Armadillo library

GPTKB entity

Statements (58)
Predicate Object
gptkbp:instance_of gptkb:Boost
gptkbp:available_on gptkb:Git_Hub
gptkbp:can_be_used_with gptkb:MATLAB
gptkb:Python
gptkb:R
Octave
gptkbp:developed_by gptkb:Author
gptkbp:first_released gptkb:2009
gptkbp:has gptkb:Performance_Monitoring
gptkb:email_client
release notes
versioning system
active community
extensive documentation
tutorials available
examples provided
https://www.w3.org/2000/01/rdf-schema#label Armadillo library
gptkbp:is_compatible_with gptkb:GCC
gptkb:LAPACK
gptkb:BLAS
gptkb:Foot_Clan
gptkb:Visual_Studio
gptkb:CMake
gptkbp:is_designed_for ease of use
gptkbp:is_influenced_by gptkb:MATLAB
gptkb:Eigen
gptkb:Num_Py
gptkbp:is_often_used_in gptkb:Industry
academia
gptkbp:is_open_source gptkb:true
gptkbp:is_optimized_for gptkb:performance
gptkbp:is_part_of numerical computing ecosystem
gptkbp:is_used_by gptkb:engineers
gptkb:developers
gptkb:researchers
data scientists
gptkbp:license gptkb:GNU_GPL
gptkbp:platform gptkb:true
gptkbp:programming_language gptkb:C++
gptkbp:provides gptkb:random_number_generation
statistical functions
high-level syntax
matrix decompositions
file I/ O functions
solvers for linear systems
gptkbp:suitable_for large datasets
real-time applications
gptkbp:supports complex numbers
matrix operations
vector operations
sparse matrices
gptkbp:used_for linear algebra
gptkbp:used_in gptkb:machine_learning
data analysis
scientific computing
gptkbp:written_in gptkb:C++
gptkbp:bfsParent gptkb:Rcpp_Armadillo
gptkbp:bfsLayer 6