Posted by **interes** at Jan. 30, 2016

English | 2014 | ISBN: 1107600758, 1107011779 | 758 pages | EPUB | 8,9 MB

Posted by **step778** at Oct. 4, 2017

2014 | pages: 877 | ISBN: 1623966108 | PDF | 4,4 mb

Posted by **AvaxGenius** at June 29, 2017

English | EPUB | 2017 | 575 Pages | ISBN : 3319518372 | 9.35 MB

This book provides a comprehensive collection of methods and approaches for using formal methods within Human-Computer Interaction (HCI) research, the use of which is a prerequisite for usability and user-experience (UX) when engineering interactive systems.

Posted by **hill0** at June 21, 2017

English | 13 Jun. 2015 | ISBN: 1493907913 | 2178 Pages | PDF | 47.85 MB

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling),

Posted by **roxul** at June 17, 2017

2009 | ISBN-10: 141293091X | 800 pages | PDF | 34 MB

Posted by **AvaxGenius** at June 5, 2017

English | PDF (Repost), EPUB | 2015 | 2176 Pages | ISBN : 1493907891 | 82 MB

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous.

Posted by **libr** at May 19, 2017

English | 2012 | ISBN: 1781001286 | ISBN-13: 9781781001288 | 528 pages | PDF | 5,7 MB

Posted by **libr** at May 8, 2017

English | 2014 | ISBN: 0415635330 | 356 pages | PDF | 1,7 MB

Posted by **hill0** at April 30, 2017

English | 24 Feb. 2017 | ISBN: 1137492759 | 392 Pages | PDF | 4.1 MB

It is not intuitive to accept that there exists a link between quantum physical systems and cognitive systems. However, recent research has shown that cognitive systems and collective (social) systems, including biology, exhibit uncertainty which can be successfully modelled with quantum probability. The use of such probability allows for the modelling of situations which typically violate the laws of classical probability.

Posted by **arundhati** at April 24, 2017

2017 | ISBN-10: 3319518372 | 575 pages | PDF | 19 MB