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Introduction Formulation and Single Grid Implementation Physics-Based Two-Grid Method Numerical Results and Comparison with Second Order Perturbation Method Numerical Simulations of Emissivity of Soils with Rough Surfaces at Microwave Frequencies

4.1 4.2 4.3 4.4 4.5

Humans like to classify things, to nd similarities in things, and to group them accordingly Things with similar attributes (properties) and behaviors (methods) are grouped In object-oriented terminology, the de nition of the properties and methods that describe a particular classi cation is called a class A class de nes a particular object type You can think of a class as a blueprint, providing the details of how objects of that type are made A cookie cutter is another analogy often used to illustrate the relationship between objects and a class The cookie cutter is the class and provides the de nition; it speci es the size and shape The cookies are the objects created from the cookie cutter class For example, an employee class can have name, address, and occupation properties Sam Smith and Jessica Jones are both objects from the employee class Likewise, a time sheet class can have employee, date, and

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Four Stokes Parameters Based on Tangential Surface Fields 350 Parallel Implementation of SMCG on Low Cost Beowulf System

6.1 6.2 6.3 6.4

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2 2.1 2.2 2.3 3 3.1 3.2 4

Foldy-Lax Self-Consistent Multiple Scattering Equations Final Exciting Field and Multiple Scattering Equation Foldy-Lax Equations for Point Scatterers The N-Particle Scattering Amplitude Analytical Solutions of Point Scatterers Phase Function and Extinction Coefficient for Uniformly Distributed Point Scatterers Scattering by Collection of Clusters Monte Carlo Simulation Results of Point Scatterers References and Additional Readings

376 376 379 382 382 382 389 392

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1.1 1.2 1.3

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Pair Distribution Functions and Structure Factors Introduction Percus-Yevick Equation and Pair Distribution Function for Hard Spheres Calculation of Structure Factor and Pair Distribution Function Percus-Yevick Pair Distribution Functions for Multiple Sizes Monte Carlo Simulations of Particle Positions Metropolis Monte Carlo Technique Sequential Addition Method Numerical Results Sticky Particles Percus-Yevick Pair Distribution Function for Sticky Spheres Pair Distribution Function of Adhesive Sphere Mixture Monte Carlo Simulation of Adhesive Spheres

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