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Introduction to Linear Algebra
This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, scalar products, determinants, and eigenvalues. The book contains a large number of exercises, some of the routine computational type, while others are conceptual.
SL2(R)
SL2(R) gives the student an introduction to the infinite dimensional representation theory of semisimple Lie groups by concentrating on one example - SL2(R). This field is of interest not only for its own sake, but for its connections with other areas such as number theory, as brought out, for example, in the work of Langlands. The rapid development of representation theory over the past 40 years has made it increasingly difficult for a student to enter the field. This book makes the theory accessible to a wide audience, its only prerequisites being a knowledge of real analysis, and some differential equations.
Dictionary of Slang Words: Vocabulary Building
Slangs are very informal or specific words that are especially used by a particular group of people and are more common in spoken English. In this book, you will study and learn various common slang words, cockney rhyming slangs and internet slangs Sample This: 01 -- aardvark [n.] -- (British Slang) hard work, unpleasant tasks 02 -- abbess [n.] -- (British Slang) a woman who runs a brothel 03 -- about done [adj.] -- (British Slang) completed or finished 04 -- about right [adj.] -- (British Slang) Slightly drunk 05 -- absotively (adv.) -- (American Slang) absolutely, positively 06 -- AC/DC [adj.] -- bisexual 07 -- acid [n.] -- LSD ((Lysergic acid diethylamide), an illegal drug that affects pe...
A Dictionary of Slang and Unconventional English
The definitive work on the subject, this Dictionary - available again in its eighth edition - gives a full account of slang and unconventional English over four centuries and will entertain and inform all language-lovers.
Undergraduate Algebra
The companion title, Linear Algebra, has sold over 8,000 copies The writing style is very accessible The material can be covered easily in a one-year or one-term course Includes Noah Snyder's proof of the Mason-Stothers polynomial abc theorem New material included on product structure for matrices including descriptions of the conjugation representation of the diagonal group
Real and Functional Analysis
This book is meant as a text for a first-year graduate course in analysis. In a sense, it covers the same topics as elementary calculus but treats them in a manner suitable for people who will be using it in further mathematical investigations. The organization avoids long chains of logical interdependence, so that chapters are mostly independent. This allows a course to omit material from some chapters without compromising the exposition of material from later chapters.
Basic Mathematics
None
The Rust Programming Language (Covers Rust 2018)
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and s...
The Book of R
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis...
