Dublin Core
Title
Sublinear Computation Paradigm
Subject
Numerical analysis--Computer programs
Description
This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as “fast,” but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time.
Creator
Katoh, Naoki (editor), Higashikawa, Yuya (editor), Ito, Hiro (editor), et al.
Source
https://library.oapen.org/bitstream/20.500.12657/51501/1/9789811640957.pdf
Publisher
Springer nature
Date
2022
Contributor
INdah Fatma Silvi
Rights
Creative Commons
Format
Pdf
Language
English
Type
Textbooks