Mathematics

Solutions Manual for use with Geometry. Expands your student's understanding of key processes and provides full solutions to final reviews and problem sets I, II, III.

Algebra I For Dummies, 2nd Edition (9781119293576) was previously published as Algebra I For Dummies, 2nd Edition (9780470559642). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

This edition continues the theme of using Excel as a computational tool to perform statistical analysis. While all statistical functions have been adjusted to the Excel (2013) format, the statistical output remains unchanged.

Whether you are a student struggling to fulfil a maths or science course or you are embarking on a career change that requires a higher level of maths competency, A MIND FOR NUMBERS offers the tools you need to get a better grasp of that intimidating but inescapable field. Engineering professor, Barbara Oakley, knows firsthand how it feels to struggle with maths. She flunked her way through secondary school maths and science courses, before enlisting in the army immediately after graduation. Wh

This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.

The universality of mathematical techniques is demonstrated through a wide variety of applications and a description of basic methods for their analysis. The author places equal importance on difference and differential equations, showing how they complement and intertwine in describing natural phenomena.

A first course in Computational Algebraic Geometry is designed for young students with some background in algebra who wish to perform their first experiments in computational geometry.

This concise introduction to the background theory of stochastic processes begins with a clear account of measure theory and leads up to the Ito formula and its basic applications in Black-Scholes theory. Ideal for beginning graduate students, this treatment is reasonably rigorous and includes carefully chosen exercises.

As modern mathematics has been developed by mathematicians over the past several hundred years, it is interesting to trace the academic genealogy of mathematicians. This book lists 750 mathematicians along with the descriptions of 464 famous mathematicians of the 19th and 20th centuries.

This extensively updated second edition includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods, finite difference and finite elements techniques for the Poisson equation, and a variety of algorithms to solve large, sparse algebraic systems.

Shows that it is possible to provide a rigorous treatment of calculus for those planning a career in an area that uses mathematics regularly (for example statistics, mathematics, economics, finance, engineering, and more). This title reveals to students on the ways to approach and understand mathematics.

This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.