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         Fourier Analysis:     more books (100)
  1. Outline of Fourier analysis, including problems with step-by-step solutions (Unitech outlines) by Hwei P Hsu, 1967
  2. An Introduction to Wavelet Analysis by David F. Walnut, 2001-09-27
  3. Fourier Analysis and Boundary Value Problems by Enrique A. Gonzalez-Velasco, 1996-12-02
  4. Practical Fourier Analysis for Multigrid Methods (Numerical Insights) by Roman Wienands, Wolfgang Joppich, 2004-10-28
  5. Introduction to Calculus and Analysis, Vol. 1 (Classics in Mathematics) by Richard Courant, Fritz John, 1998-12-22
  6. Mathematical Principles of Signal Processing: Fourier and Wavelet Analysis by Pierre Bremaud, 2010-11-02
  7. Applications of Discrete and Continuous Fourier Analysis by H. Joseph Weaver, 1992-05
  8. Principles of Harmonic Analysis (Universitext) by Anton Deitmar, Siegfried Echterhoff, 2008-11-21
  9. Principles of Fourier Analysis (Studies in Advanced Mathematics) by Kenneth B. Howell, 2001-05-18
  10. Real Analysis and Applications: Including Fourier Series and the Calculus of Variations by Frank Morgan, 2005-12-06
  11. Fourier Methods in Imaging (The Wiley-IS&T Series in Imaging Science and Technology) by Roger L. Easton Jr., 2010-07-06
  12. Analysis (Graduate Studies in Mathematics) by Elliott H. Lieb, Michael Loss, 2001-03-21
  13. Fourier Analysis and Its Applications (Graduate Texts in Mathematics) by Anders Vretblad, 2010-11-02
  14. A Guide to Distribution Theory and Fourier Transforms by Robert S. Strichartz, 2003-09

61. Fourier Analysis And Partial Differential Equations - Cambridge University Press
A modern introduction to fourier analysis and partial differentialequations; aimed at beginning graduate students.
http://books.cambridge.org/052162116X.htm
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Fourier Analysis and Partial Differential Equations
Rafael José Iorio, Jr, Valéria de Magalhães Iorio
Paperback In stock This modern introduction to Fourier analysis and partial differential equations is intended to be used with courses for beginning graduate students. With minimal prerequisites the authors take the reader from fundamentals to research topics in the area of nonlinear evolution equations. The first part of the book consists of some very classical material, followed by a discussion of the theory of periodic distributions and the periodic Sobolev spaces. The authors then turn to the study of linear and nonlinear equations in the setting provided by periodic distributions. They assume only some familiarity with Banach and Hilbert spaces and the elementary properties of bounded linear operators. After presenting a fairly complete discussion of local and global well-posedness for the nonlinear Schrödinger and the Korteweg-de Vries equations, they turn their attention, in the two final chapters, to the non-periodic setting, concentrating on problems that do not occur in the periodic case.
Contents
Part I. Fourier Series and Periodic Distributions: 1. Preliminaries; 2. Fourier series: basic theory; 3. Periodic distributions and Sobolev spaces; Part II. Applications to Partial Differential Equations: 4. Linear equations; 5. Nonlinear evolution equations; 6. The Korteweg-de Vries; Part III: 7. Distributions, Fourier transforms and linear equations; 8. KdV, BO and friends; Appendix A. Tools from the theory of ODEs; Appendix B. Commutator estimates; Bibliography; Index.

62. No Match For Fourier Analysis
No match for fourier analysis. Sorry, the term fourier analysis is not in the dictionary.Check the spelling and try removing suffixes like ing and -s .
http://wombat.doc.ic.ac.uk/foldoc/foldoc.cgi?Fourier analysis

63. MS203: Fourier Analysis 1
MS203 fourier analysis 1. Module Specification. Homework. LectureNotes. Continuous Assessment. Exam Papers DCU link Choose search
http://webpages.dcu.ie/~clancym/MS203/MS203.html
MS203: Fourier Analysis 1
Module Specification Homework Lecture Notes Continuous Assessment ... Exam Papers [DCU link: Choose "search by module", enter MS2 and hit return] Michael Clancys Home Page Updated by Carmel Reid on April 10, 2003

