I am really loving this combination of the power of “indefinite” math along with powerful numeric functions. Best to refer to the Matlab documentation on the toolbox for more information and examples on this. I want to now check it out for the basic transforms – Fourier, Laplace, Z, etc. It also does all the standard integration, differentiation, and even Taylor’s series expansion 🙂 and has a lot of applications. Statistics and Machine Learning Toolbox Version 10.0 (R2015a) Symbolic Math Toolbox Version 6.2 (R2015a) System Identification Toolbox Version 9.2 (R2015a) SystemTest Version 2.6.9 (R2015a) Trading Toolbox Version 2.2 (R2015a) Vehicle Network Toolbox Version 2.4 (R2015a) Vision HDL Toolbox Version 1.0 (R2015a) Wavelet Toolbox Version 4.14.1. Note the usage of the function solve() which is typically used to solve for variable given a polynomial equation. Rxx = Īnd you have the possible solutions for this variable z. What symbolic math toolbox allows you to do is, define a variable – say z.

However, now consider a 20×20 matrix 🙂 Its terrible to compute its determinant, and then there is still an equation to solve. Its a simple quadratic equation, and it can be solved for. You want to obtain a value for this, such that the determinant of the matrix goes to 0. Consider a simple 3×3 symmetric matrix, whose non-diagonal corners are equal, and unknown.

The example where I used it is like this. This is the Symbolic Math Toolbox, and its uses are numerous.Īlthough I am sure it requires a lot of development, specially compatibility of integrating with other data types that Matlab supports, for starters, it seems like a really nice feature. Maybe higher and more complex graphing calculators can do indefinite stuff too! However, I just found this very interesting ability to use a math symbol, typically x, so far known to exist only in Mathematica. Your scientific calculator now does definite integration, differentiation, etc.

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