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Principles and Applications of Dimensional Analysis and Similarity

dimensional analysis theorems and similarity criteria. There is also the analysis of self-similarity, both of first and second kind, with a couple;

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Dimensional Analysis and Similarity in Fluid Mechanics

approach, before addressing the similarity of flows. Dimensional Analysis and Similarity in Fluid Mechanics proposes a scale model and presents;

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Dimensional Analysis and Scale-up in Chemical Engineering

be done with partial similarity methods. Standard textbooks often neglect topics like dimensional analysis, theory of similarity and scale-up;

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Similarity Search and Applications

sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality;

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Fractal Patterns in Nonlinear Dynamics and Applications

-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which;

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Fractal Patterns in Nonlinear Dynamics and Applications

-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which;

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Application Of Dimensional Analysis In Systems Modeling And

include dimensional analysis and dimensional similarity, dynamical systems dimensionless representation, dimensionless systems identification and;

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Dimensional Analysis Of Food Process

of similarity, dimensional analysis is indeed a generic, powerful and rigorous tool making it possible to understand and model complex processes for;

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Similarity Search and Applications

issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are;

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Applied Dimensional Analysis and Modeling

Applied Dimensional Analysis and Modeling provides the full mathematical background and step-by-step procedures for employing dimensional;

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Comparative Cardiovascular Dynamics of Mammals

of the different mammalian species. This text explores classic allometry, dimensional analysis, and modern hemodynamics to establish similarity;

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Advances in Chemistry Research

their applications in the transfer of hydrogenation. Following this, the progress in applications of dimensional analysis and similarity theory;

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Quantum Probability And Infinite Dimensional Analysis - Proceedings Of The 26th Conference

This volume contains the latest results in the fields of quantum probability and infinite dimensional analysis. The contributions range;

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Handbook of Optical Metrology

applications, interference microscopy for surface structure analysis, noncontact dimensional and profile metrology by video measurement, and optical;

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Handbook of Optical Metrology

applications, interference microscopy for surface structure analysis, noncontact dimensional and profile metrology by video measurement, and optical;

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Three Dimensional QSAR

in toxicology and ecotoxicology for hazard identification and risk assessment. Providing up-to-date coverage of the field, Three Dimensional QSAR;

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Three Dimensional QSAR

in toxicology and ecotoxicology for hazard identification and risk assessment. Providing up-to-date coverage of the field, Three Dimensional QSAR;

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Similarity-Based Pattern Recognition

. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data;

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Scaling

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Scaling

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Flow Deformation & Fracture

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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One-Dimensional Nanostructures

Reviews the latest research breakthroughs and applications Since the discovery of carbon nanotubes in 1991, one-dimensional nanostructures;

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Cambridge Texts in Applied Mathematics

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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High-dimensional Data Analysis

-dimensional data analysis to explore key ideas for statistical inference and prediction.It is structured around topics on multiple hypothesis testing;

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Statistical Analysis of Graph Structures in Random Variable Networks

measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also;

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Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition

of Hadamard-related ideas to the design and analysis of one-dimensional sequences and two-dimensional arrays. The theory and ideas of Hadamard;

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