IPNet Digest Volume 19, Number 09 December 10, 2012 Today's Editor: Patricia K. Lamm, Michigan State University Today's Topics: Conference: Mathematical and Numerical Aspects of Waves (Waves 2013) Workshop: Advances in Regularization, Optimization, Kernel Methods, etc. Symposium: Inverse Problems Symposium 2013 Research Positions: Biomedical Image Computing/Modelling in Sheffield Permanent Post: Lecturer in Inverse Problems in Manchester Postdoc Positions: KU Leuven ESAT-SCD New Edition: Inverse Acoustic and Electromagnetic Scattering Theory Table of Contents: Electronic Transactions on Numerical Analysis Table of Contents: Inverse Problems Table of Contents: Nonlinear Analysis: Modelling and Control Free Access: Selected Articles from AIMS Inverse Problems and Imaging Submissions for IPNet Digest: Mail to ipnet-digest@math.msu.edu Information about IPNet: http://www.math.msu.edu/ipnet ----------------------------- Subject: International Conference Waves 2013 - Call for papers From: Date: 11/24/2012 The 11th International Conference on Mathematical and Numerical Aspects of Waves (Waves 2013) is organized jointly by ENIT-LAMSIN, INRIA and ENSTA. The conference will be held at Hotel El Mouradi (Gammarth - Tunis) from June 3rd to june 7th. This conference is the main venue where significant advances in the analysis and computational modeling of wave phenomena and exciting new applications are presented. Conference website: http://www.lamsin.rnu.tn/waves13/ Conference Themes: The themes for this meeting include, but are not restricted to Forward and Inverse Scattering, Fast Computational Techniques, Numerical Analysis, Approximate Boundary Conditions, Domain Decomposition, Analytical and Semi-analytical Methods, Nonlinear Wave Phenomena, Water Waves and Coastal Modeling, Guided Waves and Random Media, Medical and Seismic Imaging. Important Dates: Submissions of abstracts December 1st, 2012 (acceptance notification by February 16th, 2013). Opening of registration January 1st, 2013. Conference starts June 3, 2013 at 8h00. Conference ends June 7, 2013, last talk at 12h30. Contact/Information: waves13@lamsin.tn Plenary Speakers Grégoire Allaire (Ecole Polytechnique, FR) Mourad Bellassoued (University of Science of Bizerte, TN) Laurent Gizon (Max Planck Institute for Solar System Research, DE) Ivan G. Graham (University of Bath, UK) Marcus Grote (University of Basel, CH) Sergei A. Nazarov (Russian Academy of Sciences, RU) Francisco Sayas (University of Delaware, US) Chrysoula Tsogka (University of Crete, GR) ----------------------------- Subject: ROKS-2013 July 8-10, 2013, Leuven Belgium From: Johan Suykens Date: 11/28/2012 ROKS-2013 International workshop on advances in Regularization, Optimization, Kernel methods and Support vector machines: theory and applications July 8-10, 2013, Leuven, Belgium http://www.esat.kuleuven.be/sista/ROKS2013 SCOPE One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning and representations of models are key ingredients in these methods. On the other hand considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays a prominent role. The aim of ROKS-2013 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies along these areas, both at the level of theory and applications. The scope includes but is not limited to: - Regularization: L2, L1, Lp, lasso, group lasso, elastic net, spectral regularization, nuclear norm, others - Support vector machines, least squares support vector machines, kernel methods, gaussian processes and graphical models - Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, Banach spaces, operator splitting - Optimization formulations, optimization algorithms - Supervised, unsupervised, semi-supervised learning, inductive and transductive learning - Multi-task learning, multiple kernel learning, choice of kernel functions, manifold learning - Prior knowledge incorporation - Approximation theory, learning theory, statistics - Matrix and tensor completion, learning with tensors - Feature selection, structure detection, regularization paths, model selection - Sparsity and interpretability - On-line learning and optimization - Applications in machine learning, computational intelligence, pattern analysis, system identification, signal processing, networks, datamining, others - Software CALL FOR ABSTRACTS The ROKS-2013 program will feature invited plenary talks, oral sessions and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution. After the workshop a number of selected contributions will be invited for an edited book. For further information see http://www.esat.kuleuven.be/sista/ROKS2013 . IMPORTANT DATES - Extended abstract submission website opens: Jan 9, 2013 - Deadline extended abstract submission: March 4, 2013 - Notification of acceptance: April 8, 2013 - Deadline for registration: June 3, 2013 - International Workshop ROKS-2013: July 8-10, 2013 ORGANIZING COMMITTEE Chair: Johan Suykens (KU Leuven) Andreas Argyriou (Ecole Centrale Paris), Kris De Brabanter (KU Leuven), Moritz Diehl (KU Leuven), Kristiaan Pelckmans (Uppsala University), Marco Signoretto (KU Leuven), Vanya Van Belle (KU Leuven), Joos Vandewalle (KU Leuven) Co-sponsored by ERC Advanced Grant ----------------------------- Subject: Inverse Problems Symposium, June 9-11, 2013 Announcement From: Jon Woolley Date: 11/29/2012 Dear Inverse Problems Researchers and Instructors, This is the announcement of the 2013 Inverse Problems Symposium that will be held June 9-11 in Huntsville, Alabama. Please mark this time in your calendars. This symposium is the 26th in the series of national and international meetings on Inverse Problems that were initiated at MSU in 1988 by Dr. James Beck. The last symposia were held at the University of Central Florida and Michigan State University in 2011 and 2012, respectively. The 2013 symposium in Huntsville, Alabama will retain the single session format of these symposia, and will have sessions addressing both the theoretical and applied aspects of inverse problems. We are actively seeking session organizers, so please let us know if you are interested. The overall schedule for 2013 will be similar to that in 2012: Sunday June 9: 15:00-17:00 Dr. Cara Brooks, tutorial on local regularization methods for solving inverse problems Evening: Informal dinner on our own Monday, June 10: 8:00-17:00 Oral and Poster Presentations. Lunch provided. 19:00 Symposium Banquet Tuesday, June 11: 8:00-17:00 Oral presentations. Lunch provided. 17:00 Conclusion Early registration is available through April 30, 2013. The early registration fee is $200 for regular registration and $150 for student registration. After April 30, the registration fee will go up to $250/$175 regular/student. The registration fee covers Monday/Tuesday continental breakfast, lunch, breaks, Monday banquet, and CD. We are interested in a wide range of topics in engineering, agriculture, natural sciences, mathematics, statistics, etc. A written paper is not required and the papers will not be subject to copyright. The abstracts should be submitted before January 30, 2013. The program is being developed. On-line registration and submission will begin by December 1, 2012. The website is up and running: www.inverseproblems2013.org All the best, Jon Woolley ----------------------------- Subject: Research Associate & Scientific Developers in Medical Image Analysis & Modelling - University of Sheffield, UK From: Alejandro Frangi Date: 11/17/2012 First Announcement: Research Associate & Scientific Software Developer Openings in image computing/modelling, Sheffield, UK CISTIB Center for Computational Imaging & Simulation Technologies in Biomedicine INSIGNEO Institute for in silico Medicine The University of Sheffield The INSIGNEO Institute for in silico Medicine is an initiative between the Faculty of Engineering and the Faculty of Medicine at the University of Sheffield and the Sheffield Teaching Hospitals Foundation Trust. INSIGNEO will realise the scientific ambition behind the Virtual Physiological Human (VPH), producing a transformational impact on healthcare. INSIGNEO performs cutting edge research in areas of fundamental and applied biomedical modelling, imaging and informatics. It will pursue the research agenda of the VPH initiative; in particular, in the first five years it will focus on the Digital Patient, In Silico Clinical Trials, and Personal Health Forecasting. It will achieve transformational impact on healthcare through multidisciplinary collaboration in strategic areas, which initially will include personalised treatments and independent, active