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Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)
Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)
Algebraic Geometry and Geometric Modeling are two distinct domains of research, with few interactions up to now, though closely linked. On the one hand, Algebraic Geometry has developed an impressive theory targeting the understanding of geometric objects defined algebraically. On the other hand, Geometric Modeling is using every day, in practical...
Mathematical Models of Beams and Cables
Mathematical Models of Beams and Cables

Nonlinear models of elastic and visco-elastic onedimensional continuous structures (beams and cables) are formulated by the authors of this title. Several models of increasing complexity are presented: straight/curved, planar/non-planar, extensible/inextensible, shearable/unshearable, warpingunsensitive/ sensitive, prestressed/unprestressed...

Nonparametric Tests for Censored Data
Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most...

Robust Statistics: Theory and Methods (Probability and Statistics)
Robust Statistics: Theory and Methods (Probability and Statistics)
Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...
Nonparametric System Identification
Nonparametric System Identification
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emphasis on Hammerstein, Wiener systems, and their...
Pattern Recognition and Image Preprocessing (Signal Processing and Communication, 14)
Pattern Recognition and Image Preprocessing (Signal Processing and Communication, 14)

Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection, novel...

Handbook of Lasers
Handbook of Lasers
Lasers continue to be an amazingly robust field of activity, one of continually expanding scientific and technological frontiers. Thus today we have lasing without inversion, quantum cascade lasers, lasing in strongly scattering media, lasing in biomaterials, lasing in photonic crystals, a single atom laser, speculation about black hole lasers,...
Implicit Objects Computer Graphics
Implicit Objects Computer Graphics
Implicit definition and description of geometric objects and surfaces plays a critical role in the appearance and manipulation of computer graphics. In addition, the mathematical definition of shapes, using an implicit form, has pivotal applications for geometric modeling, visualization and animation. Until recently, the parametric form has been...
Introduction to the Geometry of Complex Numbers
Introduction to the Geometry of Complex Numbers
The present work briefly develops the lectures which we have given since 1930 to the engineering candidates who chose the section of electromechanics at the Faculte polytechnique de Mons.

A memoir by Steinmetz 1 emphasized the simplifying role that can be played by the geometric interpretation of complex numbers in the
...
Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)
Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)

A comprehensive reference book for practical engineers and researchers focusing on neural network applications on signal processing, this text concerns itself with a vast array of signals. Among included signals, readers will find information on audio, video, speech, communication, geophysical, sonar, radar and medical signals. Written for those...

Ship Stability for Masters and Mates, Sixth Edition
Ship Stability for Masters and Mates, Sixth Edition
Understanding ship stability, the ability of a ship to return to an initial state after disturbing forces and moments, is critical for all maritime students and professionals studying for a deck or engineering certificate of competency, or seeking promotion to a higher rank within the merchant marine or Navy.

The sixth edition of this
...
A Course in Probability and Statistics
A Course in Probability and Statistics

This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...

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