64. Course On Fourier Analysis And Distribution Theory
Course on fourier analysis and Distribution theory September December 2002. Generalinformation. Name of course fourier analysis and Distribution theory
http://remote.science.uva.nl/~thk/edu/fourier/
Course on Fourier analysis and Distribution theory: September - December 2002
  • general information
  • information about specific sessions
    General information
    Name of course : Fourier analysis and Distribution theory Course code : OWIN W406 Time: Monday 13.15-16.00, room P.015B, Euclides building First session: Monday 2 September 2002, 13.15 hour, room P.015B. This is only for discussing the way this course will be organized. Detailed treatment of material will start on 9 September. Last session: Monday 6 Janaury 2003, 13.15 hour. Lecturer T.H. Koornwinder , email thk@science.uva.nl
    Prerequisites
    Required: elementary real analysis, elementary Hilbert space theory
    Helpful: Lebesgue integration theory, elementary Banach space theory, elementary complex analysis
    Contents : Fourier series, Fourier integrals, wavelets, distributions, tempered distributions Form of teaching : Lecture/reading course (first two hours of each session), exercise class (last hour of each session), some additional exercises using a computer algebra package

65. RXTE Cook Book: Fourier Analysis Of PCA Data And Searches For High-Frequency QPO
RXTE GOF, fourier analysis of PCA Data and Searches for HighFrequency QPO Recipesfrom the RXTE Cook Book, RXTE FAQ. Preparing your Data for fourier analysis.
http://heasarc.gsfc.nasa.gov/docs/xte/recipes/pca_fourier.html
Skip navigation and go to page content
-Archive Interfaces- Argus: proposal info Astrobrowse: worldwide catalog search Browse: search HEASARC archives SkyMorph: search variable objects SkyView: virtual observatory CalDB: Calibration database Coord Converter Date Converter Energy Converter FITS: standard data format FITSIO: FITS subroutine library FTOOLS: general s/w for FITS files fV: FITS file editor Hera: remote data analysis service nH: Column Density RPS proposal submission RXTE ASM weather map Time Converter TIPTOPbase: atomic data Viewing: possible obs times WebPIMMS: flux/cnt converter WebSpec: spectral sims X-ray Background Tool Xanadu: data analysis suite X-ray, Gamma-ray, EUV Source Finder xTime: RXTE time converter HEASARC Resources/Education -Resources/Education- Contact Info APOD: Astronomy Picture of the Day Ask an Astronomer Bibliography HEASARC Pict of the Week History of High-Energy Astronomy Images, Spectra, Light curves Imagine the Universe! Legacy Journal Meetings Resources Staff StarChild (K-8 EPO) Tour the site WebStars: gen. astronomy info/news

66. Extended Local Fourier Analysis For Multigrid: Optimal Smoothing, Coarse Grid Co
Wienands, Roman Extended Local fourier analysis for Multigrid Optimal Smoothing,Coarse Grid Correction, and Preconditioning 2001, 184 pages, fee EUR 10, RS
http://www.gmd.de/publications/research/2001/020/
GMD Research Series No. 20 / 2001
Wienands, Roman
Extended Local Fourier Analysis for Multigrid: Optimal Smoothing, Coarse Grid Correction, and Preconditioning
2001, 184 pages, fee EUR 10,-
RS-SCAI-2001-20 Abstract Multigrid methods are fast iterative solvers for partial di erential equations. Especially for elliptic equations they have been proven to be highly e cient. For problems with nonelliptic and nonsymmetric featuresas they often occur in typical real life applicationsa rigorous mathematical theory is generally not available. For such situations Fourier smoothing and two-grid analysis can be considered as the main analysis tools to obtain quantitative convergence estimates and to optimize different multigrid components like smoothers or inter-grid transfer operators. In general, it is difficult to choose the correct multigrid components for large classes of problems. A popular alternative to construct a robust solver is the use of multigrid as a preconditioner for a Krylov subspace acceleration method like GMRES.
The theoretical considerations are validated by numerical test calculations.

