# Jean-Pierre Dussault

Back

### 8 results — page 1 of 1

, , and

In this paper, we compare the BFGS and the conjugate gradient (CG) methods for solving unconstrained problems with a trust-region algorithm. The main result ...

BibTeX reference
, , and

This paper targets a stochastic energy management problem. We first decouple the stochasticity of the global scenarios to local scenarios. Then, we use spat...

BibTeX reference
, , , and

In Positron Emission Tomography (PET), deep crystals (>20 mm) must be used to enhance detection efficiency and increase overall scanner sensitivity. Howeve...

BibTeX reference
, , and

Positron emission tomography (PET) image reconstruction in the presence of periodic motion, such as heartbeat and breathing, has been actively investigated ...


BibTeX reference
and

Adaptative cubic regularization (ARC) methods for unconstrained optimization compute steps from linear systems with a shifted Hessian in the spirit of the mo...

BibTeX reference
, , , and

In this work, we examine how to combine the score function method with the standard crude Monte Carlo and experimental design approaches, in order to evalua...

BibTeX reference
and

It is well-known (see Pang and Chan [7]) that Newton's method, applied to strongly monotone variational inequalities, is locally and quadratically convergent...

BibTeX reference
and

Applied to strongly monotone variational inequality problems, Newton's algorithm achieves local quadratic convergence. However, global convergence cannot be...

BibTeX reference