Rock takes readers through the standards, one-by-one, to learn what is required to master Algebra I. (Education/Teaching)

There are many self-help math books available, but none are quite like this one. Math Is Easy, So Easy, first separates math topics into those which are essential and nonessential. The struggling math student (and parent of a struggling math student) must be able to focus on the math topics which will return the greatest effect in the shortest amount of time. Furthermore, math teachers and math textbooks simply try to cover too much material, the bulk of which, has no impact on a student's successful completion of math up through calculus in high school. Second, Math Is Easy, So Easy, tries to provide clarity of instruction for a few problems which cover the important aspects of the essential topics. Contrary to most math teacher instruction, it is more important and beneficial to know a few key problems well, than to try to cover many problems only superficially. If you are the parent of a student who is struggling in math, you know how frustrating it can be to get to the bottom of what your student really needs to know to survive and persist in math up through calculus in high school. You also know how important it is that your student stay in math as long as possible in high school, so that they are better prepared to enter and succeed in college. You also, no doubt, know how seemingly unreasonable your struggling student's math teacher can be in terms of communicating with you and your student. As a math teacher for many years now, Max wrote this book to help you and your struggling math student survive math with as few, "I hate math," outbursts as possible. Lastly, Max has personally witnessed many students who struggle in math in high school who then go on to mature into great engineers and scientists. This book will help your student to stay in math longer and be more successful. There is a separate book for each of six math classes: 7th Grade Math, Algebra I, Geometry I, Algebra II, Math Analysis and Calculus. There is a single "Combo" book with all six books in one. Make sure you get the right book for your needs. Nathaniel Max Rock, an engineer by training, has taught math in middle school and high school including math classes: 7th Grade Math, Algebra I, Geometry I, Algebra II, Math Analysis and AP Calculus. Max has been documenting his math curricula since 2002 in various forms, some of which can be found on MathForEveryone.com, StandardsDrivenMath.com and MathIsEasySoEasy.com. Max is also an AVID elective teacher and the lead teacher for the Academy of Engineering at his high school.

According to Rock, math teachers and math textbooks simply try to cover too much material, the bulk of which has no impact on a student's successful completion of math up through calculus in high school. This edition provides clarity of instruction for a few problems which cover the important aspects of the essential topics. (Mathematics)

Rock provides a guide to learning and understanding Algebra II. (Education/Teaching)

Rock separates math topics into those which are essential and nonessential so that the struggling math student can focus on the math topics which will return the greatest effect in the shortest amount of time. (Mathematics)

Take it step-by-step for algebra success! The quickest route to learning a subject is through a solid grounding in the basics. So what you won’t find in Easy Algebra Step-by-Step is a lot of endless drills. Instead, you get a clear explanation that breaks down complex concepts into easy-to-understand steps, followed by highly focused exercises that are linked to core skills--enabling learners to grasp when and how to apply those techniques. This book features: Large step-by-step charts breaking down each step within a process and showing clear connections between topics and annotations to clarify difficulties Stay-in-step panels show how to cope with variations to the core steps Step-it-up exercises link practice to the core steps already presented Missteps and stumbles highlight common errors to avoid You can master algebra as long as you take it Step-by-Step!

Contains variety of activities to help students gain an understanding of algebraic concepts covered in most algebra 1 courses by using everyday applications.

This text for a second course in linear algebra, aimed at math majors and graduates, adopts a novel approach by banishing determinants to the end of the book and focusing on understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space has an eigenvalue. The book starts by discussing vector spaces, linear independence, span, basics, and dimension. Students are introduced to inner-product spaces in the first half of the book and shortly thereafter to the finite- dimensional spectral theorem. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition features new chapters on diagonal matrices, on linear functionals and adjoints, and on the spectral theorem; some sections, such as those on self-adjoint and normal operators, have been entirely rewritten; and hundreds of minor improvements have been made throughout the text.

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions, while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (including practice problems, exams, and development of textbook examples), plus codes in MATLAB®, Julia, and Python.