SlideShare a Scribd company logo
1 of 52
Download to read offline
Maximum Matching in Bipartite
Graphs
Iterative Improvement Method
Dr. P. Subathra
Prof/ IT
KAMARAJ College of Engg. & Tech
(AUTONOMOUS)
Madurai
Tamil Nadu
India
Maximum Matching in Bipartite Graphs
ā€¢ The Maximum Matching in the Bipartite Graph
can be done through Iterative Improvement
methodology
ā€¢ Two different approaches are available:
1. Ford Fulkersonā€™s Method
2. Shortest Augmenting Path Method
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
2
1. Ford Fulkersonā€™s Augmenting
Path Method
3
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
4
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
5
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
2,6,1,7
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
2,6,1,7
7
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
2,6,1,7
8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
2,6,1,7
9
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
2,6,1,7
10
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,6,1 ļƒ  No path
11
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,6,1 ļƒ  No path
X
12
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,6,2 ļƒ  No path
13
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
14
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
15
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
16
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
17
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
18
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
19
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
20
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
3,8,4,9,5,10
21
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Ford Fulkersonā€™s Augmenting Path
Method
22
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Maximum Matching Theorem
23
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
2. Shortest Augmenting Path - BFS
24
Initial Matching Pairs = 2
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
25
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
1
26
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
27
Number of Matching Pairs = 3
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
28
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
2
29
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
2 3
30
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
6
31
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
8
32
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
7
1
33
6 8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
7
1
34
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
7
1
35
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
7
1
36
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
7
1
37
Number of Matching Pairs = 4
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
38
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
39
3
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
40
6
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
41
6 8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
42
6 8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
43
10
6 8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
44
10
6 8
Augmenting Path From Node 10 : 3-8ļƒŸ4-10
(Trace backward from 10 as 10-4-8-3)
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
45
10
6 8
Augmenting Path From Node 10 : 3-8ļƒŸ4-10
(Trace backward from 10 as 10-4-8-3)
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
46
10
6 8
Augmenting Path From Node 10 : 3-8ļƒŸ4-10
(Trace backward from 10 as 10-4-8-3)
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
47
10
Augmenting Path From Node 10 : 3-8ļƒŸ4-10
(Trace backward from 10 as 10-4-8-3)
8
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
48
10
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
49
10
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
50
10
Total Number of Matching Pairs = 5
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
Shortest Augmenting Path - BFS
51
10
Queue : Empty
Maximum Matching Achieved
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India
52
Dr. P. Subathra, KAMARAJ College of Engg &
Tech (AUTONOMOUS), Madurai,
Tamil Nadu, India

