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mt-java from group com.github.hullbend (version 1.1.0)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions. For larger random dense matrices (above ~ 350 x 350) matrix-matrix multiplication C = A.B is about 50% faster than MTJ.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.1.0
Last update 01. January 2019
Tags: methods linear least matrix larger about random data solvers singular structures eigenvalue faster squares matrices multiplication than value above dense decompositions
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

mt-java from group com.github.hullbend (version 1.0.8)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions. For larger random dense matrices (above ~ 350 x 350) matrix-matrix multiplication C = A.B is about 50% faster than MTJ.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.0.8
Last update 15. December 2018
Tags: methods linear least matrix larger about random data solvers singular structures eigenvalue faster squares matrices multiplication than value above dense decompositions
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

mt-java from group com.github.hullbend (version 1.0.7)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.0.7
Last update 05. December 2018
Tags: methods eigenvalue linear squares least matrix data value solvers singular decompositions structures
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

mt-java from group com.github.hullbend (version 1.0.6)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.0.6
Last update 05. December 2018
Tags: methods eigenvalue linear squares least matrix data value solvers singular decompositions structures
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

mt-java from group com.github.hullbend (version 1.0.5)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.0.5
Last update 27. November 2018
Tags: methods eigenvalue linear squares least matrix data value solvers singular decompositions structures
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!

mt-java from group com.github.hullbend (version 1.0.4)

Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions.

Group: com.github.hullbend Artifact: mt-java
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9 downloads
Artifact mt-java
Group com.github.hullbend
Version 1.0.4
Last update 23. November 2018
Tags: methods eigenvalue linear squares least matrix data value solvers singular decompositions structures
Organization not specified
URL https://github.com/HullBend/mt-java/
License GNU Lesser General Public License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!



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