Items where Author is "Relton, Samuel D."

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Number of items: 21.

Article

Kandolf, Peter and Relton, Samuel D. (2017) A Block Krylov Method to Compute the Action of the Frechet Derivative of a Matrix Function on a Vector with Applications to Condition Number Estimation. SIAM J. Sci. Comput., 39 (4). A1416-A1434.

Dongarra, Jack and Hammarling, Sven and Higham, Nicholas J. and Relton, Samuel D. and Valero-Lara, Pedro and Zounon, Mawussi (2017) The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems. Procedia Computer Science, 108. pp. 495-504.

Higham, Nicholas J. and Relton, Samuel D. (2016) Estimating the Largest Elements of a Matrix. SIAM Journal on Scientific Computing, 38 (5). C584-C601.

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2015) New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously. SIAM J. Sci. Comput., 37 (1). A456-A487. ISSN 1095-7197

Higham, Nicholas J. and Relton, Samuel D. (2014) Estimating the Condition Number of the Frechet Derivative of a Matrix Function. SIAM Journal on Scientific Computing, 36 (6). C617-C634. ISSN 1064-8275

Higham, Nicholas J. and Relton, Samuel D. (2014) Higher Order Frechet Derivatives of Matrix Functions and the Level-2 Condition Number. SIAM Journal on Matrix Analysis and Applications, 35 (3). pp. 1019-1037. ISSN 1095-7162

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2013) Computing the Frechet Derivative of the Matrix Logarithm and Estimating the Condition Number. SIAM J. Sci. Comput., 35 (4). C394 -C410. ISSN 1095-7197

MIMS Preprint

Relton, Samuel D. and Valero-Lara, Pedro and Zounon, Mawussi (2016) A Comparison of Potential Interfaces for Batched BLAS Computations. [MIMS Preprint]

Kandolf, Peter and Relton, Samuel D. (2016) A Block Krylov Method to Compute the Action of the Frechet Derivative of a Matrix Function on a Vector with Applications to Condition Number Estimation. [MIMS Preprint]

Dongarra, Jack and Duff, Iain and Gates, Mark and Haidar, Azzam and Hammarling, Sven and Higham, Nicholas J. and Hogg, Jonathon and Valero-Lara, Pedro and Relton, Samuel D. and Tomov, Stanimire and Zounon, Mawussi (2016) A Proposed API for Batched Basic Linear Algebra Subprograms. [MIMS Preprint]

Higham, Nicholas J. and Relton, Samuel D. (2015) Estimating the Largest Elements of a Matrix. [MIMS Preprint]

Higham, Nicholas J. and Relton, Samuel D. (2015) Estimating the Largest Elements of a Matrix. [MIMS Preprint]

Arter, Wayne and Morgan, J. Guy and Relton, Samuel D. and Higham, Nicholas J. (2015) Ranking the Importance of Nuclear Reactions for Activation and Transmutation Events. [MIMS Preprint]

Arter, Wayne and Morgan, J. Guy and Relton, Samuel D. and Higham, Nicholas J. (2015) Ranking the Importance of Nuclear Reactions for Activation and Transmutation Events. [MIMS Preprint]

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2014) New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously. [MIMS Preprint]

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2014) New Algorithms for Computing the Matrix Sine and Cosine Separately or Simultaneously. [MIMS Preprint]

Higham, Nicholas J. and Relton, Samuel D. (2013) Estimating the Condition Number of the Frechet Derivative of a Matrix Function. [MIMS Preprint]

Higham, Nicholas J. and Relton, Samuel D. (2013) Higher Order Frechet Derivatives of Matrix Functions and the Level-2 Condition Number. [MIMS Preprint]

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2012) Computing the Frechet Derivative of the Matrix Logarithm and Estimating the Condition Number. [MIMS Preprint]

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2012) Computing the Frechet Derivative of the Matrix Logarithm and Estimating the Condition Number. [MIMS Preprint]

Al-Mohy, Awad H. and Higham, Nicholas J. and Relton, Samuel D. (2012) Computing the Frechet Derivative of the Matrix Logarithm and Estimating the Condition Number. [MIMS Preprint]

This list was generated on Fri Mar 29 01:00:39 2024 GMT.