More Related Content

What's hot

Lecture 16 17 code-generation
Lecture 16 17 code-generationLecture 16 17 code-generation
Lecture 16 17 code-generationIffat Anjum
Ā 
3.1,2,3 pushdown automata definition, moves & id
3.1,2,3 pushdown automata   definition, moves & id3.1,2,3 pushdown automata   definition, moves & id
3.1,2,3 pushdown automata definition, moves & idSampath Kumar S
Ā 
Pertemuan 05 Teknik Pencarian (Search) -lanjutan
Pertemuan 05 Teknik Pencarian (Search) -lanjutanPertemuan 05 Teknik Pencarian (Search) -lanjutan
Pertemuan 05 Teknik Pencarian (Search) -lanjutanEndang Retnoningsih
Ā 
P 2 Konsep & Notasi Bahasa - Teknik Kompilasi
P 2 Konsep & Notasi Bahasa - Teknik KompilasiP 2 Konsep & Notasi Bahasa - Teknik Kompilasi
P 2 Konsep & Notasi Bahasa - Teknik Kompilasiahmad haidaroh
Ā 
Ai lecture 7(unit02)
Ai lecture  7(unit02)Ai lecture  7(unit02)
Ai lecture 7(unit02)vikas dhakane
Ā 
Automata
AutomataAutomata
AutomataGaditek
Ā 
System Software /Operating System Lab Report
System Software /Operating System Lab ReportSystem Software /Operating System Lab Report
System Software /Operating System Lab ReportVishnu K N
Ā 
Pushdown Automata - Materi 8 - TBO
Pushdown Automata - Materi 8 - TBOPushdown Automata - Materi 8 - TBO
Pushdown Automata - Materi 8 - TBOahmad haidaroh
Ā 
Insertion sort analysis
Insertion sort analysisInsertion sort analysis
Insertion sort analysisKumar
Ā 
1.3.2 non deterministic finite automaton
1.3.2 non deterministic finite automaton1.3.2 non deterministic finite automaton
1.3.2 non deterministic finite automatonSampath Kumar S
Ā 
FINITE STATE MACHINE AND CHOMSKY HIERARCHY
FINITE STATE MACHINE AND CHOMSKY HIERARCHYFINITE STATE MACHINE AND CHOMSKY HIERARCHY
FINITE STATE MACHINE AND CHOMSKY HIERARCHYnishimanglani
Ā 
Q4.11: ARM Architecture
Q4.11: ARM ArchitectureQ4.11: ARM Architecture
Q4.11: ARM ArchitectureLinaro
Ā 
Push down automata
Push down automataPush down automata
Push down automataSomya Bagai
Ā 
Chomsky hierarchy
Chomsky hierarchyChomsky hierarchy
Chomsky hierarchySANUC2
Ā 
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdf
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdfAI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdf
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdfAsst.prof M.Gokilavani
Ā 
Pushdown automata
Pushdown automataPushdown automata
Pushdown automatalavishka_anuj
Ā 
Automata theory - NFA to DFA Conversion
Automata theory - NFA to DFA ConversionAutomata theory - NFA to DFA Conversion
Automata theory - NFA to DFA ConversionAkila Krishnamoorthy
Ā 

What's hot (20)

Lecture 16 17 code-generation
