Quick sort and binary search PDF

Dec 1, 201411 likes1,331 views

This document is about one of the searching and sorting techniques. I had prepare a PDF document about one of the Searching technique in Data structure that is Binary Search and one of the Sorting Technique that is Quick Sort.

INFORMATION AND TECHNOLOGY Branch Code : 016
Data Structures Subject code : 2130702
Presentation on
Quick Sort and Binary Search

Data Structure
Quick Sort and Binary Search

INDEX
Quick Sort
Binary Search
Summary
References

Quick Sort
Quicksort Concept
(<pivot)
LEFT group
(> pivot)
RIGHT group apply Quicksort to the subgroups

Quick Sort
Quicksort Start
Unsorted Array

Quick Sort
Quicksort Step 1
26
33
35
29
19
pivot
12
22

Quick Sort
Quicksort Step 2
26
33
35
29
19
left
pivot
12
22
right

Quick Sort
Quicksort Step 3
26
33
35
29
19
left
pivot
12
22
right

Quick Sort
Quicksort Step 4
26
33
35
29
19
left
pivot
12
22
right
26
22
35
29
19
left
pivot
12
33
right

Quick Sort
Quicksort Step 5
left
26
22
35
29
19
left
pivot
12
33
right

Quick Sort
Quicksort Step 6
26
22
35
29
19
left
12
33
right
26
22
12
29
19
pivot
35
33
left
right
pivot

Quick Sort
Quicksort Step 7
26
22
12
29
19
left
pivot
35
33
right
26
22
12
19
29
left
pivot
35
33
right

Quick Sort
Quicksort Step 8
26
22
12
19
29
left
pivot
35
33
right
26
19
22
12
29
pivot
35
LEFT
RIGHT

Quick Sort
Quicksort Step 9
pivot
26
19
22
12
29
previous pivot
35
33
Quicksort
Quicksort
pivot
12
19
22
29
33
35
26
26
12
19
22
29
33
35

Quick Sort





Worst case for quicksort

Binary Search
Search
[ 0 ] [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 700 ]
Number 506643548
Number Number 281942902 233667136
Number 701466868 Number 580625685 Number 155778322 …
Number 580625685

Binary Search
Example

[ 0 ]
[ 1 ]
3
6
7
11
32
33
53
[ 2 ]
[ 3 ]
[ 4 ]
[ 5 ]
[ 6 ]

Binary Search
Efficiency of binary search



Binary Search
Efficiency of binary search
# of namesMaximum sequential searches necessaryMaximum binary searches necessary1010410010071,0001,000105,0005,0001310,00010,0001450,00050,00016100,000100,000171,000,0001,000,0002010,000,00010,000,000241,000,000,0001,000,000,00030

The document provides an overview of the quick sort algorithm through diagrams and explanations. It begins by introducing quick sort and stating that it is one of the fastest sorting algorithms because it runs in O(n log n) time and uses less memory than other algorithms like merge sort. It then provides step-by-step examples to demonstrate how quick sort works by picking a pivot element, partitioning the array around the pivot, and recursively sorting the subarrays. The summary concludes by restating that quick sort is an efficient sorting algorithm due to its speed and memory usage.

Quick sortUma mohan

The document discusses the quick sort algorithm through examples. It explains that quick sort works by picking a pivot element and partitioning the array around it such that elements less than the pivot come before and elements greater than or equal to the pivot come after. It then recursively applies this process on the subarrays until the entire array is sorted. The document provides a step-by-step example of applying quick sort to an array of numbers to demonstrate how it works.

Factoring common monomialAjayQuines

This document provides information on factoring polynomials with a common monomial factor. It defines a common monomial factor as a number, variable, or combination that appears in each term. It outlines the steps to factor polynomials with this common factor: find the greatest common factor (GCF), divide the polynomial by the GCF, and express the factorization. Examples are provided to demonstrate this process. Students are then assigned practice problems to factor polynomials using this method and given a deadline to submit their work.

Aprendiendo jugandoPAULA

CS253: Divide & Conquer Sort (2019)Jinho Choi

The document discusses two sorting algorithms: Quicksort and Mergesort. Quicksort works by picking a pivot element and partitioning the array around that pivot, recursively sorting the subarrays. It has average time complexity of O(n log n) but worst case of O(n^2). Mergesort works by dividing the array into halves, recursively sorting the halves, and then merging the sorted halves together. It has time complexity of O(n log n) in all cases. The document also includes Java code for implementing MergeSort and discusses how it works.