67. Fourier Analysis
fourier analysis. fourier analysis is fundamental to understanding thebehavior of signals and systems. This is a result of the fact
http://cnx.rice.edu/content/m10096/latest/
Fourier Analysis VIEW ABOUT HISTORY PRINT Summary: Lists the four Fourier transforms and when to use them. Note: This browser cannot display MathML. To be able to view the math on this page, please consider using another browser, such as Mozilla or Microsoft Internet Explorer 5.5 or above MathPlayer required for IE). Fourier analysis is fundamental to understanding the behavior of signals and systems. This is a result of the fact that sinusoids are FIX ME - Eigenfunctions of linear, time-invariant (LTI) systems. This is to say that if we pass any particular sinusoid through a LTI system, we get a scaled version of that same sinusoid on the output. Then, since Fourier analysis allows us to redefine the signals in terms of sinusoids, all we need to do is determine how any given system effects all possible sinusoids (its transfer function ) and we have a complete understanding of the system. Furthermore, since we are able to define the passage of sinusoids through a system as multiplication of that sinusoid by the transfer function at the same frequency, we can convert the passage of any signal through a system from convolution (in time) to multiplication (in frequency). These ideas are what give Fourier analysis its power.

68. Fourier Analysis Of Periodic, Discrete-Time Signals
fourier analysis of Periodic, DiscreteTime Signals.
http://cnx.rice.edu/content/m10784/latest/
Fourier Analysis of Periodic, Discrete-Time Signals VIEW ABOUT HISTORY PRINT Summary: This modules derives the Discrete-Time Fourier Sereis (DTFS), which is a fourier series type expansion for discrete-time, periodic functions. The module also takes some time to review complex sinusoids which will be used as our basis. Note: This browser cannot display MathML. To be able to view the math on this page, please consider using another browser, such as Mozilla or Microsoft Internet Explorer 5.5 or above MathPlayer required for IE). Introduction By now you should be familiar with the derivation of the Fourier series for continuous-time, periodic functions. This derivation leads us to the following equations that you should be quite familiar with: Math display error. See note. Math display error. See note. where Math display error. See note. tells us the amount of frequency Math display error. See note. in Math display error. See note. In this module, we will derive a similar expansion for discrete-time, periodic functions. In doing so, we will derive the Discrete Time Fourier Series (DTFS), or the

69. Fourier Analysis Of Stabilized
fourier analysis of Stabilized Q 1 Q 1 Mixed Finite Element Approximation.Sean Norburn, David Silvester. Abstract. We use Fourier
http://epubs.siam.org/sam-bin/dbq/article/36227
Q Q Mixed Finite Element Approximation SIAM Journal on Numerical Analysis
Volume 39, Number 3

pp. 817-833
Fourier Analysis of Stabilized Q Q Mixed Finite Element Approximation
Sean Norburn, David Silvester
Abstract. Q Q Mixed Finite Element Approximation: SIAM Journal on Numerical Analysis Vol. 39, Iss. 3 We use Fourier analysis to investigate the instability of an equal-order mixed finite element approximation method for elliptic incompressible flow equations. The lack of stability can be attributed to the fact that the associated discrete LadyzhenskayaBabuskaBrezzi (LBB) constant tends to zero as the mesh size is reduced. We develop a stabilization approach that is appropriate to the periodic setting and deduce optimal choices of the associated stabilization parameter. Key words. finite element, mixed approximation, stabilization AMS Subject Classifications PII
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70. On Three-Grid Fourier Analysis For Multigrid
On ThreeGrid fourier analysis for Multigrid. Roman Wienands, Cornelis W. Oosterlee. Inthis paper, we present three-grid fourier analysis for multigrid methods.
http://epubs.siam.org/sam-bin/dbq/article/37367
SIAM Journal on Scientific Computing
Volume 23, Number 2

pp. 651-671
On Three-Grid Fourier Analysis for Multigrid
Roman Wienands, Cornelis W. Oosterlee
Abstract. In this paper, we present three-grid Fourier analysis for multigrid methods. Due to the recursive structure of a multigrid iteration, this analysis can be deduced from the well-known two-grid Fourier analysis. The coarse grid correction part of multigrid algorithms can be more accurately evaluated with the three-grid analysis. We apply the analysis to several scalar equations and discretizations with an emphasis on problems with a multigrid coarse grid correction difficulty like upwind discretizations of the convection diffusion equation. The main focus lies on possible improvements by carefully chosen Galerkin operators and/or by an additional acceleration with restarted GMRES, GMRES($m$). Numerical test calculations validate the theoretical predictions. Key words. Fourier analysis, multigrid, coarse grid correction, restarted GMRES AMS Subject Classifications PII
Retrieve PostScript document ( 37367.ps