Lecture 16 17 code-generationLecture 16 17 code-generation
Lecture 16 17 code-generation
Ā 
3.1,2,3 pushdown automata definition, moves & id
3.1,2,3 pushdown automata   definition, moves & id3.1,2,3 pushdown automata   definition, moves & id
3.1,2,3 pushdown automata definition, moves & id
Ā 
Pertemuan 05 Teknik Pencarian (Search) -lanjutan
Pertemuan 05 Teknik Pencarian (Search) -lanjutanPertemuan 05 Teknik Pencarian (Search) -lanjutan
Pertemuan 05 Teknik Pencarian (Search) -lanjutan
Ā 
P 2 Konsep & Notasi Bahasa - Teknik Kompilasi
P 2 Konsep & Notasi Bahasa - Teknik KompilasiP 2 Konsep & Notasi Bahasa - Teknik Kompilasi
P 2 Konsep & Notasi Bahasa - Teknik Kompilasi
Ā 
Ai lecture 7(unit02)
Ai lecture  7(unit02)Ai lecture  7(unit02)
Ai lecture 7(unit02)
Ā 
Automata
AutomataAutomata
Automata
Ā 
System Software /Operating System Lab Report
System Software /Operating System Lab ReportSystem Software /Operating System Lab Report
System Software /Operating System Lab Report
Ā 
Pushdown Automata - Materi 8 - TBO
Pushdown Automata - Materi 8 - TBOPushdown Automata - Materi 8 - TBO
Pushdown Automata - Materi 8 - TBO
Ā 
Insertion sort analysis
Insertion sort analysisInsertion sort analysis
Insertion sort analysis
Ā 
1.3.2 non deterministic finite automaton
1.3.2 non deterministic finite automaton1.3.2 non deterministic finite automaton
1.3.2 non deterministic finite automaton
Ā 
FINITE STATE MACHINE AND CHOMSKY HIERARCHY
FINITE STATE MACHINE AND CHOMSKY HIERARCHYFINITE STATE MACHINE AND CHOMSKY HIERARCHY
FINITE STATE MACHINE AND CHOMSKY HIERARCHY
Ā 
Q4.11: ARM Architecture
Q4.11: ARM ArchitectureQ4.11: ARM Architecture
Q4.11: ARM Architecture
Ā 
Push down automata
Push down automataPush down automata
Push down automata
Ā 
FreeRTOS Course - Semaphore/Mutex Management
FreeRTOS Course - Semaphore/Mutex ManagementFreeRTOS Course - Semaphore/Mutex Management
FreeRTOS Course - Semaphore/Mutex Management
Ā 
Chomsky hierarchy
Chomsky hierarchyChomsky hierarchy
Chomsky hierarchy
Ā 
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdf
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdfAI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdf
AI3391 ARTIFICIAL INTELLIGENCE UNIT II notes.pdf
Ā 
Strongly connected components
Strongly connected componentsStrongly connected components
Strongly connected components
Ā 
Pushdown automata
Pushdown automataPushdown automata
Pushdown automata
Ā 
Undecidabality
UndecidabalityUndecidabality
Undecidabality
Ā 
Automata theory - NFA to DFA Conversion
Automata theory - NFA to DFA ConversionAutomata theory - NFA to DFA Conversion
Automata theory - NFA to DFA Conversion
Ā 