Ejercicios limitesrossyherr

Operaciones Con EnterosFernando Salamero

OperationJoseph Nilo

Coordinate Graph1Ruth Pridgeon

This document introduces coordinate graphs and ordered pairs. It defines a coordinate grid as a set of uniformly spaced horizontal and vertical lines used to locate points by their distance from two intersecting lines. The x-axis is the horizontal number line representing the dependent variable, while the y-axis is the vertical number line representing the independent variable. An ordered pair identifies a point's location by its x and y coordinates, with the x value found first by moving horizontally along the x-axis and then the y value found by moving vertically.

1 4coordinate Graphingtaco40

The document discusses coordinate graphing and plotting points on a graph. It explains that coordinate points (x, y) involve first plotting the x value by moving left or right on the x-axis, then plotting the y value by moving up or down on the y-axis. Several examples of coordinate points are given. It also discusses the four quadrants of the coordinate plane and using equations like y=2x+5 to generate coordinate point pairs.

10priya mega

ExponentsRhodaLuis

FractionsD. Andrews

1. The document provides a quick review of fraction concepts including converting between improper fractions and mixed numbers, adding and subtracting fractions with the same and different denominators, and multiplying fractions. 2. Examples are given for changing between improper fractions and mixed numbers, adding and subtracting fractions with the same or different denominators, and multiplying fractions. 3. Keys are provided for checking answers to fraction examples involving conversion between forms, addition, subtraction, and multiplication.

Taller 1 parcial 3katherinecedeo11

This document discusses three exercises involving linear transformations. The exercises ask the reader to determine if given functions define linear transformations and to determine the output of linear transformations given their behavior on sample inputs. The document provides the definitions, inputs, and step-by-step workings to solve each exercise. It concludes that exercises 1 and 3 define linear transformations while exercise 2 does not and determines the output of two other linear transformations.

Math worksheet4Ric Dagdagan

GmatJnana Prabodhini Educational Resource Center

This document provides tips and strategies for solving different types of problems involving numbers, letters, and their arrangements. It discusses approaches for dancing digits and alphabets, number series, ratio and proportion, odd term out, matrices, and alphabet series. Key advice includes looking for patterns of repetition, rotation, differences, and relationships between terms. Mental calculations and trial and error are recommended over complex logic.

Solver<RENZO HOYOS SENMACHE

taller transformaciones linealesemojose107

Reviewjeopardychapter1nglaze10

Hash tableHemant Chetwani

This document discusses hash tables and how they work. Hash tables store records with keys in an array. To insert a record, its key is hashed to a location in the array. If that location is occupied, the next available empty location is used instead. Searching for a record's key involves hashing the key and checking locations until the key is found or an empty spot is reached. When deleting a record, its location must be marked as deleted rather than left empty to avoid interfering with searches.

Grokking regexDavid Stockton

Pamjatka policeVladlenaG

Pengenalan analisis data dan statistikaannatriyana

пресс релиз.приложениеVladlenaG

RSE y WEB 2.0: una aplicación al sector hoteleroAlbano Castillo

La Unión Europea ha anunciado nuevas sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen prohibiciones de viaje y congelamiento de activos para más funcionarios rusos, así como restricciones a las importaciones de productos rusos de acero y tecnología. Los líderes de la UE esperan que estas medidas adicionales aumenten la presión económica sobre Rusia y la disuadan de continuar su guerra contra Ucrania.

Как оплачивать банковской картойirobot-msk

Photoshop dokumentaiVijolė Nikšienė

Fabric StoresWarehouseFabricsInc.com

A5 pensioneram screenVladlenaG

Data Structures_Searching and Sorting.pptxRushaliDeshmukh2

More Related Content

What's hot (13)

