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This is a toolbox (software library) for computing with matrices of Clifford algebra multivectors in MATLAB. It is designed to handle numerical computations with matrices as far as these are defined for matrices of multivectors. The toolbox is designed to work in the same way as MATLAB's own functions by overloading standard MATLAB functions with Clifford multivector versions. The toolbox can compute with any Clifford algebra with signature (p,q,r) but only with one algebra at a time. From version 2 of the toolbox onwards, computation is also supported with conformal geometric algebras (CGA), based on an underlying Clifford algebra to provide the numerical computation. ...

...It is not a very eficient way, as we must calculate al the derivatives of the polinomial, implying very high numbers (n!), that make the needed precision increase, making the computational complexity for high-degree polinomials poor. But I have been able to make it work with a 40-degree polynomial, with two very proximal zeroes arround x=1000. It needs a precision of arround 60 digits. The problem comes with very-high degree polynomials. The higher is the degree, the faster the execution time increases. But for common examples, the application does the job well. You will find more about it at this web site: https://www.frojasg1.com:8443/downloads_web/web/html/raicesDePolinomios.html?...

The econ theory is the value of buy and sell are usually equal, at whatever free market price at the time, so if we trade between 2 things, holding the total of those 2 equal eachother, then you can buy without anyone selling, or sell without anyone buying. Just change from one equal valued type to the other, and the total of all the A's and all the B's are scaled instantly to be the same amounts. Those who change to the majority side lose, and those who change to the minority side win,...

CTSA is a C software package for univariate time series analysis. This is a work in progress. ARIMA and Seasonal ARIMA models have been added so far. Other functionality will be added soon . Documentation - https://github.com/rafat/ctsa/wiki

Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of...