la4j.org valuation and analysis

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Title la4j - Linear Algebra for
Description Installation la4j - Linear Algebra for
Keywords la4j,Java,java,matrix library,library,matrix,linear,linear algebra,sparse,dense
Server Information
WebSite la4j faviconla4j.org
Host IP 192.30.252.153
Location United States
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la4j.org Valuation
US$1,167,536
Last updated: 2023-05-13 18:36:46

la4j.org has Semrush global rank of 9,065,511. la4j.org has an estimated worth of US$ 1,167,536, based on its estimated Ads revenue. la4j.org receives approximately 134,716 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.153. According to SiteAdvisor, la4j.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,167,536
Daily Ads Revenue US$1,078
Monthly Ads Revenue US$32,332
Yearly Ads Revenue US$387,981
Daily Unique Visitors 8,982
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
la4j.org. A 21600 IP: 192.30.252.153
la4j.org. NS 21600 NS Record: ns-cloud-a4.googledomains.com.
la4j.org. NS 21600 NS Record: ns-cloud-a3.googledomains.com.
la4j.org. NS 21600 NS Record: ns-cloud-a1.googledomains.com.
la4j.org. NS 21600 NS Record: ns-cloud-a2.googledomains.com.
HtmlToTextCheckTime:2023-05-13 18:36:46
The la4j library is open source and 100% Java library that provides Linear Algebra primitives (matrices and vectors) and algorithms. The library was initially designed to be lightweight and simple tool for passionate Java developers. It has been started as student project and turned into one of the most popular Java packages for matrices and vectors. Installation The details on latest stable version might be found at Github releases page . <dependency> <groupId>org.la4j</groupId> <artifactId>la4j</artifactId> <version>0.6.0</version> </dependency> Features The key features of the la4j library are: Great performance allied with beautiful design No dependencies and tiny size (~150kb jar) Fluent object-oriented/functional API Sparse ( CRS , CCS ) and dense (1D/2D arrays) matrices Linear systems solving (Gaussian, Jacobi, Zeidel, Square Root, Sweep and other) Matrices decomposition (Eigenvalues/Eigenvectors, SVD, QR, LU, Cholesky and other)
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Date: Tue, 21 Dec 2021 22:18:02 GMT
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