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Read more about The Joy of Cryptography

The Joy of Cryptography

Copyright Year: 2017

Contributor: Rosulek

Publisher: Oregon State University

License: CC BY-NC-SA

The pedagogical approach is anchored in formal definitions/proof of security, but in a way that I believe is more accessible than what is "traditional" in crypto. All security definitions are written in a unified and simplified "game-based" style. For an example of what security definitions look like in this style, see the index of security definitions (which will make more sense after reading chapters 2 & 4).

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Read more about Transition to Higher Mathematics: Structure and Proof - Second Edition

Transition to Higher Mathematics: Structure and Proof - Second Edition

Copyright Year: 2015

Contributors: Dumas and McCarthy

Publisher: Open Scholarship

License: CC BY

This book is written for students who have taken calculus and want to learn what “real mathematics" is. We hope you will find the material engaging and interesting, and that you will be encouraged to learn more advanced mathematics. This is the second edition of our text. It is intended for students who have taken a calculus course, and are interested in learning what higher mathematics is all about. It can be used as a textbook for an "Introduction to Proofs" course, or for self-study. Chapter 1: Preliminaries, Chapter 2: Relations, Chapter 3: Proofs, Chapter 4: Principles of Induction, Chapter 5: Limits, Chapter 6: Cardinality, Chapter 7: Divisibility, Chapter 8: The Real Numbers, Chapter 9: Complex Numbers. The last 4 chapters can also be used as independent introductions to four topics in mathematics: Cardinality; Divisibility; Real Numbers; Complex Numbers.

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Read more about Elementary Abstract Algebra: Examples and Applications

Elementary Abstract Algebra: Examples and Applications

Copyright Year: 2019

Contributors: Hill and Thron

Publisher: Justin Hill and Chris Thron

License: CC BY-NC-SA

This book is not intended for budding mathematicians. It was created for a math program in which most of the students in upper-level math classes are planning to become secondary school teachers. For such students, conventional abstract algebra texts are practically incomprehensible, both in style and in content. Faced with this situation, we decided to create a book that our students could actually read for themselves. In this way we have been able to dedicate class time to problem-solving and personal interaction rather than rehashing the same material in lecture format.

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Read more about A Cool Brisk Walk Through Discrete Mathematics - version 2.2

A Cool Brisk Walk Through Discrete Mathematics - version 2.2

Copyright Year: 2023

Contributor: Davies

Publisher: University of Mary Washington

License: CC BY-SA

A Cool Brisk Walk Through Discrete Mathematics - and its companion site "allthemath" - are completely-and-forever-free-and-open-source educational materials dedicated to the mathematics that budding computer science practitioners actually need to know. They feature the fun and addictive teaching of award-winning lecturer Dr. Stephen Davies of the University of Mary Washington in Fredericksburg, Virginia!

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Read more about Introduction to Game Theory: a Discovery Approach

Introduction to Game Theory: a Discovery Approach

Copyright Year: 2017

Contributor: Nordstrom

Publisher: Jennifer Firkins Nordstrom

License: CC BY-SA

Game theory is an excellent topic for a non-majors quantitative course as it develops mathematical models to understand human behavior in social, political, and economic settings. The variety of applications can appeal to a broad range of students. Additionally, students can learn mathematics through playing games, something many choose to do in their spare time! This text also includes an exploration of the ideas of game theory through the rich context of popular culture. It contains sections on applications of the concepts to popular culture. It suggests films, television shows, and novels with themes from game theory. The questions in each of these sections are intended to serve as essay prompts for writing assignments.

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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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