In computer science, string-searching algorithms, sometimes called string-matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet (finite set) Σ. Σ may be a human language alphabet, for example, the letters A through Z and other applications may use a binary alphabet (Σ = {0,1}) or a DNA alphabet (Σ = {A,C,G,T}) in bioinformatics. In practice, the method of feasible string-search algorithm may be affected by the string encoding. In particular, if a variable-width encoding is in use, then it may be slower to find the Nth character, perhaps requiring time proportional to N. This may significantly slow some search algorithms. One of many possible solutions is to search for the sequence of code units instead, but doing so may produce false matches unless the encoding is specifically designed to avoid it. (Wikipedia).
C Programming: Sorting and searching arrays of structs
In this session we learn how to sort an array of structs, then search it using the built-in binary search (bsearch) function.
From playlist C Programming
The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to use stringr to do pattern matching: detecting whether certain substrings or string patterns (regular expressions) exist in text.
From playlist stringr
The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to sort strings alphabetically using the stringr package. stringr Series Code Notebook: https://www.kaggle.com/hamelg/stringr-tuto
From playlist stringr
More videos like this online at http://www.theurbanpenguin.com We do quite a lot in this video so if you are new to Java you will get a lot out of this. First we revisit StringBuilder and the reverse method. Then looking at how we can assign non-string values to strings with concatenation
From playlist Java
Programming Ruby 05 -- String Methods
A basic video covering Ruby strings methods that you'll be using a lot. For more info: http://ruby-doc.org/core-2.1.3/String.html
From playlist Programming: Ruby
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Experimenting and seeing what we can do with strings
From playlist Computer Science
Python Programming 14. Linear Search
This is the 14th in a course of computer science video lessons introducing programming with Python. This lesson covers a well-known algorithm called the linear search. A linear search involves scanning a list, with a loop, and testing each item in turn to see if the list contains the tar
From playlist Python Programming Step by Step
Visual Basic.NET Programming. Beginner Lesson 19. Linear Search
This is the nineteenth in a series of computer science video tutorials for beginners, about programming with Visual Basic.NET (VB.NET) in Visual Studio. In this lesson you will learn how to code a linear search. A linear search is one of many well-known searching and sorting algorithms tha
From playlist Programming with VB.NET. Beginner's Course
CS50 2021 in HDR - Lecture 3 - Algorithms
This is CS50, Harvard University's Introduction to the intellectual enterprises of computer science and the art of programming. Enroll for free at https://cs50.edx.org/. Slides, source code, and more at https://cs50.harvard.edu/x. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2
From playlist CS50 Lectures 2021 (HDR)
CS50 2021 - Lecture 3 - Algorithms (SDR)
TABLE OF CONTENTS 00:00:00 - Introduction 00:01:17 - Algorithms 00:05:34 - Searching 00:08:17 - Big O Notation 00:12:51 - Common Running Times 00:13:18 - Asymptotic Notation 00:16:50 - Searching Lockers 00:20:46 - Linear Search 00:29:45 - Binary Search 00:37:11 - Sorting and Searching vs.
From playlist CS50 Lectures 2021 (SDR)
CS50 2020 - Lecture 3 - Algorithms
TABLE OF CONTENTS 00:00:00 - Introduction 00:00:49 - ddb 00:02:53 - Arrays 00:05:08 - Searching 00:06:40 - Running Times 00:13:02 - Linear Search 00:22:57 - Binary Search 00:31:44 - numbers 00:37:58 - names 00:41:00 - strcmp 00:51:21 - structs 00:55:35 - phonebook 01:14:41 - Selection Sor
From playlist CS50 Lectures 2020
To learn more about Brilliant, go to https://brilliant.org/CodingTrain and sign up for free. The first 200 people that go to that link will get 20% off the annual Premium subscription. Discord: https://discord.gg/hPuGy2g 💻 https://thecodingtrain.com/CodingChallenges/ 💻 https://editor.p5j
From playlist Live Stream Archive
C Programming: Cracking passwords faster by sorting and searching
In previous sessions we have increased the speed of our password cracker by pre-hashing the passwords. However, we are still doing a linear search on the array. This week we will learn how to search an array more quickly by sorting it, then using binary search.
From playlist C Programming
Lecture 7 - Suffix Arrays and Assembly
This is Lecture 7 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture7.pdf More infor
From playlist CSE549 - Computational Biology - 2010 SBU
CS50 2022 - Lecture 3 - Algorithms
*** This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. *** TABLE OF CONTENTS 00:00:00 - Introduction 00:01:12 - Algorithms 00:06:17 - Linear Search 00:11:52 - Binary Search 00:18:35 - Running Time 00:28:48 - s
From playlist CS50 Lectures 2022
Lecture 6 - Strings - Problem Discussion
This is Lecture 6 of the COMP300E (Programming Challenges) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2009. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/programmingchallenges/
From playlist COMP300E - Programming Challenges - 2009 HKUST
CS50 2019 - Lecture 3 - Algorithms
TABLE OF CONTENTS 00:00:00 - Introduction 00:01:22 - Weeks 2 Recap 00:02:46 - Algorithms Demo 00:04:05 - Algorithms Demo (Linear Search) 00:06:14 - Algorithms Demo (Binary Search) 00:08:34 - Linear Search 00:09:44 - Binary Search 00:11:02 - Efficiency 00:14:03 - Big O and Omega Notation 0
From playlist CS50 Lectures 2019
Discrete Math - 3.1.2 Searching Algorithms
Linear search and binary search algorithms. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
Lecture 6 - Suffix Trees in Action
This is Lecture 6 of the CSE549 (Computational Biology) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 2010. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/computationalbiology/pdf/lecture6.pdf More infor
From playlist CSE549 - Computational Biology - 2010 SBU