Conjugate gradient type methods for ill-posed problems

The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator equations in Hilbert space. This volume summarises and extends the developments of the past decade concerning the applicability of the conjugate gradient method (and some of its variants) to ill posed problems and their regularisation. Such problems occur in applications from almost all natural and technical sciences, including astronomical and geophysical imaging, signal analysis, computerised tomography, inverse heat transfer problems, and many more.