Results 251 to 260 of about 31,167 (325)

Efficient and reliable spike sorting from neural recordings with UMAP-based unsupervised nonlinear dimensionality reduction. [PDF]

open access: yesPLoS Biol
Suárez-Barrera D   +11 more
europepmc   +1 more source

PROTAC-DB 3.0: an updated database of PROTACs with extended pharmacokinetic parameters. [PDF]

open access: yesNucleic Acids Res
Ge J   +9 more
europepmc   +1 more source

Towards responsible genome-wide screening

open access: yes
Plantinga M   +12 more
europepmc   +1 more source

Searching and Sorting

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
exaly   +3 more sources

Searching and Sorting

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

Searching and Sorting

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

Sorting, Approximate Sorting, and Searching in Rounds

SIAM Journal on Discrete Mathematics, 1988
The worst case number of comparisons needed for sorting or selecting in rounds is considered. The following results are obtained. (a) For every fixed \(k\geq 2\), \(\Omega (n^{1+1/k}(\log n)^{1/k})\) comparisons are required to sort n elements in k rounds. \((O(n^{1+1/k}\log n)\) are known to be sufficient.) This improves the previously known bounds by
Noga Alon, Yossi Azar
exaly   +3 more sources

Historical searching and sorting

International Symposium on Algorithms, 1991
A ‘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

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