Polynomial vs Drawing with Math

The PolynomialSolver is carefully designed to be a simple and elegant app. Easy to use, easy to understand, simple and effective It solves (finds all the roots) polynomials of any order (any degree). Roots can be real, complex or combination of both. No problem. This app has you covered. To find all the solutions, it uses Aberth Ehrlich algorithm for higher order polynomials. The polynomial is beautifully presented in mathematical format. You can also solve multiple polynomials at once. You can also share the polynomial and its solution. Perform the polynomial division to find the quotient and remainder. This app also plots beautiful graph of the polynomial(s) so that you can visualize the solution in the graph. The graph can be shared with other or it can be saved locally on your device. 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. This is a perfect app if you are a student learning to solve these kind of equations. There is also a Study page to help you with learning some important polynomial concepts. 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.