and healthy ageing. The Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) at the University of Sheffield is part of INSIGNEO. CISTIB focuses on algorithmic and applied research in the areas of computational imaging, modeling and simulation. CISTIB is working in different areas of medical image segmentation, anatomical modelling, statistical shape analysis, tissue characterisation and image-based personalized computational modelling in the cardiovascular, musculoskeletal and neurological domains. The centre hosts academic members from the University of Sheffield and collaborators at the Universitat Pompeu Fabra, Barcelona, as well as research fellows, research associates, PhD Students and scientific software developers forming a cross-disciplinary team of biomedical engineers, computer scientists, electrical engineers, mechanical engineers, physicists, and mathematicians. The main objective of CISTIB is to contribute to the development of technologies for advanced screening, diagnostics, interventional guidance and therapy planning of cardio- and neurovascular diseases as well as growing activity in the musculo-skeletal system. Converging technologies such as computational imaging, computational physiology and virtual implantation of medical devices are integrated with state of the art multimodal acquisition systems to achieve an enhanced interpretation of human physiology and pathology and supply integrative approaches for in silico medical device customization, optimization and image-based efficacy assessment. Core technologies include spatial and temporal image segmentation, non-rigid image registration, multimodal image fusion, pattern recognition, statistical shape analysis, multi-view geometry, image-based tissue property estimation, tissue deformation quantification, computational geometry, image-based mesh generation, computational fluid dynamics and electro-mechanical simulation. CISTIB fosters basic and applied research and promotes technology transfer to industry. It participates to a number of national and international research projects funded by the European Commission, and holds collaborations with several national and international companies. CISTIB also very close cooperation with clinical centers at the local level and worldwide and has a strong clinically-oriented translational vision. Call for prospective candidates This is a pre-announcement of upcoming R&D positions. A couple of new exciting projects have been awarded to CISTIB and will start in early 2013. Both projects are funded by the European Commission and involve multi partner consortia with a combination of academic, clinical and industrial partners across Europe. Projects are related to patient-specific musculoskeletal and brain modelling in the context of paediatric diseases and dementia syndrome. We are receiving expressions of interest of prospective candidates for upcoming positions as Research Associates and Scientific Software Developers. We seek proactive and talented individuals with proven track record of publications in leading international journals and conferences. Candidates must hold a PhD degree and have expertise in the area of interest. Background or strong interest in biomedical engineering and proficiency in spoken and written English is expected. The candidates will have to demonstrate expertise in one or various of the following areas of computational imaging and modelling: - Non-rigid image registration: we are seeking individuals with experience in non-rigid image registration with application to brain, musculoskeletal, cardiac and vascular registration of multimodal imaging. Experience in advanced registration techniques for volumes and surfaces, diffeomorphic registration approaches, statistical deformation analysis, biomechanically-based non-rigid deformations - Diffusion tensor image processing: we seek for candidates with experience in tensor-based image processing, diffusion tensor image analysis, connectivity analysis, fibre tracking, statistical modelling of fibre tracks, tensor processing. Strong background on mathematics and computing are required. We are seeking to characterise tissue anisotropy so as to be integrated in personalised models of brain biophysics. - Statistical shape modelling and image