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
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
Binary Search is a searching algorithm used in a sorted array by repeatedly dividing the search interval in half. The idea of binary search is to use the information that the array is sorted and reduce the time complexity to O(Log n).
this is the very imporantant in data struvture.Searching is a fundamental operation in data structures and plays a crucial role in various computer science and programming tasks. It involves looking for a specific element, value, or key within a given data structure to determine whether it exists or to retrieve it if found. The efficiency and effectiveness of searching algorithms can vary depending on the data structure being used and the specific requirements of the task. Here are some common data structures and descriptions of how searching works in each of them:
Searching Algorithms:
Linear Search: A basic algorithm that sequentially checks each element in a data structure until a match is found.
Binary Search: A more efficient algorithm for sorted arrays or lists that repeatedly divides the search interval in half.
Hashing: Using a hash function to map keys to specific locations for quick retrieval (e.g., in hash tables).
Data Structures for Searching:
Arrays: Basic data structure often used in linear searches.
Lists: Linked lists or dynamic arrays can be used for searching.
Trees:
Binary Search Tree (BST): A binary tree where the left subtree contains values less than the root, and the right subtree contains values greater than the root.
Balanced Trees: Trees like AVL and Red-Black trees maintain balance for efficient searching.
Heaps: Used for priority queues and can support efficient operations for finding the minimum or maximum.
Hash Tables: Utilizes hash functions for quick lookups.
Search Variations:
Searching for Minimum/Maximum: Algorithms designed to find the minimum or maximum element in a data structure efficiently.
Substring Search: Searching for a specific substring within a larger text or string.
Pattern Matching: Searching for a specific pattern or sequence of elements within a data structure.
Advanced Search Techniques:
Trie: A tree-like data structure used for efficient string searching and storage.
Bloom Filter: A probabilistic data structure for quickly checking whether an element is a member of a set.
K-Dimensional Trees: Used for multidimensional data, like spatial searching in geographic information systems.
Optimizations and Indexing:
Indexing: Techniques to create indexes or data structures that accelerate searching in large datasets.
Skip Lists: A data structure that uses multiple levels of linked lists to speed up searches.
Parallel and Distributed Searching:
Parallel Search Algorithms: Techniques for searching in parallel processing environments.
Distributed Search: Strategies for searching in distributed systems or databases.
Search Complexity and Analysis:
Time Complexity: Analyzing the efficiency of search algorithms in terms of the number of operations required.
Space Complexity: Analyzing the memory usage of search data structures.
Searching in Specialized Applications:
Graph Search: Techniques for traversing and searching in graphs.
Geospatial Search: Searching .
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
3. The Binary Search Algorithm finds an index of a particular element in the list. It is
one of the fastest and most popular algorithms.
We can summarize the complete working of the Binary Search Algorithm in the
following steps:
1. In the sorted array, find the middle element.
2. Compare x with the middle element.
3. If x equals the middle element, then the middle index is returned. Otherwise, the x will
be compared with the middle item.
4. Else if x is greater than the middle item, then it will be compared to the right-side
elements of the index.
5. Else if x is less than the mid element, then x will be compared to only the left side
elements of the index.
6. We will choose either algorithm to run for the right half of the list or the left half of the
list of items
4. The Recursive method follows the divide and conquer approach. In Recursive
Binary Search, one function calls itself repeatedly until an element is found in the
list.
Output:
5. To learn Iterative Method of Binary Search, visit
the following link.
https://www.codeleaks.io/binary-search-python/
