SlideShare a Scribd company logo
Application of Data Structures
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object]
Priority Queue (PQ) Structures ,[object Object],[object Object],[object Object],[object Object]
Common PQ operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Optional PQ operations ,[object Object],[object Object],[object Object],[object Object]
Considerations when implementing a PQ in competition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Linear Array ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Binary Heaps ,[object Object],[object Object],[object Object],[object Object],[object Object]
Array implementation ,[object Object],[object Object],[object Object],[object Object],[object Object]
PQ Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on a BHeap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
BHeap Operations: Summary ,[object Object],[object Object],[object Object],[object Object],[object Object]
Corollary: Heapsort ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Binomial Trees ,[object Object],[object Object],[object Object],[object Object],[object Object]
Properties of Binomial Trees ,[object Object],[object Object],[object Object],[object Object],[object Object]
Binomial Heaps ,[object Object],[object Object],[object Object],[object Object],[object Object]
Binomial Heap Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on Binomial Trees ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Operations on binomial heaps ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More Operations ,[object Object],[object Object],[object Object],[object Object]
Summary – Binomial Heaps ,[object Object],[object Object],[object Object],[object Object]
Application of heaps: Dijkstra ,[object Object],[object Object],[object Object],[object Object],[object Object]
Running of Dijkstra’s algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis of running time ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum on Intervals ,[object Object],[object Object]
Cumulative Sum Array ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cumulative Sum Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sum of Intervals Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sum of Intervals Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sum of Intervals Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Augmenting Data Structures ,[object Object],[object Object],[object Object],[object Object]
Other data structures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Brief summary of signals
Brief summary of signalsBrief summary of signals
Brief summary of signals
aroosa khan
 
A Note on TopicRNN
A Note on TopicRNNA Note on TopicRNN
A Note on TopicRNN
Tomonari Masada
 
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
pgdayrussia
 
03.01 hash tables
03.01 hash tables03.01 hash tables
03.01 hash tables
Jyotsna Suryadevara
 
lecture 5
lecture 5lecture 5
lecture 5
sajinsc
 
Soft Heaps
Soft HeapsSoft Heaps
Scribed lec8
Scribed lec8Scribed lec8
Scribed lec8
Praveen Kumar
 
Lec16
Lec16Lec16
220exercises2
220exercises2220exercises2
220exercises2
sadhanakumble
 
pradeepbishtLecture13 div conq
pradeepbishtLecture13 div conqpradeepbishtLecture13 div conq
pradeepbishtLecture13 div conq
Pradeep Bisht
 
Heaps 4up
Heaps 4upHeaps 4up
Big datacourse
Big datacourseBig datacourse
Big datacourse
Massimiliano Ruocco
 
cryptography_non_abeliean
cryptography_non_abelieancryptography_non_abeliean
cryptography_non_abeliean
NARAYANASWAMY CHANDRAMOWLISWARAN
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
MeetupDataScienceRoma
 
Lec8
Lec8Lec8
Advanced data structures slide 1 2
Advanced data structures slide 1 2Advanced data structures slide 1 2
Advanced data structures slide 1 2
jomerson remorosa
 
Iterative Compression
Iterative CompressionIterative Compression
Iterative Compression
ASPAK2014
 
Graph Edit Distance: Basics & Trends
Graph Edit Distance: Basics & TrendsGraph Edit Distance: Basics & Trends
Graph Edit Distance: Basics & Trends
Luc Brun
 
Aaex3 group2
Aaex3 group2Aaex3 group2
Aaex3 group2
Shiang-Yun Yang
 

What's hot (19)

Brief summary of signals
Brief summary of signalsBrief summary of signals
Brief summary of signals
 
A Note on TopicRNN
A Note on TopicRNNA Note on TopicRNN
A Note on TopicRNN
 
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
PG Day'14 Russia, GIN — Stronger than ever in 9.4 and further, Александр Коро...
 
