Eldad Haber

 

• 37. E. Haber, L. Horesh, L. Tenorio, To appear, Inverse Problems
  Numerical methods for optimal experimental design of large-scale ill-posed problemsl

 

• 36. L. Horesh, E. Haber, Submitted
  Overcomplete Dictionary Design by Empirical Risk Minimization

 

• 35. E. Haber, S. Heldmann, J. Modersitzki, Submitted
  A framework for image-based constrained registration with an application to local rigidity

 

• 34. E. Haber, L. Hanson, Submitted
  Model problems in PDE-constrained optimization

 

• 33. E. Haber, S. Heldmann, U. Ascher, Inverse Problems, 23, (2007), 1659-1676
  Adaptive finite volume methods for distributed non-smooth parameter identification

 

• 32. E. Haber, S. Heldmann, J. Modersitzki, To appear, SIAM J. on Scientific Computing
  Adaptive mesh refinement for non parametric image registration

 

• 31. E. Haber, S. Heldmann, J. Modersitzki, To appear, SIAM J. on Scientific Computing
  An OcTree method for parametric image registration

 

• 30. E. Haber, S. Heldmann, To appear, J. of Comp. Phys.
  An OcTree Multigrid Method for Quasi-Static Maxwell's Equations with Highly Discontinuous Coefficients

 

• 29. M. Benzi, E. Haber, L. Hanson, Submitted
  Multilevel algorithms for large-scale interior point methods in bound constrained optimization

 

• 28. J. Chung, E. Haber, J. Nagy, Inverse Problems, 22 (2006), 1261-1272
  Numerical methods for coupled super resolution

 

• 27. A. Pidlisecky, E. Haber, R. Knight, To appear, Geophysics
  RESINVM3D: A matlab 3D resistivity inversion package

 

• 26. E. Haber and D. Oldenburg and R. Shekhtman, To appear, Geophysical Journal International
  Inversion of 3D time domain electromagnetic data

 

• 25. E. Haber and J. Modersitzki, International Journal of Computer Vision 71 (2007), 361-372
  Image Registration with guaranteed displacement regularity

 

• 24. E. Haber, To appear, IMACS J. of Applied Numerical Mathematics
  A parallel method for large scale time domain electromagnetic inverse problems

 

• 23. A. Pidlisecky, R. Knight, E. Haber, Geophysics, 71 (2006), 157-167
  Cone-based Electrical Resistivity Tomography

 

• 22. E. Haber, J. Modersitzki, To Appear in Methods in Medicine and Biology
  Intensity gradient based registration and fusion of multi-modal images

 

• 21. U. Ascher, E. Haber, H. Huang, SIAM J. on Scientific Computing, 28 (2006), 339-358
  On effective methods for implicit piecewise smooth surface recovery

 

• 20. E. Haber, J. Modersitzki, SIAM J. on Scientific Computing, 27 (2006), 1594-1607
  A Multilevel Method for Image Registration

 

• 19. J. Modersitzki, E. Haber, To Appear in SIAM book series
  COFIR: Coarse and Fine Image Registration

 

• 18. E. Haber, J. Modersitzki, Inverse Problems, 20 (2004), 1621-1638:
  Numerical methods for volume preserving image registration

 

• 17. J. Chan, D. Oldenburg and E. Haber, Physics of the Earth and Planetary Interiors, 150 (2005) 45-61
  Reciprocity in electromagnetics: Application to marine magnetometric resistivity

 

• 16. E. Haber, J. Comp. Phys, 198 (2004), 518-534
  A Multilevel, Level-Set method for optimizing eigenvalues in shape design problems

 

• 15. E. Haber, Inverse Problems, 21 (2004), 305-317
  Quasi-Newton methods for large scale electromagnetic inverse problems

 

• 14. E. Haber and L. Tenorio, Inverse Problems, 19 (2003), 611-626
  Learning regularization functionals

 

• 13. E. Haber, U. Ascher and D. Oldenburg, Geophysics ,69 (2004), 1216-1228
  Inversion of 3D electromagnetic data in frequency and time domain using an inexact all-at-once approach

 

• 12. J Chan, E. Haber, and D. Oldenburg, Geophys. J. Int. (2002) 149, 679--697
  Three-dimensional numerical modelling and inversion of magnetometric resistivity data

   

• 11. U. Ascher and E. Haber, ETNA, 15, (2003), 1-12
  A multigrid method for distributed parameter estimation problems

   

• 10. E. Haber and U. Ascher, Inverse Problems, 17 (2001), 1847-1864:
  Preconditioned all-at-once methods for large, sparse parameter estimation problems

   

• 9. U. Ascher and E. Haber, Inverse Problems, 17 (2001), 571--590:
  Grid refinement and scaling for distributed parameter estimation problems

 

• 8. E. Haber and U. Ascher, SIAM J. Scientific Compututing, 22 (2001), 1943--1961:
  Fast finite volume simulation of 3D electromagnetic problems with highly discontinuous coefficients

   

• 7. E. Haber, U. Ascher, D. Aruliah and D. Oldenburg, J. Comp. Phys., 163 (2000), 150-171:
  Fast simulation of 3D electromagnetic problems using potentials

 

• 6. D. Aruliah, U. Ascher, E. Haber and D. Oldenburg, M3AS 11 (2001), 1-21:
  A method for the forward modelling of 3D electromagnetic quasi-static problems

   

• 5. E. Haber, U. Ascher and D. Oldenburg, Inverse Problems 16 (2000), 1263-1280:
  On Optimization Techniques for Solving Nonlinear Inverse Problems

   

• 4. E. Haber, Computational Geosciences  5, n1, 2001. 56-71: 
  A mixed finite element method for the solution of the magnetostatic problem with highly discontinuous coefficients

   

• 3. E. Haber, D. Oldenburg, Computational Geoscience  4, n1, 2000. 41-63: 
  A GCV Bases method for non-linear ill-posed problems

   

• 2. E. Haber, D. Oldenburg, A. Celler, IEEE Trans. on Nuclear Science, 1998. 2425-2430:
  Direct reconstruction of dynamic parameters in SPECT

   

• 1. E. Haber, D. Oldenburg, Inverse Problems, 13, (1997), 63-77.:
  Joint Inversion A Structural Approach