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Multiresolution Methods in Scattered Data Modelling

of multiresolution methods, scattered data modelling, multilevel methods and adaptive irregular sampling. Relevant algorithms and data structures, such as;

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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Geometric Modelling

held at IBFI Schloss Dagstuhl, Germany. Topics treated are: - curve and surface modelling - non-manifold modelling in CAD - multiresolution;

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Modelling and Forecasting Financial Data

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic;

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Binding Constants

. Collects material that has been scattered throughout the literature of several separate fields. Offered here are methods from the areas of acid;

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Multiscale And Multiresolution Approaches In Turbulence

This unique book gives a general unified presentation of the use of the multiscalemultiresolution approaches in the field of turbulence;

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Spatial Cluster Modelling

modelling, bringing together research and applications previously scattered throughout the literature. It begins with an overview of the field, then;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Uncertainty Modelling and Quality Control for Spatial Data

Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information;

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Modelling Binary Data

Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational;

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Modelling Binary Data

Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational;

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Topics in Modelling of Clustered Data

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the;

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Topics in Modelling of Clustered Data

Many methods for analyzing clustered data exist, all with advantages and limitations in particular applications. Compiled from the;

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Machine Learning Methods in the Environmental Sciences

sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general;

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Machine Learning Methods in the Environmental Sciences

sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general;

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Computational Photonics

propagation, bidirectional beam propagation, complex-envelope alternative direction implicit finite difference time domain, multiresolution time;

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Applied modelling and computing in social science

in social science: business and logistic process simulation and optimization, deeper knowledge extractions from big data, better understanding and;

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Resampling Methods for Dependent Data

By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical;

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Laser Scanning Systems in Highway and Safety Assessment: Analysis of Highway Geometry and Safety Using Lidar

information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning;

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Motivated Metamodels

generate large-model data and use off-the-shelf statistical methods without attempting to understand the model's internal workings. This report;

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Object-Oriented Design for Temporal GIS

There has been an increasing demand in GIS for systems that support historical data: time-series data as well as mobility information. From;

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Object-Oriented Design for Temporal GIS

There has been an increasing demand in GIS for systems that support historical data: time-series data as well as mobility information. From;

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Introduction to Imaging from Scattered Fields

Obtain the Best Estimate of a Strongly Scattering Object from Limited Scattered Field Data Introduction to Imaging from Scattered;

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Introduction to Imaging from Scattered Fields

Obtain the Best Estimate of a Strongly Scattering Object from Limited Scattered Field Data Introduction to Imaging from Scattered Fields;

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Methods of Experimental Physics

for interpretation and data processing. Bringing together approaches that have previously been scattered in the literature, the book covers;

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Methods of Experimental Physics

for interpretation and data processing. Bringing together approaches that have previously been scattered in the literature, the book covers;

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