To exploit Hessian information in full-waveform inversion (FWI), the matrix-free truncated Newton method can be used. In such a method, Hessian-vector product computation is one of major concerns due to huge memory requirements and demanding computational cost. Using adjoint-state estimated by zero-lag crosscorrelation first-/second-order incident wavefields second-/first-order adjoint wavefiel...

Baby boomers will begin entering old age in 2011. They will be the largest and most diverse cohort ever to experience this life-course transition. The sheer number of baby boomers has challenged institutions time after time (Dychtwald, 1990). Despite extensive speculation regarding the political, economic, and social impact that the aging of baby boomers will have on American society, no one ha...

We argue that the giant graviton configurations known from the literature have a complementary, microscopical description in terms of multiple gravitational waves undergoing a dielectric (or magnetic moment) effect. We present a non-Abelian effective action for these gravitational waves with dielectric couplings and show that stable dielectric solutions exist. These solutions agree in the large...

We develop a one-Newton-step-per-horizon, online, lag- $L$ , model predictive control (MPC) algorithm for solving discrete-time, equality-constrained, nonlinear dynamic programs. Based on recent sensitivity analysis results the target p...

We develop a parallel fully implicit domain decomposition algorithm for solving optimization problems constrained by time dependent nonlinear partial differential equations. In particular, we study the boundary control of unsteady incompressible Navier-Stokes equations. After an implicit discretization in time, a fully coupled sparse nonlinear optimization problem needs to be solved at each tim...

Newton-step approximations to pseudo maximum likelihood estimates of spatial autoregressive models with a large number parameters are examined, in the sense that parameter space grows slowly as function sample size. These have same asymptotic efficiency properties under Gaussianity but closed form. Hence they computationally simple and free from compactness assumptions, thereby avoiding two not...

We propose a new class of rigorous methods for derivative-free optimization with the aim delivering efficient and robust numerical performance functions all types, from smooth to non-smooth, under different noise regimes. To this end, we have developed methods, called Full-Low Evaluation organized around two main types iterations. The first iteration type (called Full-Eval) is expensive in func...

 In this paper the population for male of rural area in Bangladesh is predicted by using the geometric growth rate method. The predictions are computed in a three-step procedure. In the first step, the prediction are computed using an exponentail model estimated by Quasi-Newton method for the years 1974, 1981, 1991, and 2001 using the package STATISTICA. Using the cross-validation predicti...