Now showing items 475-494 of 57164

• #### A general kinetic model: Kinetics and atomic-scale mechanisms of feldspar dissolution ﻿

(2008)
This thesis presents a general kinetic model and its application to feldspar dissolution. In the framework of Monte Carlo methods, the model simulates the stochastic processes of feldspar dissolution by incorporating bond ...
• #### A GENERAL MODEL FOR MULTIPHASE MIXTURES AND APPLICATIONS ﻿

(1984)
A general model for a multiphase mixture is developed within the framework of the theory of mixtures formulated by BOWEN. Each phase in the mixture is considered to be a mixture itself, composed of multiple substances with ...
• #### A generalization in integral form of certain Tauberian theorems ﻿

(1942)
The purpose of this paper is to generalize in integral form certain Tauberian theorems, Tauber, Hardy, Littlewood, and landau were among the first to investigate the problem of finding sufficient conditions for the convergence ...

(1966)
• #### A generalized trust region SQP algorithm for equality constrained optimization ﻿

(2004)
We introduce and analyze a class of generalized trust region sequential quadratic programming (GTRSQP) algorithms for equality constrained optimization. Unlike in standard trust region SQP (TRSQP) algorithms, the optimization ...
• #### A generic study of Maria Zambrano's "Delirio y destino": "Delirio y destino" as an auto-biography ﻿

(2004)
Critics have appointed various genres to Maria Zambrano's Delirio y destino. I write that Delirio y destino creates a new genre. The most encompassing generic framework for Delirio y destino is auto-biography, or an ...
• #### A genetic study of inebriated, a Drosophila gene that physical dual roles in the control of neuronal excitability and the osmotic stress response ﻿

(2002)
The Drosophila inebriated (ine) gene encodes a putative transporter (Ine) that shares high homology to members of the Na+/Cl- dependent neurotransmitter transporter family. Mutations in the ine gene were found to cause ...
• #### A geochemical investigation of the Pre-Cambian Knife Lake Series, northeastern Minnesota ﻿

(1969)
A geochemical study was made of the Precambrian eugeosynclinal graywackes and slates of the Knife Lake Series in northeastern Minnesota. Unlike some other graywacke sequences, these sedimentary rocks show no systematic ...
• #### A geochemical investigation of the Valley Spring gneiss and Packsaddle schist, Llano Uplift, Texas ﻿

(1962)
Samples of the Valley Spring gneiss and Packsaddle schist were taken along two profiles in northern and south-eastern Llano County, Texas. These samples were analyzed for the major oxides, thorium, and uranium. A comparison ...
• #### A geological and geophysical investigation of sedimentation and recent glacial history in the Gerlache Strait region, Graham Land, Antarctica ﻿

(1988)
Piston cores, bottom grabs, and single-channel seismic data acquired during Deep Freeze/USARP cruises have been used to examine sedimentation and recent climatic history in the bays and fjords of the Gerlache Strait region ...
• #### A geometric solution of rotational flow fields ﻿

(1967)
This paper presents a geometric method of solving rotational flow fields. As a prior condition for this method to be applicable, streamlines must be known along the two boundaries of the flow region in question. This method ...
• #### A geometry for detection theory ﻿

(1993)
The optimal detector for a binary detection problem under a variety of criteria is the likelihood ratio test. Despite this simple characterization of the detector, analytic performance analysis in most cases is difficult ...
• #### A GLOBAL APPROACH TO DETECTION OF PARALLELISM (COMPILERS) ﻿

(1987)
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques to automatically detect and exploit parallelism have been shown effective for computers with vector capabilities. To ...
• #### A global convergence theory for a class of trust region algorithms for constrained optimization ﻿

(1988)
In this research we present a trust region algorithm for solving the equality constrained optimization problem. This algorithm is a variant of the 1984 Celis-Dennis-Tapia algorithm. The augmented Lagrangian function is ...
• #### A global convergence theory for a general class of trust region algorithms for equality constrained optimization ﻿

(1993)
This work is concerned with global convergence results for a broad class of trust region sequential quadratic programming algorithms for the smooth nonlinear programming problem with equality constraints. The family of ...
• #### A GLOBAL CONVERGENCE THEORY FOR ARBITRARY NORM TRUST REGION METHODS FOR NONLINEAR EQUATIONS ﻿

(1987)
In this research we extend the Levenberg-Marquardt algorithm for approximating zeros of the nonlinear system F(x) = 0, where F is continuously differentiable from ${\rm I\!R}\sp{n}$ to ${\rm I\!R}\sp{n}.$ Instead of the ...
• #### A global magnetic potential model for Venus' ionosphere ﻿

(1999)
Venus represents the prototype for a class of objects whose interaction with the solar wind is characterized by the dominance of an ionospheric obstacle to the magnetized plasma. Though the interaction region between the ...
• #### A global model of thunderstorm electricity and the prediction of whistler duct formation ﻿

(1989)
A two-dimensional numerical model is created to calculate the electric field and current that flow from a thunderstorm source into the global electrical circuit. The model includes a hemisphere in which the thunderstorm ...
• #### A global optimization technique for zero-residual nonlinear least-squares problems ﻿

(2000)
This thesis introduces a globalization strategy for approximating global minima of zero-residual least-squares problems. This class of nonlinear programming problems arises often in data-fitting applications in the fields ...
• #### A globally convergent algorithm for training multilayer perceptrons for data classification and interpolation ﻿

(1991)
This thesis addresses the issue of applying a "globally" convergent optimization scheme to the training of multi-layer perceptrons, a class of Artificial Neural Networks, for the detection and classification of signals in ...