SMatrix is a C++ package for high performance vector and matrix computations. It can be used only in problems when the size of the matrices is known at compile time, like in the tracking reconstruction of HEP experiments. It is based on a C++ technique, called expression templates, to achieve an high level optimization. The C++ templates can be used to implement vector and matrix expressions such that these expressions can be transformed at compile time to code which is equivalent to hand optimized code in a low-level language like FORTRAN or C (see for example ref. 1)

The SMatrix has been developed initially by T. Glebe of the Max-Planck-Institut, Heidelberg, as part of the HeraB analysis framework. A subset of the original package has been now incorporated in the ROOT distribution, with the aim to provide to the LHC experiments a stand-alone and high performant matrix package for reconstruction. The API of the current package differs from the original one, in order to be compliant to the ROOT coding conventions.

SMatrix contains generic Matrix and Vector classes to describe matrix and vector of arbitrary dimensions and of arbitrary type. The classes are templated on the scalar type and on the size of the matrix (number of rows and columns) or the vector. Therefore, the size has to be known at compile time. Since the release 5.10, SMatrix supports symmetric matrices using a storage class (ROOT::Math::MatRepSym) which contains only the N*(N+1)/2 independent element of a NxN symmetric matrix. It is not in the mandate of this package to provide a complete linear algebra functionality for these classes. What is provided are basic Matrix Template Functions and Vector Template Functions, such as the matrix-matrix, matrix-vector, vector-vector operations, plus some extra functionality for square matrices, like inversion, which is based on the optimized Cramer method for squared matrices of size up to 6x6, and determinant calculation. For a more detailed descriptions and usage examples see:

The SMatrix package contains only header files. Normally one does not need to build any library. In the ROOT distribution a library, libSmatrix is produced with the C++ dictionary information for vectors, symmetric and squared matrices for double, float types up to dimension 7. The current version of SMatrix can be downloaded from here. If you want to install the header files or run the test configure script and then make install or make check to build the tests. No dictionary library is built in this case.

References

T. Veldhuizen, Expression Templates, C++ Report, 1995.
T. Glebe, SMatrix - A high performance library for Vector/Matrix calculation and Vertexing, HERA-B Software Note 01-134, December 2, 2003 (pdf)
L. Moneta, ROOT Math proposal for Linear Algebra, presentation at the LCG Application Area meeting, November 23, 2005

Authors: the ROOT Math Library Team, T. Glebe (original SMatrix author) and J. Palacios (LHCb)

Modules
	Expression Template Classes

	Generic Template Functions
	These functions apply for any type T, such as a scalar, a vector or a matrix.

	Vector Template Functions
	These functions apply to SVector types (and also to Vector expressions) and can return a vector expression or a scalar, like in the Dot product, or a matrix, like in the Tensor product.

	Matrix Template Functions
	These function apply to matrices (and also Matrix expression) and can return a matrix expression of a particular defined type, like in the matrix multiplication or a vector, like in the matrix-vector product or a scalar like in the Similarity vector-matrix product.

	SMatrix Storage Representation
	Classes MatRepStd and MatRepSym for generic and symmetric matrix data storage and manipulation.

	Matrix and Vector classes
	Classes representing Matrices and Vectors of arbitrary type and dimension.

References

Modules