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Armadillo is a comprehensive, template based, C++ linear algebra library designed with alternative interfaces for LAPACK and ATLAS libraries.
The tool is created to offer both speed and ease of use, as well as a familiar syntax (or API), similar to Matlab.
Armadillo allows you to script various types of mathematical functions that you can integrate in components or applications. It can help you develop algorithms in machine learning, process signals, generate statistics, even recognize patterns.
It can come in handy for bioinformatics, statistics or other scientific studies and provides you with classes of vectors, matrices, cubes functions.
It can work with several categories of numbers, such as integer, floating or complex, as well as with trigonometric functions.
Armadillo integrates well with LAPACK or other similar tools, allowing you to inherit and extend their capabilities. It allows you to create routines for solving both linear equations and matrices or to decompose a matrix.
Similar algebra solutions can be provided by integrations with libraries such as Intel MKL, AMD ACML or certain editions of BLAS.
The tool provides you with an automatic expression evaluator, that you can access via the specific template and use to combine multiple algorithms.
It allows you to increase the efficiency and speed of compiling by performing several operations at the same time.
Armadillo can be used with one of the supported development environments, such as C++ or Visual C++ and with GCC, Intel pr MSVC C++ compilers.
Moreover, the tool features a detailed documentation that allows you to get accustomed with the syntax and the functions that you can generate.
Armadillo is also accompanied by templates and examples, designed to help you get started with defining functions or algorithms.
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Armadillo is a comprehensive, template based, C++ linear algebra library designed with alternative interfaces for LAPACK and ATLAS libraries.
The tool is created to offer both speed and ease of use, as well as a familiar syntax (or API), similar to Matlab.
Armadillo allows you to script various types of mathematical functions that you can integrate in components or applications. It can help you develop algorithms in machine learning, process signals, generate statistics, even recognize patterns.
It can come in handy for bioinformatics, statistics or other scientific studies and provides you with classes of vectors, matrices, cubes functions.
It can work with several categories of numbers, such as integer, floating or complex, as well as with trigonometric functions.
Armadillo integrates well with LAPACK or other similar tools, allowing you to inherit and extend their capabilities. It allows you to create routines for solving both linear equations and matrices or to decompose a matrix.
Similar algebra solutions can be provided by integrations with libraries such as Intel MKL, AMD ACML or certain editions of BLAS.
The tool provides you with an automatic expression evaluator, that you can access via the specific template and use to combine multiple algorithms.
It allows you to increase the efficiency and speed of compiling by performing several operations at the same time.
Armadillo can be used with one of the supported development environments, such as C++ or Visual C++ and with GCC, Intel pr MSVC C++ compilers.
Moreover, the tool features a detailed documentation that allows you to get accustomed with the syntax and the functions that you can generate.
Armadillo Description:
Armadillo is a comprehensive, template based, C++ linear algebra library designed with alternative interfaces for LAPACK and ATLAS libraries.
The tool is created to offer both speed and ease of use, as well as a familiar syntax (or API), similar to Matlab.
Armadillo allows you to script various types of mathematical functions that you can integrate in components or applications. It can help you develop algorithms in machine learning, process signals, generate statistics, even recognize patterns.
It can come in handy for bioinformatics, statistics or other scientific studies and provides you with classes of vectors, matrices, cubes functions.
It can work with several categories of numbers, such as integer, floating or complex, as well as with trigonometric functions.
Armadillo integrates well with
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Armadillo is an automatic expression evaluator for functions and classes on matrices, vectors and cubes. It’s a complete, functional and OOP centered software designed to work both with the LAPACK and the ATLAS libraries.
This tool provides functions to work with matrices, vectors and cubes with elements that are real, integer, float or complex.
It is based on Templated design and provides an automatic expression evaluator to calculate both sequential and block-sequential operations on matrices, vector and cubes. It also allows you to redefine operators, integrals and functions.
Moreover, the tool features a complete documentation with the templates designed to help you get used to the syntax and the functions that you can define.
The tool supports the following features:
• several interfaces to work with LAPACK, MKL, ACML, blas, ATLAS or the Armadillo libraries
• data types: real, integer, float and complex numbers
• operations and comparisons: element-by-element, diagonal and elementary operations, scalar products, matrix decomposition, scaling, vector norms and other operations based on c++ operators, including comparisons
• functions and operators: C++ operators, static functions, operators, manipulations in OOPs, the procedural approach and the template method of inheritance and specialization for primitive data types and classes. Moreover, the template method allows you to simplify and redefine operator functions using the template operators
• expressions: for all supported data types, it can be evaluated using the automatic expression evaluator, to combine several operations, to assign to functions or to create algorithms. You can use:
· List operations
· Transpose
· Absolute value
· Matrix operations, rowwise, colwise or columnwise
· Comparisons
Armadillo is a complete library of C++ mathematical tools
For example, you can create your own vectors, matrices,
cubes, analyze data, work with fundamental algorithms,
compute regression and other statistical functions, extract statistics for your data.
The software has been created to offer both speed and ease of use, as well as a familiar syntax (or API), similar to Matlab.
Armadillo allows you to script various types of mathematical functions that you can integrate in components or applications.
The tool can help you develop algorithms in machine learning, process signals, generate statistics, even recognize patterns.
It can come in handy for bioinformatics, statistics or
What’s New In Armadillo?
Armadillo is a template-based linear algebra library, with classes of vectors, matrices, cubes and linear algebra.
The tool is created to offer both speed and ease of use, as well as a familiar syntax, similar to Matlab.
Armadillo can work with different types of numbers, such as integer, floating or complex, as well as with trigonometric functions.
It has a built-in expression evaluator, that allows you to access and run several functions simultaneously.
The tool comes with a powerful documentation for those who want to learn the classes, or write their own functions.
The integration with LAPACK makes it possible to inherit the capabilities of the libraries, allowing you to integrate more features with the tool.
Armadillo Compatibility:
Armadillo can integrate with a wide range of development environments, such as C++, Visual C++ and GCC, Intel pr MSVC C++ compilers.
It can work with one of the compilers of the particular package, making it compatible with the compilers that supports the most of the features.
Some of the most common compilers are:
Visual C++ 7.x, 8.x, and 9.x
Visual C++ 2005
Visual C++ 2010
Visual C++ 2012
Visual C++ 2013
Visual C++ 2015
Visual C++ 2017
Visual C++ 2012 can be found here:
Armadillo can be used with x64 editions for Visual C++, Visual C++ 2013, Visual C++ 2015 and Visual C++ 2017.
The tool also provides support for x32 editions for Visual C++ 2012.
The interface can be accessed through the following APIs and methods:
C++:
double mmult(double *a, double *b, unsigned int n);
double mdiv(double *a, double *b, unsigned int n);
int mntm(double *a, double *b, unsigned int n);
float mntf(float *a, float *b, unsigned int n);
single mnts(single *a, single *b, unsigned int n);
void mznrm2(double *a, unsigned int *p, unsigned int *nrm2);
void mznrm2(single *a, unsigned int *p, unsigned int *nrm2);
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System Requirements:
Windows® 2000/XP/Vista®/7/8/10
Intel® Core™ 2 Duo E6600/6600T/6800/6850/6900/6950 or AMD® Phenom™ II X3 Black Edition (45W 3.10 GHz)
2.0 GHz or faster
4 GB RAM (6 GB for large sessions)
DirectX® 9.0c compatible video card
CoreSight™ Development Kit installed (Intel® Core™ 2 or AMD Phenom™ II X3)
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