Similar to Maximum matching in bipartite graphs iterative improvement method (6)

Huffman tree coding greedy approach
Huffman tree coding  greedy approachHuffman tree coding  greedy approach
Huffman tree coding greedy approach
Ā 
The stable marriage problem iterative improvement method
The stable marriage problem iterative improvement methodThe stable marriage problem iterative improvement method
The stable marriage problem iterative improvement method
Ā 
Knapsack dynamic programming formula top down (1)
Knapsack dynamic programming formula top down (1)Knapsack dynamic programming formula top down (1)
Knapsack dynamic programming formula top down (1)
Ā 
Sutlej 3 months internship
Sutlej 3 months internshipSutlej 3 months internship
Sutlej 3 months internship
Ā 
Jawahar Resume updated
Jawahar Resume updatedJawahar Resume updated
Jawahar Resume updated
Ā 
Admission in Bangalore Engineering Colleges
Admission in Bangalore Engineering CollegesAdmission in Bangalore Engineering Colleges
Admission in Bangalore Engineering Colleges
Ā 

More from P. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai

More from P. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai (20)

TestFile
TestFileTestFile
TestFile
Ā 
3.1 Trees ( Introduction, Binary Trees & Binary Search Trees)
3.1 Trees ( Introduction, Binary Trees & Binary Search Trees)3.1 Trees ( Introduction, Binary Trees & Binary Search Trees)
3.1 Trees ( Introduction, Binary Trees & Binary Search Trees)
Ā 
2.1 STACK & QUEUE ADTS
2.1 STACK & QUEUE ADTS2.1 STACK & QUEUE ADTS
2.1 STACK & QUEUE ADTS
Ā 
2.2 stack applications Infix to Postfix & Evaluation of Post Fix
2.2 stack applications Infix to Postfix & Evaluation of Post Fix2.2 stack applications Infix to Postfix & Evaluation of Post Fix
2.2 stack applications Infix to Postfix & Evaluation of Post Fix
Ā 
1. 6 doubly linked list
1. 6 doubly linked list1. 6 doubly linked list
1. 6 doubly linked list
Ā 
1. 5 Circular singly linked list
1. 5 Circular singly linked list1. 5 Circular singly linked list
1. 5 Circular singly linked list
Ā 
1. 4 Singly linked list deletion
1. 4 Singly linked list deletion1. 4 Singly linked list deletion
1. 4 Singly linked list deletion
Ā 
1. 3 singly linked list insertion 2
1. 3 singly linked list   insertion 21. 3 singly linked list   insertion 2
1. 3 singly linked list insertion 2
Ā 
1. 2 Singly Linked List
1. 2 Singly Linked List1. 2 Singly Linked List
1. 2 Singly Linked List
Ā 
1. C Basics for Data Structures Bridge Course
1. C Basics for Data Structures   Bridge Course1. C Basics for Data Structures   Bridge Course
1. C Basics for Data Structures Bridge Course
Ā 
Approximation Algorithms TSP
Approximation Algorithms   TSPApproximation Algorithms   TSP
Approximation Algorithms TSP
Ā 
Optimal binary search tree dynamic programming
Optimal binary search tree   dynamic programmingOptimal binary search tree   dynamic programming
Optimal binary search tree dynamic programming
Ā 
Knapsack dynamic programming formula bottom up
Knapsack dynamic programming formula bottom upKnapsack dynamic programming formula bottom up
Knapsack dynamic programming formula bottom up
Ā 
Simplex method
Simplex methodSimplex method
Simplex method
Ā 
Simplex method
Simplex methodSimplex method
Simplex method
Ā 
Multiplication of integers & strassens matrix multiplication subi notes
Multiplication of integers & strassens matrix multiplication   subi notesMultiplication of integers & strassens matrix multiplication   subi notes
Multiplication of integers & strassens matrix multiplication subi notes
Ā 
Multiplication of large integers problem subi notes
Multiplication of large integers  problem  subi notesMultiplication of large integers  problem  subi notes
Multiplication of large integers problem subi notes
Ā 
Huffman tree coding
Huffman tree codingHuffman tree coding
Huffman tree coding
Ā 
Final maximum matching in bipartite graphs
Final maximum matching in bipartite graphsFinal maximum matching in bipartite graphs
Final maximum matching in bipartite graphs
Ā 
5. cs8451 daa anna univ question bank unit 5
5. cs8451 daa anna univ question bank unit 55. cs8451 daa anna univ question bank unit 5
5. cs8451 daa anna univ question bank unit 5
Ā 

Recently uploaded

College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
Ā 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoĆ£o Esperancinha
Ā 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
Ā 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
Ā 
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...9953056974 Low Rate Call Girls In Saket, Delhi NCR
Ā 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
Ā 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
Ā 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
Ā 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
Ā 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
Ā 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
Ā 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2RajaP95
Ā 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
Ā 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
Ā 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
Ā 

Recently uploaded (20)

College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Ā 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Ā 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Ā 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Ā 
young call girls in Rajiv ChowkšŸ” 9953056974 šŸ” Delhi escort Service
young call girls in Rajiv ChowkšŸ” 9953056974 šŸ” Delhi escort Serviceyoung call girls in Rajiv ChowkšŸ” 9953056974 šŸ” Delhi escort Service
young call girls in Rajiv ChowkšŸ” 9953056974 šŸ” Delhi escort Service
Ā 
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
šŸ”9953056974šŸ”!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
Ā 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Ā 
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Ā 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Ā 
ā˜… CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
ā˜… CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCRā˜… CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
ā˜… CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
Ā 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Ā 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
Ā 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Ā 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Ā 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
Ā 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Ā 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
Ā 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Ā 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
Ā 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Ā 