03.01 hash tables
03.01 hash tables03.01 hash tables
03.01 hash tables
 
lecture 5
lecture 5lecture 5
lecture 5
 
Soft Heaps
Soft HeapsSoft Heaps
Soft Heaps
 
Scribed lec8
Scribed lec8Scribed lec8
Scribed lec8
 
Lec16
Lec16Lec16
Lec16
 
220exercises2
220exercises2220exercises2
220exercises2
 
pradeepbishtLecture13 div conq
pradeepbishtLecture13 div conqpradeepbishtLecture13 div conq
pradeepbishtLecture13 div conq
 
Heaps 4up
Heaps 4upHeaps 4up
Heaps 4up
 
Big datacourse
Big datacourseBig datacourse
Big datacourse
 
cryptography_non_abeliean
cryptography_non_abelieancryptography_non_abeliean
cryptography_non_abeliean
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
 
Lec8
Lec8Lec8
Lec8
 
Advanced data structures slide 1 2
Advanced data structures slide 1 2Advanced data structures slide 1 2
Advanced data structures slide 1 2
 
Iterative Compression
Iterative CompressionIterative Compression
Iterative Compression
 
Graph Edit Distance: Basics & Trends
Graph Edit Distance: Basics & TrendsGraph Edit Distance: Basics & Trends
Graph Edit Distance: Basics & Trends
 
Aaex3 group2
Aaex3 group2Aaex3 group2
Aaex3 group2
 

Viewers also liked

23 priority queue
23 priority queue23 priority queue
23 priority queue
Godo Dodo
 
Applications of queues ii
Applications of queues   iiApplications of queues   ii
Applications of queues ii
Tech_MX
 
Priority queue
Priority queuePriority queue
Priority queue
Alvian yudha Prawira
 
queue & its applications
queue & its applicationsqueue & its applications
queue & its applications
somendra kumar
 
Deque and its applications
Deque and its applicationsDeque and its applications
Deque and its applications
Jsaddam Hussain
 
Algorithm: priority queue
Algorithm: priority queueAlgorithm: priority queue
Algorithm: priority queue
Tareq Hasan
 

Viewers also liked (6)

23 priority queue
23 priority queue23 priority queue
23 priority queue
 
Applications of queues ii
Applications of queues   iiApplications of queues   ii
Applications of queues ii
 
Priority queue
Priority queuePriority queue
Priority queue
 
queue & its applications
queue & its applicationsqueue & its applications
queue & its applications
 
Deque and its applications
Deque and its applicationsDeque and its applications
Deque and its applications
 
Algorithm: priority queue
Algorithm: priority queueAlgorithm: priority queue
Algorithm: priority queue
 

Similar to Applicationof datastructures

03-data-structures.pdf
03-data-structures.pdf03-data-structures.pdf
03-data-structures.pdf
Nash229987
 
lecture 6
lecture 6lecture 6
lecture 6
sajinsc
 
Algorithms Design Homework Help
Algorithms Design Homework HelpAlgorithms Design Homework Help
Algorithms Design Homework Help
Programming Homework Help
 
Review session2
Review session2Review session2
Review session2
NEEDY12345
 
Lecture 5_ Sorting and order statistics.pptx
Lecture 5_ Sorting and order statistics.pptxLecture 5_ Sorting and order statistics.pptx
Lecture 5_ Sorting and order statistics.pptx
JosephKariuki46
 
lecture 12
lecture 12lecture 12
lecture 12
sajinsc
 
Algorithms Design Exam Help
Algorithms Design Exam HelpAlgorithms Design Exam Help
Algorithms Design Exam Help
Programming Exam Help
 
