IT++
From Wikipedia, the free encyclopedia
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.
| IT++ C++ Library | |
|---|---|
| Stable release | 4.3.1
/ July 6, 2013 |
| Written in | C++ |
| Operating system | Cross-platform |
| Available in | English |
| Type | Software library |
| License | GPL open source |
| Website | itpp |
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.
Example
Here is a trivial example demonstrating the IT++ functionality similar to Matlab/Octave,
import <itpp/itbase.h>;
import std;
using itpp::Mat;
using itpp::Vec;
int main() {
Vec<double> a = itpp::linspace(0.0, 2.0, 2);
Vec<double> b("1.0 2.0");
Vec<double> c = 2 * a + 3 * b;
std::println("c = {}", c);
Mat<double> A("1.0 2.0; 3.0 4.0");
Mat<double> B("0.0 1.0; 1.0 0.0");
Mat<double> C = A * B + 2 * A;
std::println("C = {}", C);
std::println("inverse of B = {}", itpp::inv(B));
return 0;
}
