SlideShare ist ein Scribd-Unternehmen logo
1 von 11
Weighted graphs ,[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],[object Object],[object Object],[object Object],[object Object],[object Object],            
The Weighted Graph ADT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The minimum spanning tree problem ,[object Object],[object Object],[object Object],[object Object],[object Object],                       a  b  m  l  k  j  i  h  d  e  f  g  c
[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],[object Object]
Generation of a MST : the Prim's algorithm ,[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],[object Object]
Generation of a MST : the Kruskal's algorithm ,[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],[object Object],[object Object],[object Object],[object Object]
The shortest-path problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The shortest-path problem: Dijkstra's algorithm ,[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]
Dijkstra's algorithm (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Was ist angesagt?

Connectivity of graphs
Connectivity of graphsConnectivity of graphs
Connectivity of graphssana younas
 
Relations & Functions
Relations & FunctionsRelations & Functions
Relations & FunctionsJ Edwards
 
21 monotone sequences x
21 monotone sequences x21 monotone sequences x
21 monotone sequences xmath266
 
Knapsack Problem (DP & GREEDY)
Knapsack Problem (DP & GREEDY)Knapsack Problem (DP & GREEDY)
Knapsack Problem (DP & GREEDY)Ridhima Chowdhury
 
Methods of solving ODE
Methods of solving ODEMethods of solving ODE
Methods of solving ODEkishor pokar
 
Pigeonhole Principle
Pigeonhole PrinciplePigeonhole Principle
Pigeonhole Principlenielsoli
 
Limits and continuity powerpoint
Limits and continuity powerpointLimits and continuity powerpoint
Limits and continuity powerpointcanalculus
 
Introduction to Graph Theory
Introduction to Graph TheoryIntroduction to Graph Theory
Introduction to Graph TheoryYosuke Mizutani
 
Dijkstra’s algorithm
Dijkstra’s algorithmDijkstra’s algorithm
Dijkstra’s algorithmfaisal2204
 
Introduction to Functions of Several Variables
Introduction to Functions of Several VariablesIntroduction to Functions of Several Variables
Introduction to Functions of Several VariablesNhan Nguyen
 
Lecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inferenceLecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inferenceasimnawaz54
 
Max flow min cut
Max flow min cutMax flow min cut
Max flow min cutMayank Garg
 

Was ist angesagt? (20)

Connectivity of graph
Connectivity of graphConnectivity of graph
Connectivity of graph
 
Inner product spaces
Inner product spacesInner product spaces
Inner product spaces
 
Connectivity of graphs
Connectivity of graphsConnectivity of graphs
Connectivity of graphs
 
Euler graph
Euler graphEuler graph
Euler graph
 
Relations & Functions
Relations & FunctionsRelations & Functions
Relations & Functions
 
21 monotone sequences x
21 monotone sequences x21 monotone sequences x
21 monotone sequences x
 
Network flows
Network flowsNetwork flows
Network flows
 
Graph theory
Graph theoryGraph theory
Graph theory
 
Knapsack Problem (DP & GREEDY)
Knapsack Problem (DP & GREEDY)Knapsack Problem (DP & GREEDY)
Knapsack Problem (DP & GREEDY)
 
Data Structure and Algorithm - Divide and Conquer
Data Structure and Algorithm - Divide and ConquerData Structure and Algorithm - Divide and Conquer
Data Structure and Algorithm - Divide and Conquer
 
Methods of solving ODE
Methods of solving ODEMethods of solving ODE
Methods of solving ODE
 
Pigeonhole Principle
Pigeonhole PrinciplePigeonhole Principle
Pigeonhole Principle
 
Limits and continuity powerpoint
Limits and continuity powerpointLimits and continuity powerpoint
Limits and continuity powerpoint
 
Introduction to Graph Theory
Introduction to Graph TheoryIntroduction to Graph Theory
Introduction to Graph Theory
 
Dijkstra’s algorithm
Dijkstra’s algorithmDijkstra’s algorithm
Dijkstra’s algorithm
 
Introduction to Functions of Several Variables
Introduction to Functions of Several VariablesIntroduction to Functions of Several Variables
Introduction to Functions of Several Variables
 
P1 . norm vector space
P1 . norm vector spaceP1 . norm vector space
P1 . norm vector space
 
Lecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inferenceLecture 2 predicates quantifiers and rules of inference
Lecture 2 predicates quantifiers and rules of inference
 
Numerical analysis ppt
Numerical analysis pptNumerical analysis ppt
Numerical analysis ppt
 
