An Introduction to Harmonic Analysis

An Introduction to Harmonic Analysis (repost)  eBooks & eLearning

Posted by Veslefrikk at Dec. 15, 2013
An Introduction to Harmonic Analysis (repost)

An Introduction to Harmonic Analysis
Cambridge University Press | 2004-01-05 | ISBN: 0521543592 | 332 pages | PDF | 1,1 MB

An Introduction to Harmonic Analysis, 2nd edition (repost)  eBooks & eLearning

Posted by interes at June 15, 2013
An Introduction to Harmonic Analysis, 2nd edition (repost)

Yitzhak Katznelson, "An Introduction to Harmonic Analysis, 2nd edition"
English | 1976 | ISBN: 0486633314 | 264 pages | PDF | 12 MB

This concrete approach to harmonic analysis begins with the circle group T and deals with classical Fourier series in the first five chapters, turning to the real line in chapter six, locally compact abelian groups in chapter seven, and commutative Banach algebras in final chapter.

An Introduction to Harmonic Analysis  eBooks & eLearning

Posted by rolexmaya at July 7, 2011
An Introduction to Harmonic Analysis

An Introduction to Harmonic Analysis
Cambridge University Press; 3 edition | January 12, 2004 | ISBN-10: 0521838290 | 336 pages | PDF | 1 Mb

Awarded the American Mathematical Society Steele Prize for Mathematical Exposition, this Introduction, first published in 1968, has firmly established itself as a classic text.

An Introduction to Harmonic Analysis on Semisimple Lie Groups (Repost)  eBooks & eLearning

Posted by DZ123 at Oct. 18, 2014
An Introduction to Harmonic Analysis on Semisimple Lie Groups (Repost)

V. S. Varadarajan, "An Introduction to Harmonic Analysis on Semisimple Lie Groups"
English | 1989 | ISBN: 0521341566 | DJVU | pages: 324 | 6,4 mb

An Introduction to Harmonic Analysis on Semisimple Lie Groups  eBooks & eLearning

Posted by step778 at Aug. 28, 2013
An Introduction to Harmonic Analysis on Semisimple Lie Groups

V. S. Varadarajan, "An Introduction to Harmonic Analysis on Semisimple Lie Groups"
1989 | pages: 325 | ISBN: 0521341566 | PDF | 9,3 mb

An Introduction to the Analysis of Algorithms, 2nd Edition (Repost)  eBooks & eLearning

Posted by nebulae at Jan. 8, 2017
An Introduction to the Analysis of Algorithms, 2nd Edition (Repost)

Robert Sedgewick, Philippe Flajolet, "An Introduction to the Analysis of Algorithms, 2nd Edition"
English | 2013 | ISBN: 032190575X | PDF | 592 pages | 5 MB

An Introduction to Fourier Analysis  eBooks & eLearning

Posted by arundhati at Dec. 29, 2016
An Introduction to Fourier Analysis

Russell L. Herman, "An Introduction to Fourier Analysis"
2016 | ISBN-10: 1498773702 | 402 pages | PDF | 7 MB

An Introduction to Error Analysis [Repost]  eBooks & eLearning

Posted by tanas.olesya at Dec. 14, 2016
An Introduction to Error Analysis [Repost]

An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements by John R. Taylor
English | 14 July 1997 | ISBN: 0935702423, 093570275X | 344 Pages | PDF | 31 MB

The early chapters teach elementary techniques of error propagation and statistical analysis to enable students to produce successful lab reports.

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 18, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Artificial Intelligence | December 5, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 11, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Computer Science | December 6, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background