Examples of using Inverse problems in English and their translations into German
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Optimization and inverse problems.
Inverse problems for random surfaces and data.
Teaching at the chair for opimization and inverse problems.
Modelling and inverse problems in nanometrology.
WORKGROUP FOR Image Processing and Inverse Problems PROF.
Bayesian inverse problems in hierarchical tensor formats.
RG4: Nonlinear optimization and inverse problems Mohrenstr.
Solving inverse problems in landscape and environmental planning.
Moreover, we develop accurate,stable and efficient reconstruction methods for these inverse problems.
Inverse problems consist in reconstructing causes from observed effects.
Modelling of electromagnetic fields and inverse problems in optics, nanometrology and medical physics.
Strong interest in working on numerical optimal transport andits applications to data analysis and inverse problems.
Direct and inverse problems in thermomechanics Thermomechanical models are the basis for the description of numerous technological processes.
Schedule Some talks take place in the seminars FS Scientific Computing andFS PDEs and Inverse Problems.
Statistical inverse problems In many applications the quantities of interest can be observed only indirectly, or they must be derived from other measurements.
These include announcements in the field of stem cell research, water management and inverse problems in mathematics.
Direct and inverse problems for the Maxwell equations The work is focussed on models for inductive heating of steel and for light scattering by periodic surface structures.
The program focuses on mathematical modeling and numerical simulation,including topics such as partial differential equations, inverse problems, and financial mathematics.
Inverse problems find application in calculating the epicenter of an earthquake, for example, by combining the amplitude of signals from an earthquake sensor and data on geologic conditions.
The problem of calibrating stochastic models infinancial mathematics is a particular challenge, because the inverse problems involved are non-linear.
In September 2016,a workshop on the topic of"Optimal control meets inverse problems" with 33 participants took place in Essen, organized jointly by Christian Clason, Arnd Rösch and Irwin Yousept.
Numerical and analytical modelling of physical processes in metrology, with the focal points"analysis" and"numerics" of partial differential equations,solving of inverse problems and modelling of non-linear, complex systems.
Direct and Inverse Problems for Models with Uncertain Data Modelling real-world physical systems always includes uncertainties(at least implicitly) regarding the measurement and determination of the data of the model.
Service to the scientific community==From 1995 to 1999,Natterer was the honorary editor of the journal"Inverse Problems" and since 2000 he has been a member of the“International Advisory Panel of Inverse Problems”.
Statistics Meets Optimisation and Inverse Problems" will concentrate on new mathematical concepts for the efficient reconstruction and classification of relevant structures in data without the need to reconstruct the information in its entirety.
The institute's research focuses on the development and application of analytical and numerical mathematical methods and on mathematical modelling. Particular areas of interest are partial differential equations,multiscale methods, inverse problems, variational calculus, mathematical imaging, mathematical models in the biosciences, dynamical systems, optimization and scientific computing.
Numerical investigation of dictionary-based regularization for inverse problems and approximation problems on spheres and balls- with applications to seismic tomography and high-dimensional geophysical modelling", financed by the German Research Foundation DFG.
Professor Grêt-Regamey's particular focus lies in integrating environmental considerations in spatial planning processes, risk-based decision-making for landscape and urban development, participatory approaches in landscapeand environmental planning, including GIS-based 3D visualisation and modelling tools, and in solving inverse problems for sustainable spatial development.
Inverse problems are typically ill-posed in the sense that causes do not depend continuously on their effects and hence noise in the measurement of effects may be arbitrarily amplified by naÃ̄ve reconstruction methods. For more information on inverse problems in general, see inverse problems group at the University of Göttingen.