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Statements

Subject Item
dbr:List_of_numerical_libraries
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dbr:Efficient_Java_Matrix_Library
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Efficient Java Matrix Library
rdfs:comment
Efficient Java Matrix Library (EJML) is a linear algebra library for manipulating real/complex/dense/sparse matrices. Its design goals are; 1) to be as computationally and memory efficient as possible for both small and large matrices, and 2) to be accessible to both novices and experts. These goals are accomplished by dynamically selecting the best algorithms to use at runtime, clean API, and multiple interfaces. EJML is free, written in 100% Java and has been released under an Apache v2.0 license.
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dbr:List_of_numerical_libraries dbr:JAMA_(numerical_linear_algebra_library) dbc:Numerical_libraries dbr:Cross-platform dbr:Kalman_gain dbr:Singular_Value_Decomposition dbr:Apache_License
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dbp:author
Peter Abeles
dbp:genre
Library
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2020-11-04
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0.4
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dbo:abstract
Efficient Java Matrix Library (EJML) is a linear algebra library for manipulating real/complex/dense/sparse matrices. Its design goals are; 1) to be as computationally and memory efficient as possible for both small and large matrices, and 2) to be accessible to both novices and experts. These goals are accomplished by dynamically selecting the best algorithms to use at runtime, clean API, and multiple interfaces. EJML is free, written in 100% Java and has been released under an Apache v2.0 license. EJML has three distinct ways to interact with it: 1) Procedural, 2) SimpleMatrix, and 3) Equations. The procedural style provides all capabilities of EJML and almost complete control over matrix creation, speed, and specific algorithms. The SimpleMatrix style provides a simplified subset of the core capabilities in an easy to use flow-styled object-oriented API, inspired by JAMA. The Equations style provides a symbolic interface, similar in spirit to Matlab and other CAS, that provides a compact way of writing equations.
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dbr:List_of_Java_frameworks
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