71. MICROLOCAL ANALYSIS AND COMPLEX FOURIER ANALYSIS
MICROLOCAL ANALYSIS AND COMPLEX fourier analysis edited by Takahiro Kawai (KyotoUniversity, Japan) Keiko Fujita (Saga University, Japan) This book is a
http://www.wspc.com/books/mathematics/5098.html
Home Browse by Subject Bestsellers New Titles ... Browse all Subjects Search Keyword Author Concept ISBN Series New Titles Editor's Choice Bestsellers Book Series ... Join Our Mailing List MICROLOCAL ANALYSIS AND COMPLEX FOURIER ANALYSIS
edited by Takahiro Kawai (Kyoto University, Japan) (Saga University, Japan)
This book is a collection of original papers on microlocal analysis, Fourier analysis in the complex domain, generalized functions and related topics. Most of the papers originate from the talks given at the conference "Prospects of Generalized Functions" (in November, 2001 at RIMS, Kyoto). Reflecting the fact that the papers, except M Morimoto's one, are dedicated to Mitsuo Morimoto, the subjects considered in this book are interdisciplinary, just as Morimoto's works are. The historical backgrounds of the subjects are also discussed in depth in some contributions. Thus, this book should be valuable not only to the specialists in the fields, but also to those who are interested in the history of modern mathematics such as distributions and hyperfunctions.
Contents:
  • Vanishing of Stokes Curves (T Aoki et al.)

72. Fourier Analysis Of Wave Elevation Time-series
next up previous contents Next The Evolution of a Up Analysis Techniques PreviousSurface Profile Measurement. fourier analysis of Wave Elevation Timeseries.
http://www.mech.ed.ac.uk/~daves/thesis/node76.html
Next: The Evolution of a Up: Analysis Techniques Previous: Surface Profile Measurement
Fourier Analysis of Wave Elevation Time-series
If the wave and sampling parameters have been set as suggested in section , the process of Fourier analysing sampled elevation time-series is simplified as the assumptions of steadiness and periodicity are satisfied.
Figure: FFT of wave amplitude time-series containing integral cycles
Figure shows the amplitude components obtained from the FFT of a steady wave with integral cycles in the sampling period (figures , case 4). The fundamental wave component, and first and second harmonic can be easily identified and extracted, and the noise level is low.
Figure: FFT of wave amplitude time-series containing non-integral cycles
For comparison figure contains the results of taking an FFT of a wave elevation time-series which does not have integral cycles in the sampling period (figure , case 19). Spillage of the fundamental component into neighbouring frequencies can be seen.
D Skyner
Fri Jul 5 12:08:37 BST 1996

73. Application Of Fourier Analysis To The Visibility Of Gratings
Application of fourier analysis to the Visibility of Gratings Campbell, FW, andRobson, JG (1968) Journal of Physiology. 197 551566. Nominator's statement.
http://cogsci.umn.edu/millennium/0315222756.html
Home Top 100 Nominations Comment form Application of Fourier Analysis to the Visibility of Gratings
Campbell, F.W., and Robson, J.G. (1968)
Journal of Physiology. 197: 551-566.
Nominator's statement
Dear Sirs, I have a question instead the comment. Is there any way to turn the letters of words,actually the words, into the Fourier wave forms and what is the method or computer program by which is that possible? Thanks a lot. Drago Plecko, M.Sci. Croatia
comments
  • A groundbreaking work that described how our contrast sensitivity is dependent on the amplitude of the fundamental Fourier components of wave forms. This paper demonstrates how quantitative our perception really is, and set the stage for much future research on these topics. Since being introduced to this paper, I have been fascinated by this aspect of cognitive science (i.e., the fundementals of perception).
  • This paper introduced the spatial-frequency channel model of early visual coding, and set the stage for subsequent channel-based models of everything from size constancy to face recognition. I think it was a great paper, but skeptics might argue that it side-tracked research on object recognition and other higher-level issues.
Nominations have closed, but you can still add a comment to this nomination.

