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.

Posted by **fdts** at July 23, 2016

by Vladislav A. Yastrebov

English | 2013 | ISBN: 1848215193 | 401 pages | PDF | 8.28 MB

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

English | 2014 | ISBN: 1466577770 | 412 pages | PDF | 2,6 MB

Posted by **interes** at June 30, 2015

English | 2014 | ISBN: 1466577770 | 412 pages | PDF | 2,6 MB

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

English | 2014 | ISBN: 1466577770 | 412 pages | PDF | 2,6 MB

Posted by **interes** at Nov. 14, 2014

English | 2014 | ISBN: 3319076701 | 476 pages | PDF | 7 MB

Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications.

Posted by **Specialselection** at Feb. 20, 2014

English | 2006-10-06 | ISBN: 0471745030 | 696 pages | PDF | 37.3 mb

Posted by **AlenMiler** at Aug. 3, 2013

Publisher: Wiley-ISTE | 2013 | ISBN: 1848215193 | 401 pages | PDF | 8 MB

Posted by **cifra7** at July 24, 2010

Publisher: Wiley-Interscience | ISBN: 0471745030 | edition 2006 | PDF | 696 pages | 23,8 mb

The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?–the powerful numerical computing environment–for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.

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.