Heapsort quick sort
Heapsort quick sortHeapsort quick sort
Heapsort quick sort
Dr Sandeep Kumar Poonia
 
lecture 11
lecture 11lecture 11
lecture 11
sajinsc
 
CS-102 BT_24_3_14 Binary Tree Lectures.pdf
CS-102 BT_24_3_14 Binary Tree Lectures.pdfCS-102 BT_24_3_14 Binary Tree Lectures.pdf
CS-102 BT_24_3_14 Binary Tree Lectures.pdf
ssuser034ce1
 
Sorting
SortingSorting
Hashing
HashingHashing
Hashing
amoldkul
 
lecture 13
lecture 13lecture 13
lecture 13
sajinsc
 
Unit III Heaps.ppt
Unit III Heaps.pptUnit III Heaps.ppt
Unit III Heaps.ppt
RohitkumarYadav80
 
High-Performance Haskell
High-Performance HaskellHigh-Performance Haskell
High-Performance Haskell
Johan Tibell
 
Binomial heap (a concept of Data Structure)
Binomial heap (a concept of Data Structure)Binomial heap (a concept of Data Structure)
Binomial heap (a concept of Data Structure)
Saliha Bilal
 
Algorithms - "heap sort"
Algorithms - "heap sort"Algorithms - "heap sort"
Algorithms - "heap sort"
Ra'Fat Al-Msie'deen
 
Algorithm chapter 7
Algorithm chapter 7Algorithm chapter 7
Algorithm chapter 7
chidabdu
 
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
Traian Rebedea
 
Red Black Trees
Red Black TreesRed Black Trees
Red Black Trees
Varun Mahajan
 

Similar to Applicationof datastructures (20)

03-data-structures.pdf
03-data-structures.pdf03-data-structures.pdf
03-data-structures.pdf
 
lecture 6
lecture 6lecture 6
lecture 6
 
Algorithms Design Homework Help
Algorithms Design Homework HelpAlgorithms Design Homework Help
Algorithms Design Homework Help
 
Review session2
Review session2Review session2
Review session2
 
Lecture 5_ Sorting and order statistics.pptx
Lecture 5_ Sorting and order statistics.pptxLecture 5_ Sorting and order statistics.pptx
Lecture 5_ Sorting and order statistics.pptx
 
lecture 12
lecture 12lecture 12
lecture 12
 
Algorithms Design Exam Help
Algorithms Design Exam HelpAlgorithms Design Exam Help
Algorithms Design Exam Help
 
Heapsort quick sort
Heapsort quick sortHeapsort quick sort
Heapsort quick sort
 
lecture 11
lecture 11lecture 11
lecture 11
 
CS-102 BT_24_3_14 Binary Tree Lectures.pdf
CS-102 BT_24_3_14 Binary Tree Lectures.pdfCS-102 BT_24_3_14 Binary Tree Lectures.pdf
CS-102 BT_24_3_14 Binary Tree Lectures.pdf
 
Sorting
SortingSorting
Sorting
 
Hashing
HashingHashing
Hashing
 
lecture 13
lecture 13lecture 13
lecture 13
 
Unit III Heaps.ppt
Unit III Heaps.pptUnit III Heaps.ppt
Unit III Heaps.ppt
 
High-Performance Haskell
High-Performance HaskellHigh-Performance Haskell
High-Performance Haskell
 
Binomial heap (a concept of Data Structure)
Binomial heap (a concept of Data Structure)Binomial heap (a concept of Data Structure)
Binomial heap (a concept of Data Structure)
 
Algorithms - "heap sort"
Algorithms - "heap sort"Algorithms - "heap sort"
Algorithms - "heap sort"
 
Algorithm chapter 7
Algorithm chapter 7Algorithm chapter 7
Algorithm chapter 7
 
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
 
Red Black Trees
Red Black TreesRed Black Trees
Red Black Trees
 

More from Hitesh Wagle

Zinkprinter
ZinkprinterZinkprinter
Zinkprinter
Hitesh Wagle
 
48695528 the-sulphur-system
48695528 the-sulphur-system48695528 the-sulphur-system
48695528 the-sulphur-system
Hitesh Wagle
 
