Peter Mathé

发表

Direct Estimation of Linear Functionals from Indirect Noisy Observations

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2002, J. Complex..

Quasi-Monte Carlo integration over Reald

Gang Wei, Peter Mathé, P. Mathé, 2003, Math. Comput..

Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2000, SIAM J. Numer. Anal..

Simple Monte Carlo and the Metropolis algorithm

Erich Novak, Peter Mathé, 2007, J. Complex..

On quasi-Monte Carlo simulation of stochastic differential equations

Peter Mathé, Norbert Hofmann, 1997, Math. Comput..

Analysis of Profile Functions for General Linear Regularization Methods

Bernd Hofmann, Peter Mathé, 2007, SIAM J. Numer. Anal..

Relaxation of Product Markov Chains on Product Spaces

Peter Mathé, P. Mathé, 1998, J. Complex..

Analysis of regularized Nyström subsampling for regression functions of low smoothness pdf

Shuai Lu, Peter Mathé, Sergiy Pereverzyev, 2018, Analysis and Applications.

The discretized discrepancy principle under general source conditions

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2006, J. Complex..

Minimax Rates for Statistical Inverse Problems Under General Source Conditions

Peter Mathé, Litao Ding, P. Mathé, 2017, Comput. Methods Appl. Math..

Direct and inverse results in variable Hilbert scales

Bernd Hofmann, Peter Mathé, 2008, J. Approx. Theory.

Calibration and Uncertainty Quantification of Gas Turbine Performance Models

Peter Mathé, Manuel Arias Chao, Darrel Shayne Lilley, 2015 .

Stable Summation of Orthogonal Series with Noisy Coefficients

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2002, J. Approx. Theory.

2002 Best Paper Award Committee

Fred J. Hickernell, Peter Mathé, 2002, J. Complex..

Parameter choice methods using minimization schemes

Peter Mathé, F. Bauer, F. Bauer, 2011, J. Complex..

Optimal rates for Lavrentiev regularization with adjoint source conditions

Bernd Hofmann, Peter Mathé, Robert Plato, 2017, Math. Comput..

s-Numbers in information-based complexity

Peter Mathé, 1990, J. Complex..

The use of higher order finite difference schemes is not dangerous

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2009, J. Complex..

Discrepancy based model selection in statistical inverse problems

Shuai Lu, Peter Mathé, 2014, J. Complex..

Asymptotically Optimal Weighted Numerical Integration

Peter Mathé, 1998, J. Complex..

On Optimal Random Nets

Peter Mathé, 1993, J. Complex..

Saturation of Regularization Methods for Linear Ill-Posed Problems in Hilbert Spaces

Peter Mathé, 2004, SIAM J. Numer. Anal..

The Optimal Error of Monte Carlo Integration

Peter Mathé, P. Mathé, 1995, J. Complex..

Regularization of some linear ill-posed problems with discretized random noisy data

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2006, Math. Comput..

Random approximation of Sobolev embeddings

Peter Mathé, P. Mathé, 1991, J. Complex..

Complexity of linear ill-posed problems in Hilbert space

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2017, J. Complex..

Regularization by projection: Approximation theoretic aspects and distance functions

Sergei V. Pereverzev, Bernd Hofmann, Peter Mathé, 2007 .

Regularization under general noise assumptions

Peter Mathé, Ulrich Tautenhahn, 2011 .

Enhancing linear regularization to treat large noise

Peter Mathé, Ulrich Tautenhahn, P. Mathé, 2011 .

The Monte Carlo complexity of Fredholm integral equations

Stefan Heinrich, Peter Mathé, 1993 .

Interpolation in variable Hilbert scales with application to inverse problems

Peter Mathé, Ulrich Tautenhahn, P. Mathé, 2006 .

Numerical integration using V -uniformly ergodic Markov chains

Peter Mathé, 2004 .

A different perspective on the Propagation-Separation Approach

Peter Mathé, Saskia Becker, 2013 .

Modulus of continuity for conditionally stable ill-posed problems in Hilbert space

Bernd Hofmann, Peter Mathé, B. Hofmann, 2008 .

How general are general source conditions?

Bernd Hofmann, Peter Mathé, B. Hofmann, 2008 .

Regularization properties of the sequential discrepancy principle for Tikhonov regularization in Banach spaces

Bernd Hofmann, Peter Mathé, Stephan W Anzengruber, 2014 .

Hilbert space analysis of Latin Hypercube Sampling

Peter Mathé, P. Mathé, 2000 .

Parameter choice in Banach space regularization under variational inequalities

Bernd Hofmann, Peter Mathé, B. Hofmann, 2012 .

Sharp converse results for the regularization error using distance functions

Jens Flemming, Bernd Hofmann, Peter Mathé, 2011 .