AC Method for Factoring PRO vs GraphWeave

For factoring quadratics this app uses the AC method. For this, only three variables must be entered. The solution is shown step by step. All calculations are stored in the history. The final solution can be shared. [ Content ] - the variables for a, b and c must be entered - transformation of a quadratic trinomial into a product of binomials - history function to save input - detailed solution - positive and negative numbers, decimals are supported - no ads! [ Usage ] - there are 3 fields for entering the values ​​using a modified keyboard - if values are missing, the text fields are highlighted - you can switch between the solution, input view and history by swiping and / or touching the buttons - the entries in the history can be deleted or sorted manually - if you select an entry in the history, it will be loaded automatically for the calculation - the entire history can be deleted by pressing a button

GraphWeave lets you draw a network by hand and instantly see its geometric and structural properties, computed on the spot and shown in color. Place nodes and links with your finger, and discrete curvature and centrality measures appear right away. ■ Features • Sketch nodes and links directly; drag to arrange them freely • Discrete Ollivier–Ricci curvature for every link • Six node measures: degree, closeness, betweenness and eigenvector centrality, clustering coefficient, and PageRank • Links or nodes are automatically colored on a coolwarm (blue→red) scale, with numeric labels • Save graphs on your device and reopen them anytime to re-analyze • Works fully offline — no account, no network connection ■ Who it's for • Students and teachers learning graph theory and network science • Anyone who wants a hands-on feel for curvature and centrality • Researchers who need a quick look at the structure of a small network ■ Privacy GraphWeave collects no data. Your graphs are stored only on your device and are never sent anywhere. No ads. Metric definitions follow the open-source networkx implementations.