Mathematics Textbooks

Read more about Multivariable Calculus

Multivariable Calculus

Copyright Year: 2019

Contributor: Shimamoto

Publisher: Don Shimamoto

License: CC BY

This book covers the standard material for a one-semester course in multivariable calculus. The topics include curves, differentiability and partial derivatives, multiple integrals, vector fields, line and surface integrals, and the theorems of Green, Stokes, and Gauss. Roughly speaking the book is organized into three main parts corresponding to the type of function being studied: vector-valued functions of one variable, real-valued functions of many variables, and finally the general case of vector-valued functions of many variables. As is always the case, the most productive way for students to learn is by doing problems, and the book is written to get to the exercises as quickly as possible. The presentation is geared towards students who enjoy learning mathematics for its own sake. As a result, there is a priority placed on understanding why things are true and a recognition that, when details are sketched or omitted, that should be acknowledged. Otherwise the level of rigor is fairly normal. Matrices are introduced and used freely. Prior experience with linear algebra is helpful, but not required.

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Read more about Quantitative Problem Solving in Natural Resources

Quantitative Problem Solving in Natural Resources

Copyright Year: 2018

Contributor: Moore

Publisher: Iowa State University

License: CC BY-SA

This text is intended to support courses that bridge the divide between mathematics typically encountered in U.S. high school curricula and the practical problems that natural resource students might engage with in their disciplinary coursework and professional internships.

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Read more about An Introduction to the Theory of Numbers

An Introduction to the Theory of Numbers

Copyright Year: 2011

Contributor: Moser

Publisher: The Trillia Group

License: CC BY

This book, which presupposes familiarity only with the most elementary concepts of arithmetic (divisibility properties, greatest common divisor, etc.), is an expanded version of a series of lectures for graduate students on elementary number theory. Topics include: Compositions and Partitions; Arithmetic Functions; Distribution of Primes; Irrational Numbers; Congruences; Diophantine Equations; Combinatorial Number Theory; and Geometry of Numbers. Three sections of problems (which include exercises as well as unsolved problems) complete the text.

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Read more about Introduction to Financial Mathematics Concepts and Computational Methods

Introduction to Financial Mathematics Concepts and Computational Methods

Copyright Year: 2019

Contributor: Fahim

Publisher: Florida State University

License: CC BY-NC-SA

Introduction to Financial Mathematics: Concepts and Computational Methods serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like. The goal of the book is to expose the reader to a wide range of basic problems, some of which emphasize analytic ability, some requiring programming techniques and others focusing on statistical data analysis. In addition, it covers some areas which are outside the scope of mainstream financial mathematics textbooks. For example, it presents marginal account setting by the CCP and systemic risk, and a brief overview of the model risk. Inline exercises and examples are included to help students prepare for exams on this book.

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Read more about Statistical Thinking for the 21st Century

Statistical Thinking for the 21st Century

Copyright Year: 2018

Contributor: Poldrack

Publisher: Russell Poldrack

License: CC BY-NC

Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

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Read more about Geometry with an Introduction to Cosmic Topology

Geometry with an Introduction to Cosmic Topology

Copyright Year: 2018

Contributor: Hitchman

Publisher: Michael P. Hitchman

License: CC BY-SA

Motivated by questions in cosmology, the open-content text Geometry with an Introduction to Cosmic Topology uses Mobius transformations to develop hyperbolic, elliptic, and Euclidean geometry - three possibilities for the global geometry of the universe.

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Read more about Mathematical Analysis I

Mathematical Analysis I

Copyright Year: 2004

Contributor: Zakon

Publisher: The Trillia Group

License: CC BY

This award-winning text carefully leads the student through the basic topics of Real Analysis. Topics include metric spaces, open and closed sets, convergent sequences, function limits and continuity, compact sets, sequences and series of functions, power series, differentiation and integration, Taylor's theorem, total variation, rectifiable arcs, and sufficient conditions of integrability. Well over 500 exercises (many with extensive hints) assist students through the material.

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Read more about Tea Time Numerical Analysis

Tea Time Numerical Analysis

Copyright Year: 2016

Contributor: Brin

Publisher: Leon Q. Brin

License: CC BY-SA

This textbook was born of a desire to contribute a viable, free, introductory Numerical Analysis textbook for instructors and students of mathematics. The ultimate goal of Tea Time Numerical Analysis is to be a complete, one-semester, single-pdf, downloadable textbook designed for mathematics classes. Now includes differential equations.

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Read more about Answering questions with data: Introductory Statistics for Psychology Students

Answering questions with data: Introductory Statistics for Psychology Students

Copyright Year: 2018

Contributor: Crump

Publisher: Crump Lab

License: CC BY-SA

This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.

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Read more about Teaching Mathematics at Secondary Level

Teaching Mathematics at Secondary Level

Copyright Year: 2016

Contributor: Gardiner

Publisher: Open Book Publishers

License: CC BY

Teaching Mathematics is nothing less than a mathematical manifesto. Arising in response to a limited National Curriculum, and engaged with secondary schooling for those aged 11 ̶ 14 (Key Stage 3) in particular, this handbook for teachers will help them broaden and enrich their students’ mathematical education. It avoids specifying how to teach, and focuses instead on the central principles and concepts that need to be borne in mind by all teachers and textbook authors—but which are little appreciated in the UK at present.

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