analysis: we are seeking candidates with expertise in statistical shape and appearance models interested in developing 3D and 3D+t multi object and multi resolution approaches for cardiovascular and musculoskeletal image segmentation and shape analysis. - Image-based brain tissue elastography: we are looking for researchers with track record in soft-tissue mechanics and image analysis experience to develop novel ideas of image-based tissue elastography based on new MR-based imaging. In particular, we are interested in recovering brain tissue elastic and poroelastic properties. Methods will be generic so as to be applied to other soft-tissue domains like cardiac and vascular tissues. - Subject-specific biophysically-based simulation of brain MRI in dementia: we are looking for researchers with experience in MR image formation and reconstruction as well as on MRI simulators. We aim at linking biophysical models of brain tissue degeneration with MRI intensity modelling through machine learning. Our aim is to understand how chronic biophysical conditions may influence image appearance in dementia patients so as to develop image-based biomarkers underpinned by mechanistic understanding of tissue degeneration. - Modelling of circadian and lifestyle physiological changes: we are seeking an outstanding candidate with background in signal processing and modelling to develop circadian and lifestyle models of physiological signal variability based on pervasive sensing and monitoring. The goal is to utilise the derived models to establish personalised and lifestyle-specific boundary conditions for image-based patient-specific biophysical models. The ideal candidate will have substantive expertise in control theory, signal processing, system identification and physiological modelling. - Scientific software developers: we are seeking scientific software engineers that will be providing services and expertise relating to the development of codes and software applications used by CISTIB researchers. The team works with researchers across the group to develop best practice for research programming. They will have a key role in furthering the development of the framework and clinical software prototypes based upon GIMIAS, our open source framework (www.gimias.org), and our computational imaging libraries, the CISTIB Toolkit. We are interested in individuals with excellent communication and leadership skills, able to work in a multidisciplinary and international team and contribute to the visibility of the centre in the international scientific community. The ability to interact with other disciplines is essential. The candidate will cooperate with members of the lab working on related topics as well as with our collaborators at several academic institutions in UK and across Europe. If you feel you qualify and would be interested in applying for one of these positions, please, send your CV for an informal discussion to Prof Alejandro Frangi a.frangi@sheffield.ac.uk with CC to Dr Zeike Taylor (z.taylor@sheffield.ac.uk) and Dr Alberto Marzo (a.marzo@sheffield.ac.uk). Submitted by: Alejandro F. Frangi Professor of Biomedical Image Computing Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) INSIGNEO Institute for In silico Medicine The University of Sheffield Sir Frederick Mappin Bldg, Mappin St, S1 3JD Sheffield, United Kingdom T: +44 114 2220153 | E: a.frangi@sheffield.ac.uk W: www.cistib.org/afrangi ----------------------------- Subject: Lecturer in Inverse Problems in Manchester From: Bill Lionheart Date: 11/25/2012 We are advertising for a permanent post of Lecturer in Applied Mathematics in Inverse Problems at Manchester. In US terminology this is a permanent faculty position. In Manchester we have a large and active School of Mathematics with active groups in, for example, numerical analysis, geometry and statistics. We have a wide range of collaborators in Manchester including the Manchester X-ray Imaging Facility which applies laboratory cone beam and synchrotron xray ct to problems in materials, NDT, biology and geology . The Biomedical Imaging Institute with a wide range of groups working in MRI and PET. We also collaborate with the Photon Science Institute, the Process Tomography Group, Petroleum Engineering, an Electron Microscope