Posted by **DZ123** at Nov. 2, 2015

English | 2003 | ISBN: 3540011854 | PDF | pages: 134 | 1,3 mb

Posted by **step778** at June 9, 2010

Publisher: Springer | pages: 129 | 2003 | ISBN: 3540011854 | PDF | 11,2 mb

This book presents novel symbolic control and data flow techniques as well as symbolic techniques and algorithms for program analysis and program optimization. Program contexts, defining a new symbolic description of program semantics for control and data flow analysis, are at the center of the techniques and methods introduced.

Posted by **arundhati** at Nov. 11, 2014

2014 | ISBN-10: 1493911023 | 320 pages | PDF | 10 MB

Posted by **viserion** at Dec. 11, 2016

ISBN: 8874886454 | 2013 | EPUB | 330 pages | 19 MB

Posted by **tarantoga** at Jan. 28, 2016

ISBN: 8874886454 | 2013 | EPUB | 330 pages | 19 MB

Posted by **BUGSY** at May 1, 2015

English | Dec 26, 1973 | ISBN: 0387900659, 0387900667 | 243 Pages | PDF | 2 MB

Once upon a time students of mathematics and students of science or engineering took the same courses in mathematical analysis beyond calculus. Now it is common to separate" advanced mathematics for science and engiĀ neering" from what might be called "advanced mathematical analysis for mathematicians." It seems to me both useful and timely to attempt a reconciliation.

Posted by **step778** at April 9, 2014

1974 | pages: 240 | ISBN: 0387900659, 0387900667 | PDF | 12,3 mb

Posted by **AvaxGenius** at June 16, 2018

English | PDF,EPUB | 2013 | 279 Pages | ISBN : 3642308783 | 7.19 MB

There is a large gap between the engineering course in tensor algebra on the one hand and the treatment of linear transformations within classical linear algebra on the other hand. The aim of this modern textbook is to bridge this gap by means of the consequent and fundamental exposition. The book primarily addresses engineering students with some initial knowledge of matrix algebra.

Posted by **AvaxGenius** at June 7, 2018

English | EPUB | 2015 | 736 Pages | ISBN : 1493926136 | 9.37 MB

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data.

Posted by **AvaxGenius** at June 7, 2018

English | EPUB | 2016 | 255 Pages | ISBN : 3319327674 | 6.38 MB

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions.