Algebra I Quick Reference vs Drawing with Math

Algebra I Quick Reference is a basic information tool for Algebra I students. It provides a simple way to access and review the basic concepts of Algebra I. Here are a few of the ways you will use Algebra I Quick Reference everyday with your students: • Use Algebra I Quick Reference as an informational tool to help students understand and review basic concepts of Algebra I, including the distributive, commutative and associative properties of real numbers, basic techniques for solving equations, rules for exponents, graphing linear functions and factoring. •Tap the areas of the screen to bring up more detailed information and explanations about essential algebra concepts. •Tap to get more information about key topics including variables and expressions, properties of real numbers, solving equations, polynomials, factoring and graphing linear functions. An Interactive Quick Reference Tool Many of the areas of the screen are hot spots. Tap terms and icons to bring up more information about each topic. Topics include: •Variables and Expressions •Properties of Real Numbers •Solving Equations •Polynomials •Factoring and •Graphing Linear Functions

Our “Drawing with Math (Vector and Pixel Art)” app combines two main components: * uniquely versatile image editors, * various methods of linear transformations of both user-entered and system images. Image editors are available in vector and pixelated forms. The editors offer such options as: * free drawing, * entry of all standard shapes, * entry of regular Cartesian, polar, or parametric function into image editor. List of several visually appealing functions is provided. The App stores 10 most recent user entries for each type. Vector images can be linearly transformed in a variety of user-defined ways: * 2x2 matrix, * eigenvalues and eigenvectors, * rotation by degree, * reflection across a given vector. Pixelated images can be compressed by segments to user-selected rank. Mathematical context for the above is provided, whenever possible. Explanation of image compression algorithms requires significant understanding of Linear Algebra, and is available in our “Matrix Solver Step by Step” app. Several bonus images with animations and editable greeting cards are also available. Suggestions and any other feedback are welcome! Write to us at graphmath@aol.com.