Coordinate Graph1Ruth Pridgeon

1 4coordinate Graphingtaco40

10priya mega

ExponentsRhodaLuis

FractionsD. Andrews

Taller 1 parcial 3katherinecedeo11

Math worksheet4Ric Dagdagan

GmatJnana Prabodhini Educational Resource Center

Solver<RENZO HOYOS SENMACHE

taller transformaciones linealesemojose107

Reviewjeopardychapter1nglaze10

Hash tableHemant Chetwani

Grokking regexDavid Stockton

Coordinate Graph1Ruth Pridgeon

1 4coordinate Graphingtaco40

10priya mega

ExponentsRhodaLuis

FractionsD. Andrews

Taller 1 parcial 3katherinecedeo11

Math worksheet4Ric Dagdagan

GmatJnana Prabodhini Educational Resource Center

Solver<RENZO HOYOS SENMACHE

taller transformaciones linealesemojose107

Reviewjeopardychapter1nglaze10

Hash tableHemant Chetwani

Grokking regexDavid Stockton

Viewers also liked (8)

Pamjatka policeVladlenaG

Pengenalan analisis data dan statistikaannatriyana

пресс релиз.приложениеVladlenaG

RSE y WEB 2.0: una aplicación al sector hoteleroAlbano Castillo

Как оплачивать банковской картойirobot-msk

Photoshop dokumentaiVijolė Nikšienė

Fabric StoresWarehouseFabricsInc.com

A5 pensioneram screenVladlenaG

Pamjatka policeVladlenaG

Pengenalan analisis data dan statistikaannatriyana

пресс релиз.приложениеVladlenaG

RSE y WEB 2.0: una aplicación al sector hoteleroAlbano Castillo

Как оплачивать банковской картойirobot-msk

Photoshop dokumentaiVijolė Nikšienė

Fabric StoresWarehouseFabricsInc.com

A5 pensioneram screenVladlenaG

Similar to Quick sort and binary search PDF (11)

Data Structures_Searching and Sorting.pptxRushaliDeshmukh2

DSSchapt13.pptSafia Kanwal

The document presents the selection sort and insertion sort algorithms. It demonstrates how selection sort works by repeatedly finding the smallest element in the unsorted portion of the array and swapping it into the sorted portion. It also shows how insertion sort inserts one element at a time into the sorted portion by shifting larger elements to make room. Both algorithms view the array as having a sorted portion that grows gradually as elements are added from the unsorted portion.

Sorting of linked list data through python.pptraahulraaz8

Sorting AlgorithmsAfaq Mansoor Khan

AA_Sorting.SI.pptSolomonMolla4

The document describes several sorting algorithms: 1) Bubble sort, selection sort, insertion sort, and merge sort are presented through examples of sorting arrays. 2) Quicksort and heapsort are also explained, with quicksort using a pivot element and heapsort building a max-heap structure. 3) For each algorithm, the key steps and operations are outlined, such as comparing and swapping elements in bubble and selection sort, and partitioning in quicksort.

Searching Algorithms with Binary Search and Hashing Concept with Time and Spa...mrhabib10

The document discusses different search algorithms for efficiently finding records in a list given a key, including serial search, binary search, and hash tables. Serial search has O(n) worst-case time complexity, while binary search of a sorted list has O(log n) worst-case time complexity. Hash tables can provide constant time O(1) search by mapping keys to array indices via a hash function, but collisions require probing to find empty slots.

Searching.pptrasheed747195

The document discusses different search algorithms for efficiently finding a record with a particular key in a list of records. It describes serial search, which has O(n) worst-case and average-case time complexity, and binary search, which has O(log n) worst-case and average-case time complexity for sorted lists. The document then introduces hash tables as a way to search in O(1) time by using a hash function to map keys to array indices, though collisions require searching further in the array.

Searching inear Search And Binary AgorithmsPuneetVashistha1

Counting SortFaiza Saleem

Searching.pptp83629918

The document discusses different algorithms for searching through a list of records to find a record with a particular key: 1) Serial search simply iterates through each record sequentially until the target key is found, with average case time complexity of O(n). 2) Binary search can be used if the records are sorted, performing a divide and conquer search with average and worst case time complexity of O(logn). 3) Hash tables map keys to array indices via a hash function, allowing direct access to records in O(1) time on average by resolving collisions through open addressing. This provides the most efficient search algorithm discussed.

