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Symbolic Computations
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 Symbolic Computations 

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The topics covered include an introduction to MATLAB, matrix operations, 2-D and 3-D visualizations, data processing, and symbolic computations using the Symbolic Math Toolbox.
The files are ordered as they appear in the examples presented in the book.

For a symbolic input function f, returns the symbolic Hessian matrix. A real time saver imho
I don't know how useful anyone will find this, but eh, my professor made us do it on the test, so I figure this will save at least someone the...

A symbolic toolbox that provides MATLAB users with all of the symbolic and high-precision numeric capabilities of Mathematica. It uses the MathLink communication standard supplied with Mathematica and the MEX facility of MATLAB. In addition, since...

Based on Symbolic Math functions and GUIDE flexibility, this software help to solve easily polynomial functions analysis.User just enter polynomial functions like f(x)/g(x) with f(x) = ax^n + bx^(n-1) + ... C and g(x)= a1x^n + b1x^(n-1) + ... D ;...

This video describes symbolic math functions in MATLAB in the Czech language. It's the tenth part of complete video tutorial about MATLAB and SIMULINK. Symbolic Math Toolbox is needed.
AVI file is compressed by WinZIP, TechSmith Screen...

The second edition of "Linear Signals and Systems" (LSS2) by B. P. Lathi provides a significant MATLAB component, which is presented from a signals and systems perspective. All of the text's MATLAB code is available from this site. Code...

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).

This allows you to use a neural network model without relying on the neural network toolbox.


A wrap of lsqnonlin to calculate Jacobian using symbolic math toolbox. This is one of applications of symbolic math toolbox for optimization. Due to limitations of the symbolic math toolbox, the objective function must be supported by the symbolic...

A wrap of fmincon to calculate gradients using symbolic math toolbox. This is one of applications of symbolic math toolbox for optimization. Due to limitations of the symbolic math toolbox, objective and constraint functions have to be supported...

Programs and utility functions using the Symbolic Math Toolbox are provided to analyze vectors and tensors in general curvilinear coordinates. The programs perform the following functions:
1) runcoord plots intersecting coordinate surfaces...

We use the power of symbolic toolbox in order to find the optimal point in an arbitrary multivariate function
Change the following code based on your objective function and run the program

Function F in Symbolic Format

This e-book is based on the Student Edition of MATLAB 7, which includes a symbolic toolbox. The Professional Edition may of course also be used. The goal is to exploit a restricted subset of MATLAB commands and functions to explore most of the...

RA=ROUTH(R,EPSILON) returns the symbolic Routh array RA for polynomial. The following special cases are considered:
1) If the first element of a row becomes zero
2) If one encounters a row full of zeros.


These files introduce how Symbolic Math Toolboxd-OC?D? can be used to evaluate Nelson Siegel and Svensson models, which are 2 widely used techniques for modeling yield data. We demonstrate how you can define the models in the MuPAD notebook...

mex c++ interface to call Eureqa server directly from matlab
The code enables symbolic regression with possible user-defined operators (such as +, -, *, /, ^, exp, log, sin, cos, abs, tan). Applications range from a detection of hidden data...

Evaluates Racah formula for Wigner 3-j symbol using the Symbolic Toolbox

Maple is a great tool for symbolic manipulation and is also very smart at plotting expressions, handling discontinuities,etc.

However the plot customization and export possibilities are very primitive. Also, often I want to superimpose...

A very easy symbolic method for reduction of block diagrams or signal flow graphs with Matlab is presented. The method can be applied to every kind of diagram and it is possible to obtain in one stage all transfer functions for a given input. The...

Autocorrelation of a vector of symbolic variables
SYM_AUTOCORR Autocorrelation of a symbolic vector
[V, VCORR] = SYM_AUTOCORR(SEQLEN), where SEQLEN>=1 is the length of the
sequence whose autocorrelation is to be calculated. V is...

A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation.

This function produces a matrix of arbitrary dimension of symbolic elements...