Max flow min cut
Max flow min cutMax flow min cut
Max flow min cut
 

Ähnlich wie Weighted graphs

Algorithm chapter 9
Algorithm chapter 9Algorithm chapter 9
Algorithm chapter 9chidabdu
 
Unit26 shortest pathalgorithm
Unit26 shortest pathalgorithmUnit26 shortest pathalgorithm
Unit26 shortest pathalgorithmmeisamstar
 
Shortest path by using suitable algorithm.pdf
Shortest path by using suitable algorithm.pdfShortest path by using suitable algorithm.pdf
Shortest path by using suitable algorithm.pdfzefergaming
 
Comparative Report Ed098
Comparative Report Ed098Comparative Report Ed098
Comparative Report Ed098mikebrowl
 
test pre
test pretest pre
test prefarazch
 
lecture 16
lecture 16lecture 16
lecture 16sajinsc
 
Applied Graph Theory Applications
Applied Graph Theory ApplicationsApplied Graph Theory Applications
Applied Graph Theory Applicationsvipin3195
 
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEA NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEijscmcj
 
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEA NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEijscmc
 
Lecture_10_Parallel_Algorithms_Part_II.ppt
Lecture_10_Parallel_Algorithms_Part_II.pptLecture_10_Parallel_Algorithms_Part_II.ppt
Lecture_10_Parallel_Algorithms_Part_II.pptWahyuAde4
 
Can someone provide a solution for this assignmentPurpose of This.pdf
Can someone provide a solution for this assignmentPurpose of This.pdfCan someone provide a solution for this assignmentPurpose of This.pdf
Can someone provide a solution for this assignmentPurpose of This.pdfnaveenkumar29100
 
Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Traian Rebedea
 

Ähnlich wie Weighted graphs (20)

DAA_Presentation - Copy.pptx
DAA_Presentation - Copy.pptxDAA_Presentation - Copy.pptx
DAA_Presentation - Copy.pptx
 
Daa chapter13
Daa chapter13Daa chapter13
Daa chapter13
 
Algorithm chapter 9
Algorithm chapter 9Algorithm chapter 9
Algorithm chapter 9
 
Unit26 shortest pathalgorithm
Unit26 shortest pathalgorithmUnit26 shortest pathalgorithm
Unit26 shortest pathalgorithm
 
Shortest path by using suitable algorithm.pdf
Shortest path by using suitable algorithm.pdfShortest path by using suitable algorithm.pdf
Shortest path by using suitable algorithm.pdf
 
Comparative Report Ed098
Comparative Report Ed098Comparative Report Ed098
Comparative Report Ed098
 
Dijkstra
DijkstraDijkstra
Dijkstra
 
d
dd
d
 
test pre
test pretest pre
test pre
 
(148065320) dijistra algo
(148065320) dijistra algo(148065320) dijistra algo
(148065320) dijistra algo
 
lecture 16
lecture 16lecture 16
lecture 16
 
Spanning trees
Spanning treesSpanning trees
Spanning trees
 
Daa chapter11
Daa chapter11Daa chapter11
Daa chapter11
 
Applied Graph Theory Applications
Applied Graph Theory ApplicationsApplied Graph Theory Applications
Applied Graph Theory Applications
 
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEA NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
 
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREEA NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
A NEW PARALLEL ALGORITHM FOR COMPUTING MINIMUM SPANNING TREE
 
Data structure and algorithm
Data structure and algorithmData structure and algorithm
Data structure and algorithm
 
Lecture_10_Parallel_Algorithms_Part_II.ppt
Lecture_10_Parallel_Algorithms_Part_II.pptLecture_10_Parallel_Algorithms_Part_II.ppt
Lecture_10_Parallel_Algorithms_Part_II.ppt
 
Can someone provide a solution for this assignmentPurpose of This.pdf
Can someone provide a solution for this assignmentPurpose of This.pdfCan someone provide a solution for this assignmentPurpose of This.pdf
Can someone provide a solution for this assignmentPurpose of This.pdf
 
Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9
 

Mehr von Core Condor

Mehr von Core Condor (6)

Red black 2
Red black 2Red black 2
Red black 2
 
Red black 1
Red black 1Red black 1
Red black 1
 
Graph isomorphism
Graph isomorphismGraph isomorphism
Graph isomorphism
 
Disjoint sets
Disjoint setsDisjoint sets
Disjoint sets
 
Red blacktrees
Red blacktreesRed blacktrees
Red blacktrees
 
2 3 tree
2 3 tree2 3 tree
2 3 tree
 

Kürzlich hochgeladen

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
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
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
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 

Kürzlich hochgeladen (20)

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
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
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
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
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 ...
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 

Weighted graphs

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.