74. Wavelet And Fourier Analysis Of Radiometeor Rate Data
II. Oral session, Tuesday, June 10 North Main Hall C/D,. 33.01Wavelet and fourier analysis of Radiometeor Rate Data. DD Meisel
http://www.aas.org/publications/baas/v29n2/aas190/abs/S033001.html
Previous abstract Next abstract
Oral session, Tuesday, June 10
North Main Hall C/D,
[33.01] Wavelet and Fourier Analysis of Radiometeor Rate Data
D. D. Meisel (SUNY-Geneseo), J. Richardson (Poplar Springs Radiometeor Station), A. Mallama (Hughes STX Corp.) Program listing for Tuesday

75. Fourier Analysis For Probabilistic Communication Complexity - Raz (ResearchIndex
We use fourier analysis to get general lower bounds for the probabilisticcommunication complexity of large classes of functions.
http://citeseer.nj.nec.com/raz95fourier.html
Fourier Analysis For Probabilistic Communication Complexity (1995) (Make Corrections) (3 citations)
Ran Raz Computational Complexity
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Abstract: . We use Fourier analysis to get general lower bounds for the probabilistic communication complexity of large classes of functions. We give some examples showing how to use our method in some known cases, and for some new functions. Our main tool is an inequality by Kahn, Kalai and Linial, derived from two lemmas of Beckner. Key words. Lower-bound, Complexity, Fourier-Analysis. Subject classifications. 68Q99. 1. Introduction and Notations 1.1. Communication Complexity. The model of... (Update)
Context of citations to this paper: More coefficients of Boolean functions and their complexity characteristics have been studied in a number of works, see In particular, these spectral techniques have been successfully applied to the parity function and to threshold functions....

76. Wiley Canada :: Fourier Analysis Of Time Series: An Introduction, 2nd Edition
Wiley Canada, fourier analysis of Time Series AnIntroduction, 2nd Edition by Peter Bloomfield.
http://www.wileycanada.com/cda/product/0,,0471889482|desc|2627,00.html
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By Keyword By Title By Author By ISBN By ISSN Wiley Canada Statistics Special Topics Fourier Analysis of Time Series: An Introduction, 2nd Edition Related Subjects
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by Morris H. DeGroot (Editor), Stephen E. Fienberg (Editor), Joseph B. Kadane (Editor)
A Probabilistic Analysis of the Sacco and Vanzetti Evidence (Hardcover)

by Joseph B. Kadane, David A. Schum Time Series Analysis: Nonstationary and Noninvertible Distribution Theory (Hardcover) by Katsuto Tanaka Fundamentals of Queueing Theory, 3rd Edition (Hardcover) by Donald Gross, Carl M. Harris Nonparametric Statistical Methods, 2nd Edition (Hardcover) by Myles Hollander, Douglas A. Wolfe Randomization in Clinical Trials: Theory and Practice (Hardcover) by William F. Rosenberger, John M. Lachin Statistics Special Topics Fourier Analysis of Time Series: An Introduction, 2nd Edition Peter Bloomfield ISBN: 0-471-88948-2 Hardcover 288 pages January 2000 US $94.95

77. Wiley Canada :: Theory Of Discrete And Continuous Fourier Analysis
Wiley Canada, Theory of Discrete and Continuousfourier analysis by H. Joseph Weaver.
http://www.wileycanada.com/cda/product/0,,0471628727,00.html
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By Keyword By Title By Author By ISBN By ISSN Wiley Canada Applied Mathematics General Applied Mathematics Theory of Discrete and Continuous Fourier Analysis Related Subjects
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Related Titles General Applied Mathematics
Linear and Nonlinear Waves (Hardcover)

by G. B. Whitham
Computational Biology of the Heart (Hardcover)