Mike lawell executionplansformeremortals_2015mlawell

Data Structures_Searching and Sorting.pptxRushaliDeshmukh2

DSSchapt13.pptSafia Kanwal

Sorting of linked list data through python.pptraahulraaz8

Sorting AlgorithmsAfaq Mansoor Khan

AA_Sorting.SI.pptSolomonMolla4

Searching Algorithms with Binary Search and Hashing Concept with Time and Spa...mrhabib10

Searching.pptrasheed747195

Searching inear Search And Binary AgorithmsPuneetVashistha1

Counting SortFaiza Saleem

Searching.pptp83629918

Mike lawell executionplansformeremortals_2015mlawell

Recently uploaded (20)

Better Builder Magazine, Issue 53 / Spring 2025Better Builder Magazine

Kevin Corke Spouse Revealed A Deep Dive Into His Private Life.pdfMedicoz Clinic

Kevin Corke, a respected American journalist known for his work with Fox News, has always kept his personal life away from the spotlight. Despite his public presence, details about his spouse remain mostly private. Fans have long speculated about his marital status, but Corke chooses to maintain a clear boundary between his professional and personal life. While he occasionally shares glimpses of his family on social media, he has not publicly disclosed his wife’s identity. This deep dive into his private life reveals a man who values discretion, keeping his loved ones shielded from media attention.

Prediction of Unconfined Compressive Strength of Expansive Soil Amended with ...Journal of Soft Computing in Civil Engineering

Expansive soils (ES) have a long history of being difficult to work with in geotechnical engineering. Numerous studies have examined how bagasse ash (BA) and lime affect the unconfined compressive strength (UCS) of ES. Due to the complexities of this composite material, determining the UCS of stabilized ES using traditional methods such as empirical approaches and experimental methods is challenging. The use of artificial neural networks (ANN) for forecasting the UCS of stabilized soil has, however, been the subject of a few studies. This paper presents the results of using rigorous modelling techniques like ANN and multi-variable regression model (MVR) to examine the UCS of BA and a blend of BA-lime (BA + lime) stabilized ES. Laboratory tests were conducted for all dosages of BA and BA-lime admixed ES. 79 samples of data were gathered with various combinations of the experimental variables prepared and used in the construction of ANN and MVR models. The input variables for two models are seven parameters: BA percentage, lime percentage, liquid limit (LL), plastic limit (PL), shrinkage limit (SL), maximum dry density (MDD), and optimum moisture content (OMC), with the output variable being 28-day UCS. The ANN model prediction performance was compared to that of the MVR model. The models were evaluated and contrasted on the training dataset (70% data) and the testing dataset (30% residual data) using the coefficient of determination (R2), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE) criteria. The findings indicate that the ANN model can predict the UCS of stabilized ES with high accuracy. The relevance of various input factors was estimated via sensitivity analysis utilizing various methodologies. For both the training and testing data sets, the proposed model has an elevated R2 of 0.9999. It has a minimal MAE and RMSE value of 0.0042 and 0.0217 for training data and 0.0038 and 0.0104 for testing data. As a result, the generated model excels the MVR model in terms of UCS prediction.

Filters for Electromagnetic Compatibility ApplicationsMathias Magdowski

In this lecture, I explain the fundamentals of electromagnetic compatibility (EMC), the basic coupling model and coupling paths via cables, electric fields, magnetic fields and wave fields. We also look at electric vehicles as an example of systems with many conducted EMC problems due to power electronic devices such as rectifiers and inverters with non-linear components such as diodes and fast switching components such as MOSFETs or IGBTs. After a brief review of circuit analysis fundamentals and an experimental investigation of the frequency-dependent impedance of resistors, capacitors and inductors, we look at a simple low-pass filter. The input impedance from both sides as well as the transfer function are measured.

Department of Environment (DOE) Mix Design with Fly Ash.MdManikurRahman

Concrete Mix Design with Fly Ash by DOE Method. The Department of Environmental (DOE) approach to fly ash-based concrete mix design is covered in this study. The Department of Environment (DOE) method of mix design is a British method originally developed in the UK in the 1970s. It is widely used for concrete mix design, including mixes that incorporate supplementary cementitious materials (SCMs) such as fly ash. When using fly ash in concrete, the DOE method can be adapted to account for its properties and effects on workability, strength, and durability. Here's a step-by-step overview of how the DOE method is applied with fly ash.

