PiBase: Topology vs Matrix-Analysis Usage & Stats

π-Base Topology is a community database of topological counterexamples. The database has: - Topological Spaces - Topological Theorems. - Topological Properties. - References (Books, Articles, Forums). Information inside the app: - Space, Theorem and Property descriptions. - Properties that are (and aren´t) satisfied by a given space. - Converses of theorems for which a given space is a counterexample. - Given a property, which spaces satisfy and don´t satisfy it. - Counterexamples for the converse of a given theorem. If the converse is True, a proof or reference is given. - Spaces that satisfy a given logical formula formed with properties (search by formula). - References.
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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!
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PiBase: Topology VS.
Matrix-Analysis

December 26, 2024