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A Comparison
Between Two Non-Linear Optimization Methods for Seismic Ray Tracing on
Complex 3D Heterogeneous Geological Media
A
New Fast “General Ray” Method for Solution of Boundary Problems
for Partial
Differential Equations
A
Numerical Method for Three Dimensional Void Electromigration
United Kingdom
A Parallel Algorithm
for Seismic Modeling
Abstract: It is presented a three dimensional simulation
of the organic matter maturation process. The organic matter or kerogen
is placed in sedimentary basins which geological structures change during
the geological time because of the action of compressive tectonic forces.
These structures consist, basically, of two blocks, the allocthone block
and the autocthone block, separated by a fault plane. The allocthone block
overthrusts the autocthone one following a simplified "fault-bend
fold" kinematical model. The temperature of the basins, one of the
most important factors in the kerogen maturation process, is obtained
by an external numerical model based on the finite element method. The
integrals quantifying the amount of kerogen potentially transformable
into hydrocarbon are calculated using the temperature on the basins along
with some rational approximations. The results obtained in this work show
the dependence of the kerogen maturation speed on the organic matter type.
Also, it is detected an important variation in the maturation index at
different locations along and across the basin, mainly on the structures
having a more realistic 3D profile, thus showing the necessity of modeling
the maturation process in 3D rather than in 2D.
Constructing
Mean Square Discrete Solutions for Random Differential Equations
Displacement
of Immiscible Fluids in Porous Media
Envelopes and
Tubular Splines
Eigenvalues
of Linear Operators and its Approximations
Fast Computation
of Equispaced Pareto Manifolds and Pareto Fronts for Unconstrained Multi-Objective
Optimization Problems
In this paper we show that the Pareto manifold for a convex bi-objective problem can be approximated by solving numerically a two-point boundary value problem and from this insight we mimic technics for the solution of such problems to obtain a continuation method that updates a whole discrete representation of the Pareto manifold while maintaining and even spacing between solutions. As an additional bonus this procedure is easily parallelizable. FGMRES
Preconditioning by Symmetric-Antisymmetric Decomposition of Generalized
Stokes Problems
bmolina@kuaimare.ciens.ucv.ve
Fuzzy
Ant Colony Optimization for Estimating the Chlorophyll Concentration Profile
in Offshore Sea Water
Prakki Satyamurtysaty@cptec.inpe.br Otávio C. Acevedo
Abstract: This work concentrates on the Mimetic discretization of elliptic partial differential equations (PDE), derived from the application of Darcy's law to flows in Reservoir Simulation. Numerical solutions are obtained and discussed for one-dimensional equations on uniform and irregular grids and two dimensional equations on uniform grids. The focal point is to develop a scheme incorporated with the full tensor coefficients on uniform grids in 2-D. The results of the numerical examples are then compared to previous well-established methods. Based on its conservative properties and global second order of accuracy, this Mimetic scheme shows higher precision in the tests given, especially on the boundaries.
Multiscale
Analysis by Discrete Mollification
Nonstandard
Methods for More General Reaction Terms
Numerical
Modeling of Hydrodynamic Processes Forced by Wind and Tide in the Paracas
Bay Pisco-Perú
Key words: Paracas Bay, numerical model, hydrodynamics Numerical
Simulation of a Degenerate PDE Model for the Formation of TCE Degrading
Dual-Species Biofilms
Department of Mathematics and Statistics
Numerical
Solution of Test Neutral Functional Differential Equations with the
Segmented Formulation of the Tau Method
This equation represents, for different values of a, b, c and ?, a family of functional differential equations. It is a generalization of the well-known logistic equation that has been used as a model in population dynamics for single species population growth. Simplified versions of this problem have recently been studied (see [1] and [2]). The Tau method introduced by Lanczos [3] is an important example of how to get approximations of functions defined by a differential equation. In the formulation of a step by step Tau version is expected that the error is minimized at the matching points of successive steps. Through the study of some recent papers ([2], [4], [5]) it seems to be demonstrated that the segmented Tau approximation is a natural and promising strategy in the numerical solution of functional differential equations. Preliminary numerical experiments are consistent with the theorical results reported elsewhere.
Numerical
Treatment of an Inverse Problem for a Strongly Degenerate Parabolic
Equation
On a Method for Constructing
the Shallow-Water Discrete Models Conserving the Total Mass and Energy
Results of numerical experiments are
discussed. In particular, it is shown that although the discrete models
conserve the entrophy only approximately, its oscillations are rather
small.
On
Generation of Conformal Mappings of Spherical Domains
On
the Parameter Selection Problem in the Newton-ADI Iteration for Large
Scale Riccati Equations
Optimal
Power Split in a Hybrid Electric Vehicle Using Direct Transcription of
an Optimal Control Problem
Optimization
of Solar Low Energy Building Design
Orthogonal
Polytopes Modeling Through the Extreme Vertices Model in the n-Dimensional
Space
The purpose of this presentation is to show the way the Extreme Vertices Model allows representing nD-OPPs by means of a single subset of their vertices: the Extreme Vertices. It will be seen how the Odd Edge Combinatorial Topological Characterization in the nD-OPPs has a paramount role in the foundations of the EVM-nD. Although the EVM of an nD-OPP has been defined as a subset of the nD-OPP's vertices, there is much more information about the polytope hidden within this subset of vertices. We will show the procedures and algorithms in order to obtain this information. Out-of-Core
layer of UCSparseLib
Parameter
Identification of Nonlinear Dynamical Models by Using Differential Evolution
Algorithms
Preconditioning
Techniques for Saddle Points Problems
Sphere
Inversion and 3D Lemniscates Singularities
The
Method of Meshless Fundamental Solutions for the Pressure Equation in
Oil Field Problems
Universidad Simón Bolívar.Sartenejas, Baruta, Edo. Miranda, Caracas, Venezuela
The
Simulation of The Circulation in Todos Santos Bay, Mexico
Transformation
Algorithm of a Matrix that Determines the Stability in Square Mean of
a Dynamical Input-Output System
Water
Uptake by Root of Croops: A Moving Boundary Approach
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