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Statistical Methods in Engineering and Quality Assurance

, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work.;

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Orthogonal Methods For Array Synthesis

The first time that such a complete systematic analysis of the mathematical and numerical techniques related to the orthogonal methods has;

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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach

basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while;

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Fractional Factorial Plans

A one-stop reference to fractional factorials and related orthogonal arrays. Presenting one of the most dynamic areas of statistical;

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Graphs of Elementary and Special Functions Handbook

integrals, Bessel functions, orthogonal polynomials, elliptic functions, Mathieu functions, etc). The book contains 760 figures and uses material;

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A Course of Applied Mathematics for Engineers and Physicists

in mind. THE MAIN TOPICS DISCUSSED ARE: Linear and non linear Algebra Topology (Topological and Metric spaces, Convexity Connexity, Orthogonal;

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The Coordinate-Free Approach to Linear Models

This book is about the coordinate-free, or geometric, approach to the theory of linear models; more precisely, Model I ANOVA and linear;

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Linear Systems Properties

; clearly explains real and complex matrix differentiation methods; provides an unusual amount of orthogonal functions; and presents properties;

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Theory of Linear Operations

his contributions to measure theory, integration, and orthogonal series. In this volume, he articulates the theory of linear operators;

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Hilbert Space, Boundary Value Problems and Orthogonal Polynomials

postgraduate students and researchers interested in boundary value problems of linear differential equations or in orthogonal polynomials.;

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Orthogonal Functions

Oulines an array of recent work on the analytic theory and potential applications of continued fractions, linear functionals, orthogonal;

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Orthogonal Functions

Oulines an array of recent work on the analytic theory and potential applications of continued fractions, linear functionals, orthogonal;

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Spectral Clustering And Biclustering

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between;

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Electromagnetics and Antenna Optimization using Taguchi's Method

optimum solutions. Taguchi's optimization method is developed based on the orthogonal array (OA) concept, which offers a systematic and;

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Orthogonal Sets And Polar Methods In Linear Algebra

methodologies and algorithms based on the concept of orthogonality and demonstrates their application to both standard and novel problems in linear;

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Data Structures using Python

on Non-linear Data Structures where Heap, Hash Table, Trie, and Disjoint Sets are discussed. Trees, though a non-linear data structure;

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Mathematical Methods for Partial Differential Equations

techniques for some easy to solve partial differential equations. Chapter two introduces orthogonal functions and Sturm-Liouville systems. Chapter;

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Mathematics For Quantum Mechanics

.Concise in its presentation, this text covers eigenvalue problems in classical physics, orthogonal functions and expansions, the Sturm;

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Graphs for Pattern Recognition

. By using combinatorial and graph theoretic techniques, a closer look is taken at infeasible systems of linear inequalities, whose generalized;

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Orthogonal Polynomials

This is the first book on constructive methods for, and applications of orthogonal polynomials, and the first available collection;

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Encyclopedia of Mathematics and its Applications

of matrix theory and linear algebra in proving results in combinatorics (and vice versa), and with the intrinsic properties of matrices viewed as;

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Linear Algebra and Matrix Analysis for Statistics

Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the;

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Combinatorial Matrix Theory

of matrix theory and linear algebra in proving results in combinatorics (and vice versa), and with the intrinsic properties of matrices viewed as;

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Designing for Quality

improve products and processes. A prerequisite is an appreciation for the concept of random variation, gained through a typical statistics course;

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Taguchi on Robust Technology Development

The term Taguchi methods was coined in the United States. It pertains to the evaluation and improvement of the robustness of products;

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Techniques for Searching, Parsing, and Matching

In this book the author presents some techniques for exploring trees and graphs. He illustrates the linear search technique and the;

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