Tomography group, Astronomy, and groups in Electronic Engineering working on biomedical EIT and other electromagnetic inverse problems in medicine, biology and security screening. We have extensive industrial collaborations including biomedical, geophysical and security imaging. The permanent members of the group are Bill Lionheart and Oliver Dorn, with Simon Cotter having recently joined the School as well. We typically have around half a dozen PhD students and two post docs and have been fortunate in securing external funding from both research councils and industry. We are open to applications from those working in any area of theoretical or applied inverse problems that will strengthen existing areas of interest as well as extend our work in to new mathematical or application areas. The official job advertisement can be seen at https://www.jobs.manchester.ac.uk/DisplayJob.aspx?Jobid=20083 [Closing date is January 4th, 2013.] Please check the advert or email me with informal queries -- Bill Lionheart Professor of Applied Mathematics University of Manchester http://www.maths.manchester.ac.uk/bl . ----------------------------- Subject: Postdoc positions at KU Leuven ESAT-SCD From: Johan Suykens Date: 11/20/2012 The research group KU Leuven ESAT-SCD is currently offering 2 Postdoc positions (1-year, extendable) within the framework of the ERC Advanced Grant A-DATADRIVE-B http://www.esat.kuleuven.be/sista/ADB in connection to the OPTEC KU Leuven Center of Excellence: Optimization in Engineering http://www.kuleuven.be/optec/ . The research positions relate to the following possible topics: -1- Prior knowledge incorporation -2- Kernels and tensors -3- Modelling structured dynamical systems -4- Sparsity -5- Optimization algorithms -6- Core models and mathematical foundations -7- Next generation software tool The research group ESAT-SCD http://www.esat.kuleuven.be/scd/ at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including systems and control theory, neural networks and machine learning, nonlinear systems and complex networks, optimization, signal processing, bioinformatics and biomedicine. The research will be conducted under the supervision of Prof. Johan Suykens. Interested candidates having a solid mathematical background and PhD degree can apply for these positions by sending their CV and motivation letter to johan.suykens@esat.kuleuven.be. For further information on these positions you may contact johan.suykens@esat.kuleuven.be. ----------------------------- Subject: New Book From: Rainer Kress Date: 11/26/2012 The third edition of D. Colton, R. Kress, Inverse Acoustic and Electromagnetic Scattering Theory has appeared recently, see http://www.springer.com/mathematics/dynamical+systems/book/978-1-4614-4941-6 >From the back cover: The inverse scattering problem is central to many areas of science and technology such as radar and sonar, medical imaging, geophysical exploration and nondestructive testing. This book is devoted to the mathematical and numerical analysis of the inverse scattering problem for acoustic and electromagnetic waves. In this third edition, new sections have been added on the linear sampling and factorization methods for solving the inverse scattering problem as well as expanded treatments of iteration methods and uniqueness theorems for the inverse obstacle problem. These additions have in turn required an expanded presentation of both transmission eigenvalues and boundary integral equations in Sobolev spaces. As in the previous editions, emphasis has been given to simplicity over generality thus providing the reader with an accessible introduction to the field of inverse scattering theory. Submitted by: Professor Rainer Kress Institut fuer Numerische und Angewandte Mathematik Lotzestr. 16-18, D 37083 Goettingen, Germany Tel: 0049 551 394511 Fax: 0049 551 393944 http://www.num.math.uni-goettingen.de/kress ----------------------------- Subject: TOC, ETNA, vol. 39, 2012 From: Lothar Reichel Date: 12/3/2012 Electronic Transactions on Numerical Analysis 2012 Vol. 39 Table of Contents The MR3-GK algorithm for the bidiagonal SVD P. R. Willems and B. Lang Collocation methods based on radial basis functions for the coupled Klein-Gordon-Schrödinger equations A. Golbabai and A. Safdari-Vaighani A combined fourth-order compact scheme with an accelerated multigrid method for the energy equation in spherical polar coordinates T. V. S. Sekhar, R. Sivakumar, S. Vimala, and Y. V. S. S. Sanyasiraju Extremal interpolatory problem of Fejér type for all classical weight functions P. Rutka and R. Smarzewski On domain-robust preconditioners for the Stokes equations M. Dobrowolski The complete stagnation of GMRES for n ? 