Fundamentals of data structures ellis horowitz & sartaj sahni
Fundamentals of data structures   ellis horowitz & sartaj sahniFundamentals of data structures   ellis horowitz & sartaj sahni
Fundamentals of data structures ellis horowitz & sartaj sahni
Hitesh Wagle
 
Diode logic crkts
Diode logic crktsDiode logic crkts
Diode logic crkts
Hitesh Wagle
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructures
Hitesh Wagle
 
Oops index
Oops indexOops index
Oops index
Hitesh Wagle
 
Google search tips
Google search tipsGoogle search tips
Google search tipsHitesh Wagle
 
Diode logic crkts
Diode logic crktsDiode logic crkts
Diode logic crkts
Hitesh Wagle
 
Green chem 2
Green chem 2Green chem 2
Green chem 2
Hitesh Wagle
 
Convergence tests
Convergence testsConvergence tests
Convergence tests
Hitesh Wagle
 
Lecture notes on infinite sequences and series
Lecture notes on infinite sequences and seriesLecture notes on infinite sequences and series
Lecture notes on infinite sequences and series
Hitesh Wagle
 
Switkes01200543268
Switkes01200543268Switkes01200543268
Switkes01200543268
Hitesh Wagle
 
Cryptoghraphy
CryptoghraphyCryptoghraphy
Cryptoghraphy
Hitesh Wagle
 
Quote i2 cns_cnr_25064966
Quote i2 cns_cnr_25064966Quote i2 cns_cnr_25064966
Quote i2 cns_cnr_25064966
Hitesh Wagle
 
Pointers
PointersPointers
Pointers
Hitesh Wagle
 
P1
P1P1
Notes
NotesNotes
Function notes 2
Function notes 2Function notes 2
Function notes 2
Hitesh Wagle
 

More from Hitesh Wagle (20)

Zinkprinter
ZinkprinterZinkprinter
Zinkprinter
 
48695528 the-sulphur-system
48695528 the-sulphur-system48695528 the-sulphur-system
48695528 the-sulphur-system
 
Fundamentals of data structures ellis horowitz & sartaj sahni
Fundamentals of data structures   ellis horowitz & sartaj sahniFundamentals of data structures   ellis horowitz & sartaj sahni
Fundamentals of data structures ellis horowitz & sartaj sahni
 
Diode logic crkts
Diode logic crktsDiode logic crkts
Diode logic crkts
 
Applicationof datastructures
Applicationof datastructuresApplicationof datastructures
Applicationof datastructures
 
Oops index
Oops indexOops index
Oops index
 
Google search tips
Google search tipsGoogle search tips
Google search tips
 
Diode logic crkts
Diode logic crktsDiode logic crkts
Diode logic crkts
 
Computer
ComputerComputer
Computer
 
Green chem 2
Green chem 2Green chem 2
Green chem 2
 
Convergence tests
Convergence testsConvergence tests
Convergence tests
 
Lecture notes on infinite sequences and series
Lecture notes on infinite sequences and seriesLecture notes on infinite sequences and series
Lecture notes on infinite sequences and series
 
Switkes01200543268
Switkes01200543268Switkes01200543268
Switkes01200543268
 
Cryptoghraphy
CryptoghraphyCryptoghraphy
Cryptoghraphy
 
Quote i2 cns_cnr_25064966
Quote i2 cns_cnr_25064966Quote i2 cns_cnr_25064966
Quote i2 cns_cnr_25064966
 
Pointers
PointersPointers
Pointers
 
P1
P1P1
P1
 
Notes
NotesNotes
Notes
 
Inheritance
InheritanceInheritance
Inheritance
 
Function notes 2
Function notes 2Function notes 2
Function notes 2
 

Recently uploaded

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 

Recently uploaded (20)

Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 

Applicationof datastructures

  • 1. Application of Data Structures
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.