A powerful and comprehensive application that helps users identify any mathematical formulas that can be computed within datasets
|Version||0.99.8 Beta (Build 4023)|
|Updated||Apr 3rd 2014|
Nutonian Inc. N/A N/A
|Original File Size||9.1 MB|
Whenever you are working with large datasets of numbers, it is pretty hard to find a mathematical connection or function that can link the datasets together. Fortunately, computers can process complex mathematical equations faster than humans do, so using a program that can find a connection between apparently random datasets can greatly ease off your work.
Eureqa is a complex application that uses symbolic regression in order to help you find mathematical functions and dependencies between apparently random and large datasets.
The application can determine a mathematical link between large sets of numbers, thus computing the closest equation that can calculate a certain function. By providing the dataset that needs to be processed, you can select the complexity of the function that will be calculated.
You can select which number sets are used to compute the equation, a feature that can help you sort independent variables from codependent ones.
Furthermore, if your data is too random or hard to process, you can always bring it to a medium level, by smoothing any unusually high or low variables.
In addition, errors can be corrected or avoided by the program, depending on your preferences. This helps you create statistical data leveling, because your output equation will show the correct result after the processing is complete.
Once the data processing begins, the program will display any solution found, along with a graph that shows the efficiency of each result found. This helps you get a glimpse of how much are your datasets connected, since you will find results faster if any relevant mathematical function solves each row from the datasets.
Eureqa Crack uses a powerful engine based on symbolic regression to help you find any intrinsic relationships in large datasets, explaining them using mathematical connections and functions.
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