In a variety of problems involving models from genetics, latent-class analysis, and missing data, I apply a log-linear model to an indirectly observed frequency table. Current algorithms for ...

A Newton-Raphson finite difference solver with multigrid pressure correction. A Fourier pseudospectral solver with hyperviscosity, stochastic forcing, and adaptive time stepping. Both solvers share a ...

Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.

This chapter covers the Newton method that lends itself to iterative learning control (ILC) design in an algebraic setting and permits a direct extension of the lifting approach from linear to ...