Results 271 to 280 of about 185,887 (355)
A comprehensive benchmark of tools for efficient genomic interval querying. [PDF]
Brief BioinformSchäfer RA, Yang R.
europepmc +1 more source
Cognitive Profile of ADHD in Older Adults: A Systematic Review. [PDF]
J Atten DisordPardo-Palenzuela N +2 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Introduction to Computational Thinking, 2021
In this chapter, we will explore two fundamental problems that are the foundations of many other algorithms: sorting sequences and searching for an element in them. These are central problems used as building blocks for a variety of other algorithms, and Python already has built-in functionality for solving them.
T. Mailund
semanticscholar +3 more sources
In this chapter, we will explore two fundamental problems that are the foundations of many other algorithms: sorting sequences and searching for an element in them. These are central problems used as building blocks for a variety of other algorithms, and Python already has built-in functionality for solving them.
T. Mailund
semanticscholar +3 more sources
Computer Programming in C for Beginners, 2020
As its title suggests, this chapter also has two parts. The first provides the reader with an introduction to searching – a very important aspect of computing. It introduces the sequential search and describes how to do it in an array as well as in a linked list.
Avelino J. Gonzalez
openaire +2 more sources
As its title suggests, this chapter also has two parts. The first provides the reader with an introduction to searching – a very important aspect of computing. It introduces the sequential search and describes how to do it in an array as well as in a linked list.
Avelino J. Gonzalez
openaire +2 more sources
2012
This chapter explores two very practical problems: searching and sorting. We consider Linear Search and (two versions of) Binary Search. Binary trees are used to describe the search process. Binary search is much, much better but requires sorted input. We give examples of several sorting strategies: selection sorts, exchange sorts, and partition sorts.
Tom Jenkyns, Ben Stephenson
openaire +2 more sources
This chapter explores two very practical problems: searching and sorting. We consider Linear Search and (two versions of) Binary Search. Binary trees are used to describe the search process. Binary search is much, much better but requires sorted input. We give examples of several sorting strategies: selection sorts, exchange sorts, and partition sorts.
Tom Jenkyns, Ben Stephenson
openaire +2 more sources
Data Structure and Algorithms Using C++, 2019
Searching data and sorting through data are fundamental algorithms. Searching refers to iterating over the data structure’s elements to retrieve some data. Sorting refers to putting the data structure’s elements in order. The searching and sorting algorithms are different for every data structure.
Sammie Bae
openaire +2 more sources
Searching data and sorting through data are fundamental algorithms. Searching refers to iterating over the data structure’s elements to retrieve some data. Sorting refers to putting the data structure’s elements in order. The searching and sorting algorithms are different for every data structure.
Sammie Bae
openaire +2 more sources
2017
The current English meaning of the terms "searching" and "sorting" also holds good in computer science. Sometimes, this is not the case. For example, the current English meaning of the terms "root," "garbage or "tree" is very different from their meaning in computer science.
S. Chavan
openaire +2 more sources
The current English meaning of the terms "searching" and "sorting" also holds good in computer science. Sometimes, this is not the case. For example, the current English meaning of the terms "root," "garbage or "tree" is very different from their meaning in computer science.
S. Chavan
openaire +2 more sources
Historical searching and sorting
International Symposium on Algorithms, 1991A ‘move to the front’ dictionary data structure that supports O(log t) time access to objects last accessed t operations ago is described. This ‘Historical Search Tree’ is then used in two adaptive sorting algorithms. The first algorithm, ‘Historical Insertion Sort’, exploits the temporal locality present in a nearly sorted list rather than the more ...
Alistair Moffat, Ola Petersson
openaire +2 more sources