4 G. Meurant Trigonometric Gaussian quadrature on subintervals of the period G. Da Fies and M. Vianello Boundary element collocation method for solving the exterior Neumann problem for Helmholtz's equation in three dimensions A. Kleefeld and T.-C. Lin Estimations of the trace of powers of positive self-adjoint operators by extrapolation of the moments C. Brezinski, P. Fika, and M. Mitrouli Spectral deflation in Krylov solvers: A theory of coordinate space based methods M. H. Gutknecht Spectral analysis of a block-triangular preconditioner for the Bidomain system in electrocardiology L. Gerardo-Giorda and L. Mirabella Creating domain mappings K. Atkinson and O. Hansen A robust FEM-BEM MinRes solver for distributed multiharmonic eddy current optimal control problems in unbounded domains M. Kolmbauer Improved predictor schemes for large systems of linear ODEs M. Al Sayed Ali and M. Sadkane Variational ensemble Kalman filtering using limited memory BFGS A. Solonen, H. Haario, J. Hakkarainen, H. Auvinen, I. Amour, and T. Kauranne Conformal mapping of circular multiply connected domains onto slit domains R. Czapla, V. Mityushev, and N. Rylko Optimizing Runge-Kutta smoothers for unsteady flow problems P. Birken An iterative substructuring algorithm for a C^0 interior penalty method S. C. Brenner and K. Wang Cascadic multigrid preconditioner for elliptic equations with jump coefficients Z. Liu and Y. He Fejer orthogonal polynomials and rational modification of a measure on the unit circle J.-C. Santos-Leon Locally supported eigenvectors of matrices associated with connected and unweighted power-law graphs V. E. Henson and G. Sanders A survey and comparison of contemporary algorithms for computing the matrix geometric mean B. Jeuris, R. Vandebril, and B. Vandereycken Integrating Oscillatory Functions in Matlab, II L. F. Shampine Computation of the matrix pth root and its Fréchet derivative by integrals J. R. Cardoso Gradient descent for Tikhonov functionals with sparsity constraints: Theory and numerical comparison of step size rules D. A. Lorenz, P. Maass, and P. Q. Muoi A multiparameter model for link analysis of citation graphs E. Bozzo and D. Fasino On the minimization of a Tikhonov functional with a non-convex sparsity constraint R. Ramlau and C. A. Zarzer ETNA is available at http://etna.math.kent.edu and at several mirror sites. ETNA is in the extended Science Citation Index and the CompuMath Citation Index. ----------------------------- Subject: Inverse Problems, Volume 28, Number 12, December 2012 From: Date: 12/8/2012 Inverse Problems December 2012 Volume 28, Number 12 Table of Contents Topical Review Sparsity regularization for parameter identification problems Bangti Jin and Peter Maass Papers A regularized directional derivative-based Newton method for inverse singular value problems Wei Ma, and Zheng-Jian Bai On uniqueness of Lame' coefficients from partial Cauchy data in three dimensions Oleg Yu Imanuvilov, Gunther Uhlmann, and Masahiro Yamamoto On reconstruction of a cavity in a linearized viscoelastic body from infinitely many transient boundary data Masaru Ikehata, and Hiromichi Itou Acousto-electric tomography and CGO solutions with internal data Ilker Kocyigit A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making Hacheme Ayasso, Thomas Rodet, and Alain Abergel Inverse scattering by point-like scatterers in the Foldy regime Durga Prasad Challa, and Mourad Sini An identity for triplets of double Hilbert transforms, with applications to the attenuated Radon transform Jan-Olov Strömberg, and Joel Andersson Electromagnetic wave imaging of targets buried in a cluttered medium using a hybrid inversion-DORT method Ting Zhang, Patrick C Chaumet, Emeric Mudry, Anne Sentenac, and Kamal Belkebir Passive imaging of moving targets exploiting multiple scattering using sparse distributed apertures Ling Wang, and Birsen