Springer | 2004 | ISBN: 1852333308 | Pages: 310 | PDF | 3.21 MB

Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical

English | November 29, 2006 | ISBN: 1846285607 | 312 pages | PDF | 1 MB

This book equips undergraduates with the mathematical skills required for degree courses in economics, finance, management, and business studies. The fundamental ideas are described in the simplest mathematical terms, highlighting threads of common mathematical theory in the various topics. Coverage helps readers become confident and competent in the use of mathematical tools and techniques that can be applied to a range of problems.

English | 15 Jan. 2017 | ASIN: B01N6RH8WV | 312 Pages | AZW3/MOBI/EPUB/PDF (conv) | 11.84 MB

This study guide is for aspiring undergraduate mathematicians, engineers, or physicists. The style of instruction in this book is a refreshing change from typical teaching methods.

English | 16 Dec. 2016 | ISBN: 3319446592 | 232 Pages | EPUB | 2.31 MB

This book covers the basics of numerical methods, while avoiding the definition-theorem-proof style and instead focusing on numerical examples and simple pseudo-codes.

Publisher: Ginn & Company | ASIN: B001UFRKHK | edition 1945 | PDF | 493 pages | 22.72 mb

To the student of pure mathematics the term mathematics of finance often seems somewhat of a misnomer since, in solving the problems usually presented in textbooks under this title, the types of mathematical operations involved are very few and very elementary. Indeed, in a first course in the mathematics of finance the development of the most important formulas usually involves no greater difficulties than those encountered

in the study of geometric progressions.

Springer; 1st edition | June 19, 2008 | English | ISBN: 0387401016 | 570 pages | PDF | 45 MB

"A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions. In summary, this is a well-written text that treats the key classical models of finance through an applied probability approach….It should serve as an excellent introduction for anyone studying the mathematics of the classical theory of finance." –SIAM

English | ISBN: 0521189462 , 1107007607 | 2013 | PDF | 281 pages | 3 MB

An Introduction to Mathematics for Economics introduces quantitative methods to students of economics and finance in a succinct and accessible style. The introductory nature of this textbook means a background in economics is not essential, as it aims to help students appreciate that learning mathematics is relevant to their overall understanding of the subject.

English | Dec. 10, 2010 | ISBN: 1609620046 | 89 Pages | PDF | 1 MB

This book is about Information Retrieval (Ir), particularly Classical Information Retrieval (Cir). It looks at these topics through their mathematical roots. The mathematical bases of Cir are briefly reviewed, followed by the most important and interesting models of Cir, including Boolean, Vector Space, and Probabilistic.