Forensic Science – Digital Forensics – Digital Evidence – The Digital Forensi...ManiMaran230751

BEC602- Module 3-2-Notes.pdf.Vlsi design and testing notesVarshithaP6

All about the Snail Power Catalog Product 2025kstgroupvn

ENERGY STORING DEVICES-Primary Battery.pdfTAMILISAI R

world subdivision.pdf...................bmmederos12

DE-UNIT-V MEMORY DEVICES AND DIGITAL INTEGRATED CIRCUITSSridhar191373

Basic memory structure – ROM -PROM – EPROM – EEPROM –EAPROM, RAM – Static and dynamic RAM - Programmable Logic Devices – Programmable Logic Array (PLA) - Programmable Array Logic (PAL) – Field Programmable Gate Arrays (FPGA) – Implementation of combinational logic circuits using PLA, PAL. Digital integrated circuits: Logic levels, propagation delay, power dissipation, fan-out and fan-in, noise margin, logic families and their characteristics – RTL, TTL, ECL and CMOS.

MODULE 4 BUILDING PLANNING AND DESIGN SY BTECH HVAC SYSTEM IN BUILDINGDr. BASWESHWAR JIRWANKAR

ISO 4020-6.1- Filter Cleanliness Test Rig Catalogue.pdf FILTRATION ENGINEERING & CUNSULTANT

ISO 4020-6.1 – Filter Cleanliness Test Rig: Precision Testing for Fuel Filter Integrity Explore the design, functionality, and standards compliance of our advanced Filter Cleanliness Test Rig developed according to ISO 4020-6.1. This rig is engineered to evaluate fuel filter cleanliness levels with high accuracy and repeatability—critical for ensuring the performance and durability of fuel systems. 🔬 Inside This Presentation: Overview of ISO 4020-6.1 testing protocols Rig components and schematic layout Test methodology and data acquisition Applications in automotive and industrial filtration Key benefits: accuracy, reliability, compliance Perfect for R&D engineers, quality assurance teams, and lab technicians focused on filtration performance and standard compliance. 🛠️ Ensure Filter Cleanliness — Validate with Confidence.

BEC602-Module-3-1_Notes.pdf. Vlsi design and testing notesVarshithaP6

Video Games and Artificial-Realities.pptxHadiBadri1

DIY Gesture Control ESP32 LiteWing Drone using PythonCircuitDigest

Build a gesture-controlled LiteWing drone using ESP32 and MPU6050. This presentation explains components, circuit diagram, assembly steps, and working process. Read more : https://circuitdigest.com/microcontroller-projects/diy-gesture-controlled-drone-using-esp32-and-python-with-litewing Ideal for DIY drone projects, robotics enthusiasts, and embedded systems learners. Explore how to create a low-cost, ESP32 drone with real-time wireless gesture control.

[HIFLUX] Lok Fitting&Valve Catalog 2025 (Eng)하이플럭스 / HIFLUX Co., Ltd.

Application Security and Secure Software Development LifecycleDrKavithaP1

MODULE 5 BUILDING PLANNING AND DESIGN SY BTECH ACOUSTICS SYSTEM IN BUILDINGDr. BASWESHWAR JIRWANKAR

UNIT-4-PPT UNIT COMMITMENT AND ECONOMIC DISPATCHSridhar191373

Statement of unit commitment problem-constraints: spinning reserve, thermal unit constraints, hydro constraints, fuel constraints and other constraints. Solution methods: priority list methods, forward dynamic programming approach. Numerical problems only in priority list method using full load average production cost. Statement of economic dispatch problem-cost of generation-incremental cost curve –co-ordination equations without loss and with loss- solution by direct method and lamda iteration method (No derivation of loss coefficients)

Better Builder Magazine, Issue 53 / Spring 2025Better Builder Magazine

Kevin Corke Spouse Revealed A Deep Dive Into His Private Life.pdfMedicoz Clinic

Prediction of Unconfined Compressive Strength of Expansive Soil Amended with ...Journal of Soft Computing in Civil Engineering

Filters for Electromagnetic Compatibility ApplicationsMathias Magdowski

Department of Environment (DOE) Mix Design with Fly Ash.MdManikurRahman

Forensic Science – Digital Forensics – Digital Evidence – The Digital Forensi...ManiMaran230751

