Equation Solver 1.0.0 Crack With Serial Number
Equation Solver is a feather-light and portable piece of software designed to help you execute second (a*x^2+b*x+c=0) and first (b*x+c=0) degree equations, along with simple linear systems (a1*x+b1*y+c1=0 and a2*x+b2*y+c2=0).
It doesn't come packed with complicated options or configuration parameters, making it accessible to math students who don't have heavy PC experience.
Download Equation Solver Crack
| Software developer |
Vegetta
|
| Grade |
4.9
784
4.9
|
| Downloads count | 7790 |
| File size | < 1 MB |
| Systems | Windows XP, Windows Vista, Windows 7 |
You can save the app files anywhere on the disk or on a USB storage device and just click the executable file to immediately launch Equation Solver on any machine with minimum effort. More importantly, it doesn't add new entries to the Windows registry, so it doesn't increase the risk of OS stability issues.
Represented by a common window with a simple structure, the interface doesn't put emphasis on the visual aspect but it's easy to figure out.
After selecting an option between equation or system to check, you can enter the required variables and click a button to instantly calculate the real or complex roots, as well as find out the polynomial degrees.
Apart from the fact that you can clear all fields with one click and restart the calculation by entering different variables, there are no other notable options provided by this piece of software. For example, it's not possible to export results to file by clicking a button, but you can make a text selection and copy it to the Clipboard by opening the right-click menu.
Unsurprisingly, the software tool has minimal impact on computer performance in our tests, using low CPU and RAM. No error dialogs popped up, and it didn't hang or crash.
Although it doesn't bring rich features and configuration parameters to the table, Equation Solver Serial provides math students with a simple solution to swiftly calculating first and second degree equations, together with simple linear systems.