Digital Image Processing: Mathematical And Computational Methods

Risk and Financial Management: Mathematical and Computational Methods (Repost)  eBooks & eLearning

Posted by step778 at Oct. 17, 2017
Risk and Financial Management: Mathematical and Computational Methods (Repost)

Charles S. Tapiero, "Risk and Financial Management: Mathematical and Computational Methods"
2004 | pages: 344 | ISBN: 0470849088 | DJVU | 1,0 mb
Mathematical and Computational Methods and Algorithms in Biomechanics: Human Skeletal Systems (repost)

Mathematical and Computational Methods and Algorithms in Biomechanics: Human Skeletal Systems
by Jir Nedoma and Jiri Stehlik
English | 2011 | ISBN: 0470408243 | 592 pages | PDF | 7.45 MB

Risk and Financial Management: Mathematical and Computational Methods (Repost)  eBooks & eLearning

Posted by Specialselection at Jan. 19, 2014
Risk and Financial Management: Mathematical and Computational Methods (Repost)

Charles S. Tapiero, "Risk and Financial Management: Mathematical and Computational Methods"
English | 2004-04-23 | ISBN: 0470849088 | 345 pages | PDF | 2.2 mb

Optical and Digital Image Processing: Fundamentals and Applications (repost)  eBooks & eLearning

Posted by interes at Nov. 29, 2013
Optical and Digital Image Processing: Fundamentals and Applications (repost)

Gabriel Cristobal, Peter Schelkens, "Optical and Digital Image Processing: Fundamentals and Applications"
English | 2011 | ISBN: 3527409564 | 988 pages | PDF | 11,4 MB

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications.
Mathematical and Computational Methods and Algorithms in Biomechanics: Human Skeletal Systems (Repost)

Jir Nedoma and Jiri Stehlik, "Mathematical and Computational Methods and Algorithms in Biomechanics: Human Skeletal Systems"
English | 2011 | ISBN: 0470408243 | 592 pages | PDF | 7,9 MB

Digital Image Processing: A Signal Processing and Algorithmic Approach  eBooks & eLearning

Posted by hill0 at Oct. 13, 2017
Digital Image Processing: A Signal Processing and Algorithmic Approach

Digital Image Processing: A Signal Processing and Algorithmic Approach by D. Sundararajan
English | 12 Nov. 2017 | ISBN: 9811061122 | 468 Pages | PDF/EPUB | 23.75 MB

Digital Image Processing: An Algorithmic Introduction using Java (Repost)  eBooks & eLearning

Posted by step778 at Jan. 10, 2015
Digital Image Processing: An Algorithmic Introduction using Java (Repost)

Wilhelm Burger, Mark J. Burge, "Digital Image Processing: An Algorithmic Introduction using Java"
2008 | pages: 573 | ISBN: 1846283795 | DJVU | 7,8 mb

Digital Image Processing: An Algorithmic Introduction using Java (Repost)  eBooks & eLearning

Posted by step778 at Oct. 14, 2013
Digital Image Processing: An Algorithmic Introduction using Java (Repost)

Wilhelm Burger, Mark J. Burge, "Digital Image Processing: An Algorithmic Introduction using Java"
2012 | pages: 574 | ISBN: 1846283795 | DJVU | 7,8 mb
Image Processing for Cinema (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)(Repost)

Image Processing for Cinema (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series) by Marcelo Bertalmío
English | 2014 | ISBN: 1439899274, 9781439899274, B00HZNQJ3C, B01CBBVD1U | 321 Pages | PDF | 7.49 MB

Spatial Statistics and Computational Methods (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 18, 2018
Spatial Statistics and Computational Methods (Repost)

Spatial Statistics and Computational Methods by Jesper Møller
English | PDF | 2003 | 217 Pages | ISBN : 0387001360 | 23.71 MB

Spatial statistics and Markov Chain Monte Carlo (MCMC) techniques have each undergone major developments in the last decade. Also, these two areas are mutually reinforcing, because MCMC methods are often necessary for the practical implementation of spatial statistical inference, while new spatial stochastic models in turn motivate the development of improved MCMC algorithms. This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology.