The pseudospectrum descent method (PsDM) is proposed, a new parallel method for the computation of pseudospectra. The idea behind the method is to use points from an already existing pseudospectrum level curve oK to generate in parallel the points of a new level curve oKd such that d < . This process can be continued for several steps to approximate several pseudospectrum level curves lying ins...

Acquisition and processing of multifold groundpenetrating radar (GPR) data enable detailed measurements of lateral velocity variability. The velocities constrain interpretation of subsurface materials and lead to significant improvement in image accuracy when coupled with prestack depth migration (PSDM). Reflection tomography in the postmigration domain was introduced in the early 1990s for vel...

Extremely small iron oxide nanoparticles (ESIONPs), which have a switchable contrast signal and favorable biocompatibility, are gaining considerable attention as smart magnetic resonance imaging (MRI) agents (CAs). Adaptive MRI CAs could improve the accuracy of tumor diagnosis because they realize rapid conversion under an endogenous stimulus. Herein, based on hydrophilic to hydrophobic transit...

When accompanied by the appropriate algorithmic approach, seismic imaging is an application that can take advantage of massively parallel computer systems. Three-dimensional (3D) prestack time migration (PSTM) and pre-stack depth migration (PSDM) are key components of seismic imaging and require very large computing resources. In this paper, we show that execution of these algorithms can be dra...

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We present in this paper a parallel software design approach for developing synchronous and deterministic parallel applications. The approach is supported by a graph-ical design model (called PSDM) which serves as a visualization tool for representing and analyzing the application design prior to implementation. The main advantage in using the model is that it identiies clearly the time spent i...

Seismic fragility analysis is an efficient method to evaluate the structural failure probability during earthquake events. Among existing methods, probabilistic seismic demand model (PSDM) and joint (JPSDM) are generally used compute component system fragility, respectively. However, statistical significance behind parameters related current PSDM JPSDM not comparable. Aside from that, when calc...

The purpose of this paper is twofold. Firstly, we provide explicit and compact formulas for computing both Caputo and (modified) Riemann-Liouville (RL) fractional pseudospectral differentiation matrices (F-PSDMs) of any order at general Jacobi-Gauss-Lobatto (JGL) points. We show that in the Caputo case, it suffices to compute F-PSDM of order μ ∈ (0, 1) to compute that of any order k + μ with in...

The northwestern Gulf of Mexico basin has emerged as an archetype example of a robust, progradational passive margin system that induces substantial translation over underlying detachments due to gravitational loading. Despite this recognition, the difficulties in deep imaging of seismic data have continued to obscure key features of this deformation. Megaregional, 2D, long-offset PSDM data hel...

This paper proposes surrogate models (or metamodels) mapping the parameters controlling dynamic behaviour of inelastic single-degree-of-freedom (SDoF) systems (i.e., force-displacement capacity curve, hysteretic behaviour) and their probabilistic seismic demand model (PSDM, i.e., conditional distribution an engineering parameter [EDP] given a ground-motion intensity measure [IM]). These metamod...