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Spectral Methods: Algorithms, Analysis and Applications

of basic convergence theory and error analysis for spectral methods. Readers of this book will be exposed to a unified framework for designing and;

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Spectral Analysis of Signals

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis;

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Spectral Logic And Its Applications For The Design Of Digital Devices

-value functions Spectral analysis of Boolean functions Spectral synthesis and optimization of combinational and sequential devices Spectral;

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Applications of Numerical Methods in Molecular Spectroscopy

of spectral data processing methods. The book discusses methods of complex spectral profile separation into bands, factor analysis methods, methods;

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Theory and Applications of Gaussian Quadrature Methods

Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose;

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Spectral Analysis for Physical Applications

weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to;

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Spectral Analysis for Physical Applications

weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to;

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Spectral Geometry of Shapes

analysisGives insights for developing spectral geometry-based approaches for 3D shape analysis and deep learning of shape geometry

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Spectral Feature Selection for Data Mining

spectral feature selection, its theoretical foundations, its connections to other algorithms, and its use in handling both large-scale data sets;

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Spectral Feature Selection for Data Mining

spectral feature selection, its theoretical foundations, its connections to other algorithms, and its use in handling both large-scale data sets;

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Advanced Methods for Geometric Modeling and Numerical Simulation

well as various aspects of isogeometric methods, e.g. efficient quadrature rules and spectral analysis for isogeometric B-spline;

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Genetic and Evolutionary Methods

Algorithms and Applications + Agent-Based Algorithms Evolutionay Algorithms and Applications + ANN + Forcasting and Time Series Analysis Genetic;

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Fringe Pattern Analysis for Optical Metrology

techniques and the most advanced methods in the field of modern fringe pattern analysis applied to optical metrology. A major novelty of this work;

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Digital Spectral Analysis with Applications

Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral;

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Multi-scale Spectral Analysis in Hydrology

presents a detailed description and application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time;

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Spectral Functions in Mathematics and Physics

last several years, the author and his colleagues have developed new, innovative methods for the exact analysis of a variety of spectral;

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Spectral Functions in Mathematics and Physics

last several years, the author and his colleagues have developed new, innovative methods for the exact analysis of a variety of spectral;

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Inverse Sturm-Liouville Problems & Their Applications

This book presents the main results and methods on inverse spectral problems for Sturm-Liouville differential operators and their;

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Numerical Computations: Theory and Algorithms

of these special sessions: approximation: methods, algorithms, and applications; computational methods for data analysis; first order methods;

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Advances in Swarm Intelligence, Part I

The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI;

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A Brief Introduction to Numerical Analysis

, comparing different methods, and discussing optomistic and pessemistic approaches to numerical analysis. Since matrix analysis underlies;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Microlocal Analysis, Sharp Spectral Asymptotics and Applications V

of partial differential operators using techniques from semiclassical microlocal analysis, in particular, propagation of singularities, and to;

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Spectral Element Method in Structural Dynamics

, background knowledge is set up for the readers by reviewing previous work in the area and by providing the fundamentals for the spectral analysis;

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DirichletDirichlet Domain Decomposition Methods for Elliptic Problems

methods as well as the description and analysis of practical DD algorithms for parallel computing. It is typical to find in this volume that most;

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Digital Spectral Analysis

in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution;

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Numerical Analysis of Spectral Methods

A unified discussion of the formulation and analysis of special methods of mixed initial boundary-value problems. The focus is on the;

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