DragginMath vs Drawing with Math

DragginMath is a new way to teach, learn, and do algebra. This app converts equations into interactive pictures. Get serious about math: turn equations into playthings! Yes, it's fun, but this is definitely not a toy. See the internal structure of equations. Then commute, associate, distribute, factor, simplify, and solve by dragging math under your fingertips. This is real algebra, not something that sort of looks like it. Not a function-graphing app. Not restricted to a few limited examples or prepared problem sets. This app can do an astonishing amount of symbolic math, but it is aimed at the algebraic novice. Do you or your students need help understanding the order of operations? Unsure what the various algebraic properties are or how to use them? Is solving an equation just some arcane mystery? DragginMath lets you see and experiment with symbolic math concepts. You still have to direct the work yourself, but without burning through erasers or reams of paper, and without needing someone to check your work. DragginMath is not curriculum. It is a tool, and it is curriculum-independent. If your textbook has expressions and equations in it, DragginMath can help you teach it, or learn it. You might even enjoy doing it. Are you a teacher? Create animated lessons just by using the app as you normally would. Add annotations and homework problems, then email them to your class within the app. Students watch your lessons, do their homework, and email it back to you within the app. Returned homework is formatted for easy management.

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.