Daily Archives: March 3, 2023

5 posts

MOX Report on A multigrid method for PDE-constrained optimization with uncertain inputs

A new MOX report entitled “A multigrid method for PDE-constrained optimization with uncertain inputs” by Ciaramella, G.; Nobile, F.; Vanzan, T. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/20/2023.pdf Abstract: We present a multigrid algorithm to solve efficiently the large saddle-point […]

MOX Report on Radiomics-based Inter-lesion Relation Network to Describe 18FFMCH PET/CT Imaging Phenotypes in Prostate Cancer

A new MOX report entitled “Radiomics-based Inter-lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer” by Cavinato, L.; Sollini, M.; Ragni, A.; Bartoli, F.; Zanca, R.; Pasqualetti, F.; Marciano, A.; Ieva, F.; and Erba, A.P. has appeared in the MOX Report Collection. The report can be donwloaded […]

MOX Report on Designing dielectric-elastomer balloons with tunable shapes in response to electro-mechanical stimuli

A new MOX report entitled “Designing dielectric-elastomer balloons with tunable shapes in response to electro-mechanical stimuli” by Su, Y.; Riccobelli, D.; Chen, Y; Chen, W; Ciarletta, P has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/22/2023.pdf Abstract: Designing smart devices with tunable […]

MOX Report on The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest

A new MOX report entitled “The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest” by Bertoletti, A.; Cannistrà, M.; Diaz Lema, M.; Masci, C.; Mergoni, A.; Rossi, L.; Soncin, M. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/23/2023.pdf […]

MOX Report on Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible

A new MOX report entitled “Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible” by Costa, G.; Cavinato, L.; Fiz, F.; Sollini, M.; Chiti, A.; Torzilli, G.; Ieva, F.; Viganò, L. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/24/2023.pdf Abstract: […]