Markus Hegland

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 10

Top Topics

Matrix Approximation

High Availability

Additive Models

Top Venues

Publications

Markus Hegland, Zbigniew Stachurski, Conrad J. Burden
Computing expected moments of the Rényi parking problem on the circle. CoRR (2023)
Markus Hegland, Janosch Rieger
Generalized Gearhart-Koshy acceleration is a Krylov space method of a new type. CoRR (2023)
Dean Muir, David Pfefferlé, Zhisong Qu, Matthew Hole, Markus Hegland
Numerical integration of particle orbits in discontinuous fields using VENUS-LEVIS and SPEC. Comput. Phys. Commun. 271 (2022)
Frank de Hoog, Markus Hegland
A Note on Error Bounds for Pseudo Skeleton Approximations of Matrices. CoRR (2021)
Markus Hegland, Frank de Hoog
Low rank approximation of positive semi-definite symmetric matrices using Gaussian elimination and volume sampling. CoRR (2020)
Yossi Bokor, Daniel Grixti-Cheng, Markus Hegland, Stephen G. Roberts, Katharine Turner
Stratified Space Learning: Reconstructing Embedded Graphs. CoRR (2019)
Md. Mohsin Ali, Peter E. Strazdins, Brendan Harding, Markus Hegland
Complex scientific applications made fault-tolerant with the sparse grid combination technique. Int. J. High Perform. Comput. Appl. 30 (3) (2016)
Markus Hegland, Paul C. Leopardi
Sparse grid quadrature on products of spheres. Numer. Algorithms 70 (3) (2015)
Md. Mohsin Ali, Peter E. Strazdins, Brendan Harding, Markus Hegland, Jay W. Larson
A fault-tolerant gyrokinetic plasma application using the sparse grid combination technique. HPCS (2015)
Brendan Harding, Markus Hegland, Jay W. Larson, James Southern
Fault Tolerant Computation with the Sparse Grid Combination Technique. SIAM J. Sci. Comput. 37 (3) (2015)
Brendan Harding, Markus Hegland, Jay W. Larson, James Southern
Scalable and Fault Tolerant Computation with the Sparse Grid Combination Technique. CoRR (2014)
Bishnu P. Lamichhane, Stephen G. Roberts, Markus Hegland
A new multivariate spline based on mixed partial derivatives and its finite element approximation. Appl. Math. Lett. 35 (2014)
Valeriy Khakhutskyy, Markus Hegland
Parallel Fitting of Additive Models for Regression. KI (2014)
Brendan Harding, Markus Hegland
A Parallel Fault Tolerant Combination Technique. PARCO (2013)
Markus Hegland, Grzegorz W. Wasilkowski
On tractability of approximation in special function spaces. J. Complex. 29 (1) (2013)
Jay W. Larson, Peter E. Strazdins, Markus Hegland, Brendan Harding, Stephen G. Roberts, Linda Stals, Alistair P. Rendell, Md. Mohsin Ali, James Southern
Managing Complexity in the Parallel Sparse Grid Combination Technique. PARCO (2013)
Philipp Hupp, Riko Jacob, Mario Heene, Dirk Pflüger, Markus Hegland
Global Communication Schemes for the Sparse Grid Combination Technique. PARCO (2013)
Jay W. Larson, Markus Hegland, Brendan Harding, Stephen G. Roberts, Linda Stals, Alistair P. Rendell, Peter E. Strazdins, Md. Mohsin Ali, Christoph Kowitz, Ross H. Nobes, James Southern, Nicholas Wilson, M. Li, Y. Oishi
Fault-Tolerant Grid-Based Solvers: Combining Concepts from Sparse Grids and MapReduce. ICCS (2013)
Valeriy Khakhutskyy, Dirk Pflüger, Markus Hegland
Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids. PARCO (2013)
Christoph Kowitz, Markus Hegland
The Sparse Grid Combination Technique for Computing Eigenvalues in Linear Gyrokinetics. ICCS (2013)
Hans-Joachim Bungartz, Dirk Pflüger, Markus Hegland
High-Dimensional Meets Parallel: Algorithms and Applications. PARCO (2013)
Markus Hegland, Paul C. Leopardi
Sparse grid quadrature on products of spheres CoRR (2012)
Peter Strazdins, Markus Hegland
Performance analysis of a cardiac simulation code using IPM. ScalA@SC (2011)
Markus Hegland, Robert S. Anderssen
Dilational interpolatory inequalities. Math. Comput. 80 (274) (2011)
Markus Hegland, Stefan Heinrich, Ian H. Sloan
Guest Editors' Preface. J. Complex. 26 (5) (2010)
Vikram Sunkara, Markus Hegland
An optimal Finite State Projection Method. ICCS (1) (2010)
Michael Griebel, Markus Hegland
A Finite Element Method for Density Estimation with Gaussian Process Priors. SIAM J. Numer. Anal. 47 (6) (2010)
Jochen Garcke, Markus Hegland
Fitting multidimensional data using gradient penalties and the sparse grid combination technique. Computing 84 (1-2) (2009)
Markus Hegland, Conrad J. Burden, Lucia Santoso
Modelling Gene Regulatory Networks Using Galerkin Techniques Based on State Space Aggregation and Sparse Grids. HPSC (2006)
Jochen Garcke, Markus Hegland
Fitting Multidimensional Data Using Gradient Penalties and Combination Techniques. HPSC (2006)
Shawn W. Laffan, Ole Møller Nielsen, O. M. Silcock, Markus Hegland
Sparse Grids: a new predictive modelling method for the analysis of geographic data. Int. J. Geogr. Inf. Sci. 19 (3) (2005)
