The code implements and tests four QR factorization methods: Classical GramSchmidt, Modified Gram-Schmidt, Householder, and Givens rotations which can be executed and reproduced within the Jupyter ...

<li class="toctree-l1"><a class="reference internal" href="nimfa.models.html">Models (<tt class="docutils literal"><span class="pre">models</span></tt>)</a></li> <li ...

Abstract: Kernel methods represent some of the most popular machine learning tools for data analysis. Since exact kernel methods can be prohibitively expensive for large problems, reliable low-rank ...

This book is devoted to numerical methods for solving sparse linear algebra systems of very large dimension which arise in the implementation of the mesh approximations of the partial differential ...

Methods of polynomial factorization which find the zeros one at a time require the division of the polynomial by the accepted factor. It is shown how the accuracy of this division may be increased by ...