by Alexander V. Panfilov (Editor), Arun V. Holden (Editor)
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by Annick Lesne Numerical Schemes for Conservation Laws (Hardcover) Mathematical Methods of Airfoil Design: Inverse Boundary-Value Problems of Aerohydrodynamics (Hardcover) by Alexander M. Elizarov, Nikolay B. Il'inskiy, Andrey V. Potashev General Applied Mathematics Theory of Discrete and Continuous Fourier Analysis H. Joseph Weaver ISBN: 0-471-62872-7 Hardcover 307 pages January 1989 US $165.00 Add to Cart Description Table of Contents A companion volume to Weaver's Applications of Discrete and Continuous Fourier Analysis (Wiley, 1983). Addresses the theoretical and analytical aspects of Fourier analysis, including topics usually found only in more advanced treatises. Provides background information before going on to cover such topics as existence of the inner product, distribution theory, Fourier series representation of complex functions, properties and behavior of the Fourier transform, Fourier transform of a distribution, physical interpretation of convolution, the fast Fourier transform, sampling a function, and much more. Includes exercises, problems, applications, over 150 illustrations, and a Fourier transform FORTRAN subroutine.

78. Fourier Analysis For Optimization Problems
fourier analysis For Optimization Problems. The above analysis using Fourierdecomposition can also serve for the analysis of optimization problems.
http://www.math.cmu.edu/~shlomo/VKI-Lectures/lecture2/node5.html
Next: The Symbol of The Up: Theoretical Tools for Problem Previous: The Symbol of an
Fourier Analysis For Optimization Problems
The above analysis using Fourier decomposition can also serve for the analysis of optimization problems. Of probably the main concern for us is to define optimization problems for our engineering tasks, that will be mathematically "good", or well-posed in mathematical terminology. We would like the problem to have a solution (existence), that the solution will be unique (uniqueness) and that the solution will depend in a continuous way on other parameters in the problem (continuous dependence). We will see that these properties of the problem, at least when considering the high frequency range, can be easily analyzed. The usual rigorous mathematical techniques for these question are very complex and may not be of a practical engineering use. Moreover, some important details which are of engineering importance are not present in the rigorous analysis, while they are present in the formal Fourier techniques. The characterization of the minimizer for an optimization problem gives the equation
This is in general a nonlinear equation for the unknown . Now lets say that we have an approximate solution and we are seeking the correction such that . Using a Taylor expansion we see that satisfies approximately the equation
where is the Hessian of the functional.

79. Jossey-Bass :: Fourier Analysis Of Time Series: An Introduction, 2nd Edition
JosseyBass, fourier analysis of Time Series AnIntroduction, 2nd Edition by Peter Bloomfield.
http://www.josseybass.com/cda/product/0,,0471889482|desc|2627,00.html
By Keyword By Title By Author By ISBN By ISSN Shopping Cart My Account Help Contact Us ... Statistics Special Topics Fourier Analysis of Time Series: An Introduction, 2nd Edition Related Subjects
Combinatorics

Discrete Mathematics

Related Titles Statistics Special Topics
Statistical Learning Theory (Hardcover)

by Vladimir N. Vapnik
Statistics and the Law (Paperback)

by Morris H. DeGroot (Editor), Stephen E. Fienberg (Editor), Joseph B. Kadane (Editor)
A Probabilistic Analysis of the Sacco and Vanzetti Evidence (Hardcover)

by Joseph B. Kadane, David A. Schum
Time Series Analysis: Nonstationary and Noninvertible Distribution Theory (Hardcover)
by Katsuto Tanaka Fundamentals of Queueing Theory, 3rd Edition (Hardcover) by Donald Gross, Carl M. Harris Nonparametric Statistical Methods, 2nd Edition (Hardcover) by Myles Hollander, Douglas A. Wolfe Randomization in Clinical Trials: Theory and Practice (Hardcover) by William F. Rosenberger, John M. Lachin Statistics Special Topics Fourier Analysis of Time Series: An Introduction, 2nd Edition Peter Bloomfield ISBN: 0-471-88948-2 Hardcover 288 pages January 2000 US $94.95

80. A First Coures In Wavelets With Fourier Analysis
Written for undergraduate students, this book presents the fundamentaltheory of fourier analysis and wavelets. The much.
http://www.mathworks.com/support/books/book2995.jsp?category=11

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