Peter Christen, Tim Churches, Markus Hegland
Febrl - A Parallel Open Source Data Linkage System: http://datamining.anu.edu.au/linkage.html. PAKDD (2004)
Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams
Conceptual Mining of Large Administrative Health Data. PAKDD (2004)
Agnes Boskovitz, Rajeev Goré, Markus Hegland
A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning. IDA (2003)
Jochen Garcke, Markus Hegland, Ole Møller Nielsen
Parallelisation of Sparse Grids for Large Scale Data Analysis. International Conference on Computational Science (2003)
Stephen G. Roberts, Markus Hegland, Irfan Altas
Approximation of a Thin Plate Spline Smoother Using Continuous Piecewise Polynomial Functions. SIAM J. Numer. Anal. 41 (1) (2003)
Markus Hegland
Algorithms for Association Rules. Machine Learning Summer School (2002)
Markus Hegland, Michael R. Osborne, Jie Sun
Parallel Interior Point Schemes for Solving Multistage Convex Programming. Ann. Oper. Res. 108 (1-4) (2001)
Peter Christen, Markus Hegland, Ole Møller Nielsen, Stephen G. Roberts, Peter E. Strazdins, Tatiana Semenova, Irfan Altas, Timothy Hancock
Towards a Parallel Data Mining Toolbox. IPDPS (2001)
Ole Møller Nielsen, Peter Christen, Markus Hegland, Tatiana Semenova, Timothy Hancock
A Toolbox Approach to Flexible and Efficient Data Mining. PAKDD (2001)
Simon Hawkins, Graham J. Williams, Rohan A. Baxter, Peter Christen, Michael J. Fett, Markus Hegland, Fuchun Huang, Ole Møller Nielsen, Tatiana Semenova, Andrew Smith
Data Mining of Administrative Claims Data for Pathology Services. HICSS (2001)
Peter Christen, Markus Hegland, Ole Møller Nielsen, Stephen G. Roberts, Peter E. Strazdins, Irfan Altas
Scalable parallel algorithms for surface fitting and data mining. Parallel Comput. 27 (7) (2001)
Ole Møller Nielsen, Markus Hegland
Parallel Performance of Fast Wavelet Transforms. Int. J. High Speed Comput. 11 (1) (2000)
Sergey Bakin, Markus Hegland, Michael R. Osborne
Parallel MARS Algorithm Based on B-splines. Comput. Stat. 15 (4) (2000)
Sergey Bakin, Markus Hegland, Graham J. Williams
Mining taxation data with parallel BMARS. Parallel Algorithms Appl. 15 (1-2) (2000)
Peter Arbenz, Andrew J. Cleary, Jack J. Dongarra, Markus Hegland
A Comparison of Parallel Solvers for Diagonally Dominant and General Narrow-Banded Linear Systems II. Euro-Par (1999)
Peter Christen, Irfan Altas, Markus Hegland, Stephen G. Roberts, Kevin Burrage, Roger B. Sidje
A parallel finite element surface fitting algorithm for data mining. PARCO (1999)
Markus Hegland, Margaret Kahn, Michael R. Osborne
A Parallel Algorithm for the Reduction to Tridiagonal Form for Eigendecomposition. SIAM J. Sci. Comput. 21 (3) (1999)
Peter Arbenz, Andrew J. Cleary, Jack J. Dongarra, Markus Hegland
A Comparison of Parallel Solvers for Diagonally Dominant and General Narrow-Banded Linear Systems. Scalable Comput. Pract. Exp. 2 (4) (1999)
Robert S. Anderssen, Markus Hegland
For numerical differentiation, dimensionality can be a blessing! Math. Comput. 68 (227) (1999)
Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen G. Roberts
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project. Large-Scale Parallel Data Mining (1999)
Markus Hegland, Vladimir Pestov
Additive models in high dimensions CoRR (1999)
Markus Hegland, Michael R. Osborne
Algorithms for Block Bidiagonal Systems on Vector and Parallel Computers. International Conference on Supercomputing (1998)
Michael K. Ng, Zhexue Huang, Markus Hegland
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD (1998)
Richard P. Brent, L. Grosz, David L. Harrar II, Markus Hegland, Margaret Kahn, G. Keating, G. Mercer, Ole Møller Nielsen, Michael R. Osborne, Bing Bing Zhou, M. Nakanishi
Development of a Mathematical Subroutine Library for Fujitsu Vector Parallel Processors. International Conference on Supercomputing (1998)
M. Thamban Nair, Markus Hegland, Robert S. Anderssen
The trade-off between regularity and stability in Tikhonov regularization. Math. Comput. 66 (217) (1997)
Markus Hegland, W. W. Wheeler
Linear Bijections and the Fast Fourier Transform. Appl. Algebra Eng. Commun. Comput. 8 (2) (1997)
Peter Arbenz, Markus Hegland
The Stable Parallel Solution of Narrow Banded Linear Systems. PPSC (1997)
Markus Hegland
Divide and Conquer for the Solution of Banded Linear Systems of Equations. PDP (1996)
Markus Hegland
Real and Complex Fast Fourier Transforms on the Fujitsu VPP 500. Parallel Comput. 22 (4) (1996)
Markus Hegland
An Implementation of Multiple and Multivariate Fourier Transforms on Vector Processors. SIAM J. Sci. Comput. 16 (2) (1995)
Markus Hegland
Block Algorithms for FFTs on Vector and Parallel Computers. PARCO (1993)
Markus Hegland
Implementing partition on vector computers. ICS (1991)
Markus Hegland
On the Computation of Breeding Values. CONPAR (1990)