1. Linear search is a method for finding a particular value in a list that checks each element in sequence until the desired element is found or the list is exhausted.
2. The best case for linear search is O(1) when the target is found at the first location. The worst case is O(n) when the target is at the end or not present.
3. The average time complexity of linear search is O(n) as the target has an equal chance of being in any position, so on average half the list must be searched.
linear search and binary search, Class lecture of Data Structure and Algorithms and Python.
Stack, Queue, Tree, Python, Python Code, Computer Science, Data, Data Analysis, Machine Learning, Artificial Intellegence, Deep Learning, Programming, Information Technology, Psuedocide, Tree, pseudocode, Binary Tree, Binary Search Tree, implementation, Binary search, linear search, Binary search operation, real-life example of binary search, linear search operation, real-life example of linear search, example bubble sort, sorting, insertion sort example, stack implementation, queue implementation, binary tree implementation, priority queue, binary heap, binary heap implementation, object-oriented programming, def, in BST, Binary search tree, Red-Black tree, Splay Tree, Problem-solving using Binary tree, problem-solving using BST, inorder, preorder, postorder
linear search and binary search, Class lecture of Data Structure and Algorithms and Python.
Stack, Queue, Tree, Python, Python Code, Computer Science, Data, Data Analysis, Machine Learning, Artificial Intellegence, Deep Learning, Programming, Information Technology, Psuedocide, Tree, pseudocode, Binary Tree, Binary Search Tree, implementation, Binary search, linear search, Binary search operation, real-life example of binary search, linear search operation, real-life example of linear search, example bubble sort, sorting, insertion sort example, stack implementation, queue implementation, binary tree implementation, priority queue, binary heap, binary heap implementation, object-oriented programming, def, in BST, Binary search tree, Red-Black tree, Splay Tree, Problem-solving using Binary tree, problem-solving using BST, inorder, preorder, postorder
It is a presentation on some Searching and Sorting Techniques for Computer Science.
It consists of the following techniques:
Sequential Search
Binary Search
Selection Sort
Bubble Sort
Insertion Sort
PPT On Sorting And Searching Concepts In Data Structure | In Programming Lang...Umesh Kumar
PPT On Sorting And Searching Concepts In Data Structure. In Many Programming Concepts We Use This Tricks In Algorithms....So Wacth,Learn And Enjoy Study.....Thanks
presentation about bubble sort
presented by: Ahmed al-butty
Arab Open University - Riyadh , Saudi Arabia
the content
Introduction to Sorting Algorithms
What is Bubble Sort
Bubble Sort Algorithm
Example of Bubble Sort
Complexity Analysis
When to Choose Bubble Sort
It is a presentation on some Searching and Sorting Techniques for Computer Science.
It consists of the following techniques:
Sequential Search
Binary Search
Selection Sort
Bubble Sort
Insertion Sort
PPT On Sorting And Searching Concepts In Data Structure | In Programming Lang...Umesh Kumar
PPT On Sorting And Searching Concepts In Data Structure. In Many Programming Concepts We Use This Tricks In Algorithms....So Wacth,Learn And Enjoy Study.....Thanks
presentation about bubble sort
presented by: Ahmed al-butty
Arab Open University - Riyadh , Saudi Arabia
the content
Introduction to Sorting Algorithms
What is Bubble Sort
Bubble Sort Algorithm
Example of Bubble Sort
Complexity Analysis
When to Choose Bubble Sort
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2. Data Search − Consider an inventory of 1 million(106) items of a
store. If the application is to search an item, it has to
search an item in 1 million(106) items every time slowing
down the search. As data grows, search will become slower.
This is why searching algorithms are important
Need for Searching Algorithms
3. 1. Linear search or sequential search is a method for finding a
particular value in a list that checks each element in sequence
until the desired element is found or the list is exhausted.
2. The list need not be ordered.
3. It is very simple and works as follows: We keep on comparing
each element with the element to search until the desired
element is found or list ends.
Linear search
4. This is the array we are going to perform linear search
Let’s search for the number 3. We start at the beginning
and check the first element in the array.
Example
5. Is the first value 3? No, not it. Is it the next
element?
Is the second value 3?
Not there either. The next element?
6. Is the third value 3?
Not there either. Next?
Is the fourth value 3? Yes!
We found it!!! Now you understand the idea of
linear searching; we go through each element,
in order, until we find the correct value.
7. Linear search - Pseudocode:
# Input: Array D, integer key
# Output: first index of key in D, or -1 if not found
For i = 0 to last index of D:
if D[i] equals key:
return i
return -1
8. Time Complexity
In the linear search problem, the best case occurs when Target is
present at the first location. The number of operations in the
best case is constant (not dependent on n). So time complexity in
the best case would be O(1)
Best case Analysis
9. Time Complexity
For Linear Search, the worst case happens when the element to be
searched is not present in the array or it is present at the end of
the array.
In this scenario the search() compares it with all the elements of
array one by one. Therefore, the worst case time complexity of
linear search would be O(n).
Worst case Analysis
10. Time Complexity
The key is equally likely to be in any position in the array
If the key is in the first array position: 1 comparison
If the key is in the second array position: 2 comparisons ...
If the key is in the ith postion: i comparisons ...
So average all these possibilities:
(1+2+3+...+n)/n = [n(n+1)/2] /n = (n+1)/2 comparisons.
The average number of comparisons is (n+1)/2 = O(n).
Average case Analysis
11. Time Complexity
In average case analysis, we take all possible inputs and calculate
computing time for all of the inputs. Sum all the calculated values and
divide the sum by total number of inputs.
We must know distribution of cases. For the linear search problem, let us
assume that all cases are uniformly distributed (including the case of
target not being present in array).
Average case Analysis
12. Space Complexity
This type of search requires only a single unit of memory to store the
element being searched. This is not relevant to the size of the input
Array.
Hence, the Space Complexity of Linear Search is O(1).
13. 1. What is the best case for linear search?
a) O(nlogn)
b) O(logn)
c) O(n)
d) O(1)
2. What is the worst case for linear search?
a) O(nlogn)
b) O(logn)
c) O(n)
d) O(1)
QUIZ
1. D
2. C
14. 3. What is the best case and worst case complexity of ordered linear
search?
a) O(nlogn), O(logn)
b) O(logn), O(nlogn)
c) O(n), O(1)
d) O(1), O(n)
4. Which of the following is a disadvantage of linear search?
a) Requires more space
b) Greater time complexities compared to other searching algorithms
c) Not easy to understand
d) Not easy to implement
3. D
4. B
15. 5. The array is as follows: 1,2,3,6,8,10. At what time the element 6
is found? (By using linear search algorithm)
a) 4th call
b) 3rd call
c) 6th call
d) 5th call
5. A