Publications

Fernando D. Gaspoz, und Pedro Morin. Convergence rates for adaptive finite elements. IMA J. Numer. Anal., (29)4:917--936, Oxford University Press, 2009. [PUMA: a estimator, equations posteriori adaptive error refinement, vorlaeufig elliptic mesh]

J. Manuel Cascón, Ricardo H. Nochetto, und Kunibert G. Siebert. Design and Convergence of AFEM in $H(div)$. Mathematical Models & Methods in Applied Sciences, (17)11:1849--1881, 2007. [PUMA: A convergence; posteriori reduction; from:mhartmann error estimate; multigrid oscillation; preconditioning vorlaeufig ians] URL

F. D. Gaspoz, C. Kreuzer, K. Siebert, und D. Ziegler. A convergent time-space adaptive $dG(s)$ finite element method for parabolic problems motivated by equal error distribution. Submitted, 2017. [PUMA: a equation estimators, convergence, error finite methods, ians posteriori from:mhartmann adaptivity, element vorlaeufig heat] URL

Daniel Wirtz, und Bernard Haasdonk. Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems & Control Letters, (61)1:203--211, Elsevier BV, 2012. [PUMA: subspace error dynamical kernel a-posteriori from:britsteiner methods, ians systems, nonlinear offline/online decomposition, projection estimates, model anm reduction,] URL

Navid Ghajarnia, Mahdi Akbari, Peyman Saemian, Mohammad Reza Ehsani, Seyed-Mohammad Hosseini-Moghari, Asghar Azizian, Zahra Kalantari, Ali Behrangi, Mohammad J. Tourian, Björn Klöve, und Ali Torabi Haghighi. Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. Earth and Space Science, (9)10:e2022EA002352, 2022. [PUMA: precipitation imported statistical error decomposition, multi-scale ERA, evaluation, estimates, analysis geoinst] URL

C. Kreutz, M.M. Bartolome Rodriguez, T. Maiwald, M. Seidl, H.E. Blum, L. Mohr, und J. Timmer. An error model for protein quantification. Bioinformatics, (23)20:2747--2753, Oxford University Press (OUP), September 2007. [PUMA: error protein model] URL

Alexander Schöll, Claus Braun, Michael A. Kochte, und Hans-Joachim Wunderlich. Low-Overhead Fault-Tolerance for the Preconditioned Conjugate Gradient Solver. Proceedings of the International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT'15), 60-65, 2015. [PUMA: myown linear CG error error-detection error-correction fault-tolerance fault sparse preconditioned ABFT system PCG SimTech gradient conjugate solver]

T. Richter. Effective Visual Masking Techniques in JPEG2000. Data Compression Conference, 2008. DCC 2008, 540-540, März 2008. [PUMA: masking;Data measurement;Transform coding;Mean error compression;Distortion coding;Visual data allocation;visual methods;JPEG2000;image compression;mean square compression;image methods;Performance coding;mean Gaussian;JPEG2000;Visual evaluation;Signal Masking measurement;Humans;Image error;rate system;Generalized resolution;Size] URL

C. Kreutz, M.M. B. Rodriguez, T. Maiwald, M. Seidl, H.E. Blum, L. Mohr, und J. Timmer. An error model for protein quantification. Bioinformatics, (23)20:2747-2753, Oxford University Press (OUP), September 2007. [PUMA: error model] URL

Daniel Wirtz, und Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, systems, nonlinear offline/online decomposition, parameterized projection estimates, model vorlaeufig reduction,] URL

J. Manuel Cascón, Ricardo H. Nochetto, und Kunibert G. Siebert. Design and Convergence of AFEM in $H(div)$. Mathematical Models & Methods in Applied Sciences, (17)11:1849--1881, 2007. [PUMA: A convergence; posteriori reduction; error estimate; multigrid oscillation; preconditioning vorlaeufig] URL

Daniel Groß, Heiner Früh, Daniel Contreras, Krzysztof Rudion, Linda Rupp, und Christian Lakenbrink. Evaluation of a Three-Phase Distribution System State Estimation for Operational Use in a Real Medium Voltage Grid. 2019. [PUMA: error data meter real measurement medium three-phase distribution voltage estimation system placement state pseudo measurements] URL

Fernando D. Gaspoz, und Pedro Morin. Convergence rates for adaptive finite elements. IMA J. Numer. Anal., (29)4:917--936, Oxford University Press, 2009. [PUMA: a estimator, equations posteriori adaptive from:mhartmann error refinement, vorlaeufig ians elliptic mesh]

F. D. Gaspoz, P. Morin, und A. Veeser. A posteriori error estimates with point sources in fractional sobolev spaces. Numerical Methods for Partial Differential Equations, (33)4:1018--1042, 2017. [PUMA: a Dirac estimators, error finite fractional methods, ians posteriori from:mhartmann adaptivity, element spaces mass, Sobolev vorlaeufig] URL

I. Martini, G. Rozza, und Bernard Haasdonk. Reduced basis approximation and a-posteriori error estimation for the coupled Stokes-Darcy system. Advances in Computational Mathematics, (41)5:1131--1157, 2015. [PUMA: Error decomposition; medium from:britsteiner 76D07 Porous ians Reduced method; basis problem; Stokes estimation; 76S05; equation; Non-coercive Domain flow; anm 65N55;] URL

Daniel Wirtz, und Bernard Haasdonk. Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems & Control Letters, (61)1:203--211, Elsevier BV, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online decomposition, projection estimates, model anm reduction,] URL

Daniel Wirtz, und Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online decomposition, parameterized projection estimates, model anm reduction,] URL

J. Antes, und I. Kallfass. Performance Estimation for Broadband Multi-Gigabit Millimeter and Sub-Millimeter Wave Wireless Communication Links. IEEE Trans. on Microwave Theory and Techniques, (63)10:3288--3299, 2015. [PUMA: monolithic (BER);complex links;channel networks;error limiting noise;Wireless range;symbol rates;wireless noise;quadrature imbalance;quadrature estimation;symbol frontend;broadband keying waves;wireless noise;nonideal communication;mmw (mmw) imperfection;performance imbalance;limiting waves;phase shift frequency signals;relative error;submillimeter-wave channels;E-band millimeter-wave modulated links;broadband statistics;millimetre (SER);wireless imbalance;in-phase oscillator multigigabit bandwidths;in-phase communication phase (MMICs);performance rate phase-shift characteristics;performance estimation;performance broadband noise;extremely wireless frontend systems;Bandwidth;Bit (EVM);millimeter-wave submillimeter-wave modulation error networks;submillimetre keying;radio magnitude limits;quadrature communication;Bit factor;local integrated rate;Estimation;Modulation;Phase modulation;error amplitude vector circuits]

T. Richter. Effective Visual Masking Techniques in JPEG2000. Data Compression Conference, 2008. DCC 2008, 540-540, März 2008. [PUMA: masking;Data measurement;Transform coding;Mean error compression;Distortion coding;Visual data allocation;visual methods;JPEG2000;image compression;mean square compression;image methods;Performance coding;mean Gaussian;JPEG2000;Visual evaluation;Signal Masking measurement;Humans;Image error;rate system;Generalized resolution;Size] URL

Claus Braun. Algorithm-based fault tolerance for matrix operations on graphics processing units: analysis and extension to autonomous operation.. 2015. [PUMA: myown linear error error-detection algebra fault-tolerance simulation matrix-operations fault GPU GPGPU ABFT SimTech algorithm-based]