This document discusses Shellsort, an algorithm developed by Donald Shell in 1959 that improves on insertion sort. Shellsort works by comparing elements that are farther apart within an array rather than adjacent elements. It makes multiple passes through a list, sorting subsets of elements using an increment sequence that decreases until the final pass sorts adjacent elements using insertion sort. Shellsort breaks the quadratic time barrier of insertion sort and is faster for medium sized lists but is outperformed by other algorithms like merge, heap, and quick sort for large lists. Examples are provided to illustrate how Shellsort works by sorting a sample list.
Describes basic understanding of priority queues, their applications, methods, implementation with sorted/unsorted list, sorting applications with insertion sort and selection sort with their running times.
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
Students will be able to learn the various kinds of searching, sorting and hashing techniques to handle the data structures efficiently. This PPT contains the following topics: linear search, binary search, insertion sort, selection sort, bubble sort, shell sort, quick sort merge sort, bucket sort, m-way merge sort, polyphase merge sort, hashing techniques like separate chaining, closed chaining or open addressing, linear probing, quadratic probing, double hashing, rehashing and extendible hashing.
Content of slide
Tree
Binary tree Implementation
Binary Search Tree
BST Operations
Traversal
Insertion
Deletion
Types of BST
Complexity in BST
Applications of BST
Describes basic understanding of priority queues, their applications, methods, implementation with sorted/unsorted list, sorting applications with insertion sort and selection sort with their running times.
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
Students will be able to learn the various kinds of searching, sorting and hashing techniques to handle the data structures efficiently. This PPT contains the following topics: linear search, binary search, insertion sort, selection sort, bubble sort, shell sort, quick sort merge sort, bucket sort, m-way merge sort, polyphase merge sort, hashing techniques like separate chaining, closed chaining or open addressing, linear probing, quadratic probing, double hashing, rehashing and extendible hashing.
Content of slide
Tree
Binary tree Implementation
Binary Search Tree
BST Operations
Traversal
Insertion
Deletion
Types of BST
Complexity in BST
Applications of BST
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
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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.
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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.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. Shellsort
Founded by Donald Shell and named the
sorting algorithm after himself in 1959.
1st
algorithm to break the quadratic time barrier
but few years later, a sub quadratic time bound
was proven
Shellsort works by comparing elements that
are distant rather than adjacent elements in an
array or list where adjacent elements are
compared.
3. Shellsort
Shellsort uses a sequence h1, h2, …, ht
called the increment sequence. Any
increment sequence is fine as long as h1
= 1 and some other choices are better
than others.
4. Shellsort
Shellsort makes multiple passes through
a list and sorts a number of equally sized
sets using the insertion sort.
6. Shellsort
Shellsort is also known as diminishing
increment sort..
The distance between comparisons
decreases as the sorting algorithm runs
until the last phase in which adjacent
elements are compared
7. Shellsort
After each phase and some increment
hk, for every i, we have a[ i ] ≤ a [ i + hk ]
all elements spaced hk apart are sorted.
The file is said to be hk – sorted.
8. Empirical Analysis of Shellsort
Source: http://linux.wku.edu/~lamonml/algor/sort/shell.html
9. Empirical Analysis of Shellsort
(Advantage)
Advantage of Shellsort is that its only
efficient for medium size lists. For bigger
lists, the algorithm is not the best choice.
Fastest of all O(N^2) sorting algorithms.
5 times faster than the bubble sort and a
little over twice as fast as the insertion
sort, its closest competitor.
10. Empirical Analysis of Shellsort
(Disadvantage)
Disadvantage of Shellsort is that it is a complex
algorithm and its not nearly as efficient as the
merge,, heap,, and quick sorts.
The shell sort is still significantly slower than
the merge, heap, and quick sorts, but its
relatively simple algorithm makes it a good
choice for sorting lists of less than 5000 items
unless speed important. It's also an excellent
choice for repetitive sorting of smaller lists.
11. Shellsort Best Case
Best Case: The best case in the shell
sort is when the array is already sorted in
the right order. The number of
comparisons is less.
12. Shellsort Worst Case
The running time of Shellsort depends on
the choice of increment sequence.
The problem with Shell’s increments is
that pairs of increments are not
necessarily relatively prime and smaller
increments can have little effect.
13. Shellsort Examples
Sort: 18 32 12 5 38 33 16 2
8 Numbers to be sorted, Shell’s increment will be floor(n/2)
* floor(8/2) floor(4) = 4
increment 4: 1 2 3 4
18 32 12 5 38 33 16 2
(visualize underlining)
Step 1) Only look at 18 and 38 and sort in order ;
18 and 38 stays at its current position because they are in order.
Step 2) Only look at 32 and 33 and sort in order ;
32 and 33 stays at its current position because they are in order.
Step 3) Only look at 12 and 16 and sort in order ;
12 and 16 stays at its current position because they are in order.
Step 4) Only look at 5 and 2 and sort in order ;
2 and 5 need to be switched to be in order.
14. Shellsort Examples (con’t)
Sort: 18 32 12 5 38 33 16 2
Resulting numbers after increment 4 pass:
18 32 12 2 38 33 16 5
* floor(4/2) floor(2) = 2
increment 2: 1 2
18 32 12 2 38 33 16 5
Step 1) Look at 18, 12, 38, 16 and sort them in their appropriate location:
12 38 16 2 18 33 38 5
Step 2) Look at 32, 2, 33, 5 and sort them in their appropriate location:
12 2 16 5 18 32 38 33
15. Shellsort Examples (con’t)
Sort: 18 32 12 5 38 33 16 2
* floor(2/2) floor(1) = 1
increment 1: 1
12 2 16 5 18 32 38 33
2 5 12 16 18 32 33 38
The last increment or phase of Shellsort is basically an Insertion
Sort algorithm.