Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Matrix Template Library

Known as: MTL 
The Matrix Template Library (MTL) is a linear algebra library for C++ programs. The MTL uses template programming, which considerably reduces the… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Active libraries can be defined as libraries which play an active part in the compilation, in particular, the optimisation of… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
2009
2009
Sparse matrices are indispensable components of most scientific applications. Nevertheless, there is very little general-purpose… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2007
Highly Cited
2007
Positive results from new object-oriented tools for scientific programming are reported. Using template classes, abstractions of… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
2004
2004
AKIRA is an open-source framework for cognitive and sociocognitive modeling and simulations, that couples the strength of solid… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
2000
2000
In this chapter, we present a generic programming methodology for expressing data structures and algorithms for numerical linear… Expand
  • table 1.1
  • figure 2.1
  • table 2.1
  • figure 2.2
  • figure 2.3
Highly Cited
1999
Highly Cited
1999
In this paper we present the Generic Graph Component Library (GGCL), a generic programming framework for graph data structures… Expand
  • figure 1
  • table 3
  • table 1
  • table 2
  • table 5
Highly Cited
1999
Highly Cited
1999
The paper discusses the Matrix Template Library, a generic component library for scientific computing. Although MTL consists of a… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
1998
1998
The traditional approach to writing basic linear algebra routines is a combinatorial affair. There are typically four precision… Expand
  • figure 1
  • table 1
  • figure 3
  • figure 4
  • figure 5
Highly Cited
1998
Highly Cited
1998
We present a unified approach for building high-performance numerical linear algebra routines for large classes of dense and… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
1997
1997
We present the preliminary design for a C++ template library to enable the compositional construction of matrix classes suitable… Expand
  • table 1