An ADMM numerical approach in shape optimization setting for geometric inverse problems
We propose in this note the application of the alternating direction method of multipliers in shape optimization framework for solving geometric inverse problems. We present some preliminary results illustrating the applicability and efficiency of the method by testing it to some shape detection problems with the focus on unknown inclusions with pronounced concavities and under noisy data. Examples are given in two and three dimensions.