Posted by **step778** at May 16, 2018

2008 | pages: 746 | ISBN: 0898716446 | PDF | 5,3 mb

Posted by **insetes** at Dec. 27, 2017

2009 | 444 Pages | ISBN: 0521191335 | PDF | 3 MB

Posted by **step778** at Dec. 12, 2017

2001 | pages: 449 | ISBN: 0792367669 | PDF | 7,2 mb

Posted by **tanas.olesya** at Nov. 26, 2017

English | 31 Oct. 2006 | ISBN: 0471745030 | 696 Pages | PDF | 32 MB

A state–of–the–art introduction to the powerful mathematical and statistical tools used in the field of finance. The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance.

Posted by **naag** at Sept. 22, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | Lec: 58 | 626 MB

Numerical integration, linear systems, matrixes, Google's PageRank algorithm and differential equations

Posted by **roxul** at Aug. 8, 2017

2013 | 3 edition | ISBN-10: 1107033853 | 432 pages | PDF | 7,7 MB

Posted by **tanas.olesya** at Feb. 9, 2017

English | 29 Jan. 2010 | ISBN: 0521191327 | 432 Pages | PDF | 4 MB

This text is for engineering students and a reference for practising engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation.

Posted by **tanas.olesya** at Feb. 7, 2017

English | 1 Aug. 2005 | ISBN: 0521852889 | 434 Pages | PDF | 7 MB

Numerical Methods in Engineering with MATLAB® is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of MATLAB®.

Posted by **interes** at Feb. 3, 2017

English | 1985 | ISBN: 052125924X | 480 pages | PDF | 3,3 MB

Posted by **alt_f4** at Jan. 12, 2017

English | Oct. 12, 2001 | ISBN: 0471396869 | 429 Pages | PDF | 15 MB

Balanced coverage of the methodology and theory of numerical methods in finance

Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.