The class of Linear Inversion Transduction Grammars (LITGs) is introduced, and used to induce a word alignment over a parallel corpus. We show that alignment via Stochastic Bracketing LITGs is considerably faster than Stochastic Bracketing ITGs, while still yielding alignments superior to the widelyused heuristic of intersecting bidirectional IBM alignments. Performance is measured as the trans...

Linear algebraic techniques are widely used in scientific computing, often requiring large-scale parallel resources such as those provided by the ARCHER service. Libraries exist to facilitate the development of appropriate parallel software, but use of these involves intricacies in decomposition of the problem, managing parallel input and output, passing messages and the execution of the linear...

Nonlinear congruential pseudorandom number generators based on inversions have recently been introduced and analyzed. These generators do not show the lattice structure of the widely used linear congruential method. In the present paper it is proved that the points formed by d consecutive pseudorandom numbers of an inversive congruential generator with prime modulus possess an even stronger pro...

[1] The Global Positioning System (GPS) system now makes it possible to monitor deformation of the Earth’s surface along plate boundaries with unprecedented accuracy. In theory, the spatiotemporal evolution of slip on the plate boundary at depth, associated with either seismic or aseismic slip, can be inferred from these measurements through some inversion procedure based on the theory of dislo...

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...

We revisit the issue of non-parametric gravitational lens reconstruction and present a new method to obtain the cluster mass distribution using strong lensing data without using any prior information on the underlying mass. The method relies on the decomposition of the lens plane into individual cells. We show how the problem in this approximation can be expressed as a system of linear equation...

This paper proposes a new state feedback control design for uniformly controllable linear time-varying systems. The new design is based on a nonlinear state transformation that converts the stabilization problem of the system state into a destabilization problem of the transformed state. Such a transformation results in a new control that has two advantages over previous controls. (1) In some o...

Semi-analytic inversions of remotely-sensed reflectance have been available since 1995 (Roesler and Perry, 1995). However, a procedure that provides an uncertainty of the inverted parameter for each individual spectrum based on uncertainties in the remote-sensing data and the model has only recently been devised (Wang et al., 2005). We use the same model philosophy as in Wang et al. (2005) with...

We revisited Cauchy Machine for solving blind space-variant imaging problem on the pixel by pixel basis. Under-determinacy of the pixel by pixel blind-matrix inversion was accomplished non-statistically by a physicsconstraint of open information systems in a dynamic balance by minimizing the thermodynamics free energy H=U-T0S where U is estimation error energy, T0 is temperature and S is the en...

The objective of seismic imaging is to obtain an image of the subsurface reflectors, which is very important for estimating whether a reservoir is beneficial for oil/gas exploration or not. It can also provide the relative changes or absolute values of three elastic parameters: compressional wave velocity Vp, shear wave velocity Vs , and density ρ. Two ways can achieve the objectives. In approa...