 19
lecture 19
 
lecture 18
lecture 18lecture 18
lecture 18
 
lecture 17
lecture 17lecture 17
lecture 17
 
lecture 16
lecture 16lecture 16
lecture 16
 
lecture 15
lecture 15lecture 15
lecture 15
 
lecture 14
lecture 14lecture 14
lecture 14
 
lecture 13
lecture 13lecture 13
lecture 13
 
lecture 12
lecture 12lecture 12
lecture 12
 
lecture 11
lecture 11lecture 11
lecture 11
 

Recently uploaded

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 

Recently uploaded (20)

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 

lecture 5