Yazici Blind deconvolution of seismograms regularized via minimum support A A Royer, M G Bostock, and E Haber Time-reversal of electromagnetic scattering for small scatterer classification J Torquil Smith, and James G Berryman Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors Felix Lucka IOP Publishing Limited Registered in England under Registration No 467514. Registered Office: Dirac House, Temple Back, Bristol BS1 6BE England ----------------------------- Subject: Table of Contents, Nonlinear Analysis: Modelling and Control From: Romas Baronas Date: 11/29/2012 Nonlinear Analysis: Modelling and Control 2012 Volume 17, Number 4 Table of Contents Hopf bifurcation and optimal control in a diffusive predator-prey system with time delay and prey harvesting Xiaoyuan Chang, Junjie Wei An unconstrained binary quadratic programming for the maximum independent set problem Sidi Mohamed Douiri, Souad Elbernoussi On the analytic solutions for squeezing flow of nanofluid between parallel disks Meraj Mustafa Hashmi, Tasawar Hayat, A. Alsaedi Theory and computational study of electrophoretic ion separation and focusing in microfluidic channels Oleksiy V. Klymenko, Christian Amatore, Wen Sun, Yong-Liang Zhou, Zhao-Wu Tian, Irina Svir Optimal control of an epidemic model with a saturated incidence rate Hassan Laarabi, El Houssine Labriji, Mostafa Rachik, Abdelilah Kaddar Multiple positive solutions to mixed boundary value problems for singular ordinary differential equations on the whole line Yuji Liu Exact solutions of the Kudryashov–Sinelshchikov equation and nonlinear telegraph equation via the first integral method Mohammad Mirzazadeh, Mostafa Eslami Goodness-of-fit tests for sparse nominal data based on grouping Marijus Radavic(ius, Pavel Samusenko For a paper submission, please refer to http://www.mii.lt/NA/ A free on-line edition is available at: http://www.mii.lt/NA/issues.htm ----------------------------- Subject: Top articles from AIMS journal Inverse Problems and Imaging access free From: Liwei Ning Date: 12/7/2012 6:06 PM The American Institute of Mathematical Sciences offers selected articles from the journal Inverse Problems and Imaging access free until January 1, 2013. http://www.aimsciences.org/journals/home.jsp?journalID=11 Microlocal sequential regularization in imaging Daniela Calvetti and Erkki Somersalo On uniqueness in the inverse conductivity problem with local data Victor Isakov A remark on inverse problems for resonances Maciej Zworski Model distortions in Bayesian MAP reconstruction Mila Nikolova Kaczmarz methods for regularizing nonlinear ill-posed equations II: Applications Markus Haltmeier, Richard Kowar, Antonio Leitao and Otmar Scherzer Two-Dimensional tomography with unknown view angles Lars Lamberg and Lauri Ylinen On the convergence of the quasioptimality criterion for (iterated) Tikhonov regularization Stefan Kindermann and Andreas Neubauer Factorization method and inclusions of mixed type in an inverse elliptic boundary value problem Bastian Gebauer and Nuutti Hyvonen Stability estimates in stationary inverse transport Guillaume Bal and Alexandre Jollivet Fast dual minimization of the vectorial total variation norm and applications to color image processing Xavier Bresson and Tony F. Chan Inverse problems for Einstein manifolds Colin Guillarmou and Antonio Sa Barreto Discretization-invariant Bayesian inversion and Besov space priors Matti Lassas, Eero Saksman and Samuli Siltanen An estimate for the free Helmholtz equation that scales John Sylvester Range conditions for a spherical mean transform Mark Agranovsky, David Finch and Peter Kuchment Perfect and almost perfect pulse compression codes for range spread radar targets Markku Lehtinen, Baylie Damtie, Petteri Piiroinen and Mikko Orispaa New results on transmission eigenvalues Fioralba Cakoni and Drossos Gintides Simultaneous cartoon and texture inpainting Jian-Feng Cai, Raymond H. Chan and Zuowei Shen Template matching via l_1 minimization and its application to hyperspectral data Zhaohui Guo and Stanley Osher Is SIFT scale invariant? Jean-Michel Morel and Guoshen Yu Reconstructions from boundary measurements on admissible manifolds Carlos E. Kenig, Mikko Salo and Gunther Uhlmann Enjoy Reading, Lassi Paivarinta Editor-in-Chief ------- end -------