gptkbp:instance_of
|
gptkb:Library
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gptkbp:developed_by
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gptkb:University_of_California,_Berkeley
gptkb:University_of_Tennessee
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gptkbp:first_released
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gptkb:1992
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gptkbp:has_applications_in
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gptkb:Graphics_Processing_Unit
gptkb:machine_learning
finance
statistics
signal processing
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https://www.w3.org/2000/01/rdf-schema#label
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LAPACK
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gptkbp:is_available_on
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gptkb:Linux
gptkb:mac_OS
gptkb:Windows
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gptkbp:is_compatible_with
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gptkb:MATLAB
gptkb:Python
gptkb:C/_C++
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gptkbp:is_distributed_by
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gptkb:GNU_LGPL
gptkb:BSD_License
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gptkbp:is_documented_in
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gptkb:Tutorials
gptkb:Example
gptkb:manual
gptkb:book
API Reference
Technical Reports
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gptkbp:is_integrated_with
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gptkb:Tensor_Flow
gptkb:Jupyter_Notebooks
gptkb:Py_Torch
gptkb:Num_Py
Octave
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gptkbp:is_maintained_by
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gptkb:Netlib
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gptkbp:is_optimized_for
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high-performance computing
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gptkbp:is_part_of
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gptkb:Sci_Py_ecosystem
gptkb:open-source_software
gptkb:Sci_Py
gptkb:Num_Py
Numerical Linear Algebra
MATLAB Toolboxes
|
gptkbp:is_related_to
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Data science
High-Performance Computing
Machine learning
Parallel Computing
Algorithm Design
Matrix Factorization
Numerical Methods
Computational mathematics
Numerical analysis
Computational Mathematics
Matrix factorization
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gptkbp:is_supported_by
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gptkb:ATLAS
gptkb:Intel_MKL
gptkb:cu_BLAS
gptkb:Open_BLAS
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gptkbp:is_tested_for
|
performance analysis
performance profiling
unit tests
benchmarking
|
gptkbp:is_used_by
|
gptkb:engineers
gptkb:MATLAB
gptkb:R
gptkb:researchers
academics
data scientists
Python (via Sci Py)
|
gptkbp:is_used_in
|
gptkb:academic_research
image processing
data analysis
engineering applications
statistics
financial modeling
industrial applications
scientific computing
signal processing
|
gptkbp:latest_version
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3.10.1
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gptkbp:provides
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singular value decomposition
eigenvalue problems solutions
linear least squares solutions
solutions for linear equations
|
gptkbp:supports
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multiple architectures
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gptkbp:uses
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BLAS (Basic Linear Algebra Subprograms)
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gptkbp:written_in
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gptkb:Fortran
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gptkbp:bfsParent
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gptkb:Fortran
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gptkbp:bfsLayer
|
4
|