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IT++
From Wikipedia, the free encyclopedia
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IT++ is a C++ library of classes and functions for linear algebra, numerical optimization, signal processing, communications, and statistics.[1] It is being developed by researchers in these areas and is widely used by researchers, both in the communications industry and universities.[2][3] The IT++ library originates from the former Department of Information Theory at the Chalmers University of Technology, Gothenburg, Sweden.
The kernel of the IT++ library is templated vector and matrix classes, and a set of accompanying functions. Such a kernel makes IT++ library similar to Matlab/Octave. For increased functionality, speed and accuracy, IT++ can make extensive use of existing free and open source libraries, especially BLAS, LAPACK and FFTW libraries. Instead of BLAS and LAPACK, some optimized platform-specific libraries can be used as well, i.e.:
- ATLAS (Automatically Tuned Linear Algebra Software) - includes optimised BLAS, CBLAS and a limited set of LAPACK routines;
- MKL (Intel Math Kernel Library) - includes all required BLAS, CBLAS, LAPACK and FFT routines (FFTW not required);
- ACML (AMD Core Math Library) - includes BLAS, LAPACK and FFT routines (FFTW not required).
It is possible to compile and use IT++ without any of the above-listed libraries, but the functionality will be reduced. IT++ works on Linux, Solaris, Windows (with Cygwin, MinGW/MSYS, or Microsoft Visual C++) and OS X operating systems.
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Example
Here is a trivial example demonstrating the IT++ functionality similar to Matlab/Octave,
import <itpp/itbase.h>;
import std;
using itpp::vec;
int main() {
vec a = itpp::linspace(0.0, 2.0, 2);
vec b("1.0 2.0");
vec c = 2 * a + 3 * b;
std::println("c = {}", c);
mat A("1.0 2.0; 3.0 4.0");
mat B("0.0 1.0; 1.0 0.0");
mat C = A * B + 2 * A;
std::println("C = {}", C);
std::println("inverse of B = {}", itpp::inv(B));
return 0;
}
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See also
References
External links
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