Matrix vs Drawing with Math

The MatrixAnalysis is carefully designed to be a simple and elegant app. This app has tools to help you analyze matrices like finding eigenvalues and eigenvectors, diagonalization, QR, SLU, LU factorization. This app can also be used to do matrix operations like, finding inverse, determinant, dot product, cross product, and much more. You can also do elementwise operations and scalar operations. Want to do fast fourier transform (FFT) or inverse fourier transform (IFFT), this app is capable of IFFT Want to find an pseudo inverse of a non-square matrix, this app has you covered Want to know a rotation matrix for a given angle or rotate a vector by the given angle? This app has you covered. The expressions and the solutions are displayed in beautiful mathematical way. Once the expressions are solved, a beautifully written solutions are created that you can share with other or save it locally. It automatically saves your hard work locally on your device so you can come back and pick up from where you left off as your great effort will not be lost. There is also a Study page to help you with learning some important matrix vector formulas and some useful technique. This is an app for all student groups. From high school to college to university students. Be creative. Enjoy the app!

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.