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Categories Free Downloadable Mathematics eBooks! Bookmark and Share
A First Course on Time Series Analysis with SAS
This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the statistical software package SAS (Statistical Analysis System) computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory.
Mathematics for Finance: An Introduction to Financial Engineering
This text is an excellent introduction to Mathematical Finance. Armed with a knowledge of basic calculus and probability a student can use this book to learn about derivatives, interest rates and their term structure and portfolio management. The text serves as an easily understood introduction to the economic concepts but also manages to cover the topics in a mathematically rigorous manner.
Elementary Algebra
This book takes the best of the traditional, practice-driven algebra texts and combines it with modern amenities to influence learning, like online/inline video solutions, as well as, other media driven features that only a free online text can deliver.
O'Reilly´┐Ż Think Stats: Probability and Statistics for Programmers
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
A Gentle Introduction to the Art of Mathematics
A Gentle Introduction to the Art of Mathematics (GIAM for short) is a textbook for a "transitions" course. Transitions courses (also known as "foundations" or "intro to proofs" courses) are typically taken after the Calculus sequence and before upper-division coursework in the mathematics major. Their purpose is to acclimatize the student to some of the culture and terminology of mathematics and to begin developing in them a proficiency at reading and writing mathematical proofs.

Finite Element Analysis
Finite element analysis is an engineering method for the numerical analysis of complex structures. This book provides a bird's eye view on this very broad matter through 27 original and innovative research studies exhibiting various investigation directions. Through its chapters the reader will have access to works related to Biomedical Engineering, Materials Engineering, Process Analysis and Civil Engineering.

Elementary Calculus: An Infinitesimal Approach
This book is concerned with the infinitesimal approach originally set forth by Newton and Leibnitz, using Non-standard analysis. The author has moved the theoretical material from Chapter One to an Appendix in this edition. A new chapter on differential equations has been added and the transcendental functions have been fully integrated into the first section. This book should be of interest to first and second year undergraduate mathematics students.
Nova's SAT Prep Course
Every year students pay $800 and more to test-prep companies to prepare for the new SAT. Now you can get the same SAT preparation in a book. SAT Prep Course provides the equivalent of a 2-month, 50-hour course.

Stochastic Processes for Finance
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.

A Computational Introduction to Number Theory and Algebra
Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory.

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