PDE-constrained optimization in medical image analysis
PDE-constrained optimization problems find many applications in medical image analysis,
for example, neuroimaging, cardiovascular imaging, and oncologic imaging. We review the …
for example, neuroimaging, cardiovascular imaging, and oncologic imaging. We review the …
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration
With this work we release CLAIRE, a distributed-memory implementation of an effective
solver for constrained large deformation diffeomorphic image registration problems in three …
solver for constrained large deformation diffeomorphic image registration problems in three …
PinT Preconditioner for Forward-Backward Evolutionary Equations
SL Wu, Z Wang, T Zhou - SIAM Journal on Matrix Analysis and Applications, 2023 - SIAM
Solving the linear system is often the major computational burden when a forward-backward
evolutionary equation must be solved in a problem, where is the so-called all-at-once matrix …
evolutionary equation must be solved in a problem, where is the so-called all-at-once matrix …
Interior‐point methods and preconditioning for PDE‐constrained optimization problems involving sparsity terms
Partial differential equation (PDE)–constrained optimization problems with control or state
constraints are challenging from an analytical and numerical perspective. The combination …
constraints are challenging from an analytical and numerical perspective. The combination …
A parallel-in-time block-circulant preconditioner for optimal control of wave equations
SL Wu, J Liu - SIAM Journal on Scientific Computing, 2020 - SIAM
In this paper, we propose a new efficient preconditioner for iteratively solving the large-scale
indefinite saddle-point sparse linear system, which arises from discretizing the optimality …
indefinite saddle-point sparse linear system, which arises from discretizing the optimality …
Numerical optimal control of a size-structured PDE model for metastatic cancer treatment
In this paper, we propose a unified size-structured PDE model for the growth of metastatic
tumors, which extends a well-known coupled ODE-PDE dynamical model developed and …
tumors, which extends a well-known coupled ODE-PDE dynamical model developed and …
CLAIRE: Scalable GPU-Accelerated Algorithms for Diffeomorphic Image Registration in 3D
A Mang - Explorations in the Mathematics of Data Science: The …, 2024 - Springer
We present our work on scalable, GPU-accelerated algorithms for diffeomorphic image
registration. The associated software package is termed CLAIRE. Image registration is a …
registration. The associated software package is termed CLAIRE. Image registration is a …
Preconditioning of discrete state-and control-constrained optimal control convection-diffusion problems
I Dravins, M Neytcheva - Calcolo, 2023 - Springer
We consider the iterative solution of algebraic systems, arising in optimal control problems
constrained by a partial differential equation with additional box constraints on the state and …
constrained by a partial differential equation with additional box constraints on the state and …
Uncertainty propagation of initial conditions in thermal models
The operation of machine tools often demands a highly accurate knowledge of the tool
center point's (TCP) position. The displacement of the TCP over time can be inferred from …
center point's (TCP) position. The displacement of the TCP over time can be inferred from …
Fast solver of optimal control problems constrained by Ohta-Kawasaki equations
RX Li, GF Zhang, ZZ Liang - Numerical Algorithms, 2020 - Springer
This paper is concerned with fast solver of distributed optimal control problems constrained
by a nonlocal Cahn-Hilliard equation. By eliminating the control variable, a linear system on …
by a nonlocal Cahn-Hilliard equation. By eliminating the control variable, a linear system on …