Maximum matching in bipartite graphs iterative improvement method

  • 1. Maximum Matching in Bipartite Graphs Iterative Improvement Method Dr. P. Subathra Prof/ IT KAMARAJ College of Engg. & Tech (AUTONOMOUS) Madurai Tamil Nadu India
  • 2. Maximum Matching in Bipartite Graphs ā€¢ The Maximum Matching in the Bipartite Graph can be done through Iterative Improvement methodology ā€¢ Two different approaches are available: 1. Ford Fulkersonā€™s Method 2. Shortest Augmenting Path Method Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India 2
  • 3. 1. Ford Fulkersonā€™s Augmenting Path Method 3 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 4. Ford Fulkersonā€™s Augmenting Path Method 4 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 5. Ford Fulkersonā€™s Augmenting Path Method 5 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 6. Ford Fulkersonā€™s Augmenting Path Method 2,6,1,7 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 7. Ford Fulkersonā€™s Augmenting Path Method 2,6,1,7 7 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 8. Ford Fulkersonā€™s Augmenting Path Method 2,6,1,7 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 9. Ford Fulkersonā€™s Augmenting Path Method 2,6,1,7 9 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 10. Ford Fulkersonā€™s Augmenting Path Method 2,6,1,7 10 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 11. Ford Fulkersonā€™s Augmenting Path Method 3,6,1 ļƒ  No path 11 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 12. Ford Fulkersonā€™s Augmenting Path Method 3,6,1 ļƒ  No path X 12 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 13. Ford Fulkersonā€™s Augmenting Path Method 3,6,2 ļƒ  No path 13 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 14. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 14 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 15. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 15 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 16. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 16 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 17. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 17 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 18. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 18 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 19. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 19 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 20. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 20 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 21. Ford Fulkersonā€™s Augmenting Path Method 3,8,4,9,5,10 21 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 22. Ford Fulkersonā€™s Augmenting Path Method 22 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 23. Maximum Matching Theorem 23 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 24. 2. Shortest Augmenting Path - BFS 24 Initial Matching Pairs = 2 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 25. Shortest Augmenting Path - BFS 25 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 26. Shortest Augmenting Path - BFS 1 26 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 27. Shortest Augmenting Path - BFS 27 Number of Matching Pairs = 3 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 28. Shortest Augmenting Path - BFS 28 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 29. Shortest Augmenting Path - BFS 2 29 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 30. Shortest Augmenting Path - BFS 2 3 30 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 31. Shortest Augmenting Path - BFS 6 31 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 32. Shortest Augmenting Path - BFS 8 32 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 33. Shortest Augmenting Path - BFS 7 1 33 6 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 34. Shortest Augmenting Path - BFS 7 1 34 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 35. Shortest Augmenting Path - BFS 7 1 35 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 36. Shortest Augmenting Path - BFS 7 1 36 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 37. Shortest Augmenting Path - BFS 7 1 37 Number of Matching Pairs = 4 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 38. Shortest Augmenting Path - BFS 38 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 39. Shortest Augmenting Path - BFS 39 3 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 40. Shortest Augmenting Path - BFS 40 6 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 41. Shortest Augmenting Path - BFS 41 6 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 42. Shortest Augmenting Path - BFS 42 6 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 43. Shortest Augmenting Path - BFS 43 10 6 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 44. Shortest Augmenting Path - BFS 44 10 6 8 Augmenting Path From Node 10 : 3-8ļƒŸ4-10 (Trace backward from 10 as 10-4-8-3) Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 45. Shortest Augmenting Path - BFS 45 10 6 8 Augmenting Path From Node 10 : 3-8ļƒŸ4-10 (Trace backward from 10 as 10-4-8-3) Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 46. Shortest Augmenting Path - BFS 46 10 6 8 Augmenting Path From Node 10 : 3-8ļƒŸ4-10 (Trace backward from 10 as 10-4-8-3) Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 47. Shortest Augmenting Path - BFS 47 10 Augmenting Path From Node 10 : 3-8ļƒŸ4-10 (Trace backward from 10 as 10-4-8-3) 8 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 48. Shortest Augmenting Path - BFS 48 10 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 49. Shortest Augmenting Path - BFS 49 10 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 50. Shortest Augmenting Path - BFS 50 10 Total Number of Matching Pairs = 5 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 51. Shortest Augmenting Path - BFS 51 10 Queue : Empty Maximum Matching Achieved Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India
  • 52. 52 Dr. P. Subathra, KAMARAJ College of Engg & Tech (AUTONOMOUS), Madurai, Tamil Nadu, India