BEC602- Module 3-2-Notes.pdf.Vlsi design and testing notesVarshithaP6

All about the Snail Power Catalog Product 2025kstgroupvn

ENERGY STORING DEVICES-Primary Battery.pdfTAMILISAI R

world subdivision.pdf...................bmmederos12

DE-UNIT-V MEMORY DEVICES AND DIGITAL INTEGRATED CIRCUITSSridhar191373

MODULE 4 BUILDING PLANNING AND DESIGN SY BTECH HVAC SYSTEM IN BUILDINGDr. BASWESHWAR JIRWANKAR

ISO 4020-6.1- Filter Cleanliness Test Rig Catalogue.pdf FILTRATION ENGINEERING & CUNSULTANT

BEC602-Module-3-1_Notes.pdf. Vlsi design and testing notesVarshithaP6

Video Games and Artificial-Realities.pptxHadiBadri1

DIY Gesture Control ESP32 LiteWing Drone using PythonCircuitDigest

[HIFLUX] Lok Fitting&Valve Catalog 2025 (Eng)하이플럭스 / HIFLUX Co., Ltd.

Application Security and Secure Software Development LifecycleDrKavithaP1

MODULE 5 BUILDING PLANNING AND DESIGN SY BTECH ACOUSTICS SYSTEM IN BUILDINGDr. BASWESHWAR JIRWANKAR

UNIT-4-PPT UNIT COMMITMENT AND ECONOMIC DISPATCHSridhar191373

Quick sort and binary search PDF

1. INFORMATION AND TECHNOLOGY Branch Code : 016 Data Structures Subject code : 2130702 Presentation on Quick Sort and Binary Search

2. Data Structure Quick Sort and Binary Search

3. INDEX Quick Sort Binary Search Summary References

4. Quick Sort Graphical Representation

5. Quick Sort Quicksort Concept (<pivot) LEFT group (> pivot) RIGHT group apply Quicksort to the subgroups

6. Quick Sort Quicksort Start Unsorted Array

7. Quick Sort Quicksort Step 1 26 33 35 29 19 pivot 12 22

8. Quick Sort Quicksort Step 2 26 33 35 29 19 left pivot 12 22 right

9. Quick Sort Quicksort Step 3 26 33 35 29 19 left pivot 12 22 right

10. Quick Sort Quicksort Step 4 26 33 35 29 19 left pivot 12 22 right 26 22 35 29 19 left pivot 12 33 right

11. Quick Sort Quicksort Step 5 left 26 22 35 29 19 left pivot 12 33 right

12. Quick Sort Quicksort Step 6 26 22 35 29 19 left 12 33 right 26 22 12 29 19 pivot 35 33 left right pivot

13. Quick Sort Quicksort Step 7 26 22 12 29 19 left pivot 35 33 right 26 22 12 19 29 left pivot 35 33 right

14. Quick Sort Quicksort Step 8 26 22 12 19 29 left pivot 35 33 right 26 19 22 12 29 pivot 35 LEFT RIGHT

15. Quick Sort Quicksort Step 9 pivot 26 19 22 12 29 previous pivot 35 33 Quicksort Quicksort pivot 12 19 22 29 33 35 26 26 12 19 22 29 33 35

16. Quick Sort Quicksort Efficiency

17. Quick Sort       Best Case

18. Quick Sort    Worst case

19. Quick Sort      Worst case for quicksort

20. Binary Search Problem: Search    

21. Binary Search Search [ 0 ] [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 700 ] Number 506643548 Number Number 281942902 233667136 Number 701466868 Number 580625685 Number 155778322 … Number 580625685

22. Binary Search Binary Search   

23. Binary Search Binary Search    

24. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

25. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

26. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

27. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

28. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

29. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

30. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

31. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

32. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

33. Binary Search Example  [ 0 ] [ 1 ] 3 6 7 11 32 33 53 [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ]

34. Binary Search Efficiency of binary search  

35. Binary Search Efficiency of binary search # of namesMaximum sequential searches necessaryMaximum binary searches necessary1010410010071,0001,000105,0005,0001310,00010,0001450,00050,00016100,000100,000171,000,0001,000,0002010,000,00010,000,000241,000,000,0001,000,000,00030

36. Binary Search

37. References   

Quick sort and binary search PDF

Recommended

More Related Content

What's hot (13)

Viewers also liked (8)

Similar to Quick sort and binary search PDF (11)

Recently uploaded (20)

Quick sort and binary search PDF