Symbolic Interaction Theory

Math::Symbolic is a Perl module that aims at providing means of symbolic computation to the Perl programmer without resorting to any (non-Open Source) external libraries and/or applications.

Java library offering theory of sets/set theory functionality (complement, intersection, symetric difference, union, cartesian product and powerset). There's also an ant task/ant tasks included that provides the library's functionality

LGV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how many times you want to


Platforms: Mac

FREE Lite Version of LGV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m


Platforms: Mac

In this 3rd tutorial in our series on Music Theory, Master Arranger and Composer Gregg Fine explores the nature of Rhythm and why it’s the driving force in music and composition... Rhythm is at the very essence of being. Our hearts beat. We walk and


Platforms: Mac

PCV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how many times you want to


Platforms: Mac

FREE Lite Version of PCV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m


Platforms: Mac

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.Note I only implemented for feed forward nets (MLPs) and not all possible...


Platforms: Matlab

Intended for an introductory course in control systems and for the practicing engineer, the goal of this book is to present a unified treatment of conventional and modern continuous control systems, and to show how to apply the theory presented to realistic design problems.For a full book...


Platforms: Matlab

This book is designed for an advanced course and is a companion volume to the introductory text, Modern Control System Theory and Design, 2e. In addition, it can serve as a text for practicing control system engineers who need to learn more advanced control systems techniques in order to perform...


Platforms: Matlab

Analysis and simulation of orbits in the circular-restricted three-body problem (CRTBP), where primary and secondary bodies move in circular orbits about the common center of mass, and effect of gravitational attraction of the smallest body are ignored. The applications described here are for...


Platforms: Matlab

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 interface and perform some basic analysis and...


Platforms: Matlab

mex c++ interface to call Eureqa server directly from matlabThe 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 relationships to nonlinear regression of different kinds...


Platforms: Matlab

Functions for Information theory, such as entropy, mutual information, KL divergence, etcThis toolbox contains functions for discrete random variables to compute following quantities:1)Entropy2)Joint entropy3)Conditional entropy4)Relative entropy (KL divergence)5)Mutual information6)Normalized...


Platforms: Matlab

Computing the main parameters of a Water wave, using the small amplitude wave theory.Inputs: d = water deep (m) H = wave height (m) T = wave period (s) z = depth below the SWL (m) anitime = time animation (s)Outputs: k = wave number sigma = Frecuency L = wave length C = wave phase velocity Cg =...


Platforms: Matlab

This is a self-contained package for running feature selection filters: Given a (usually large) number of noisy and partly redundant variables and a target choose a small but indicative subset as input to a classification or regression technique.For background information, see e.g: Gavin Brown,...


Platforms: Matlab

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 method is validated with some examples, including...


Platforms: Matlab

Techniques from information theory are usual for the selection of variables in time series prediction or pattern recognition. These tasks involve, directly or indirectly, the maximization of the mutual information between input and output data. However, this procedure requires a high...


Platforms: Matlab

Autocorrelation of a vector of symbolic variablesSYM_AUTOCORR Autocorrelation of a symbolic vector[V, VCORR] = SYM_AUTOCORR(SEQLEN), where SEQLEN>=1 is the length of thesequence whose autocorrelation is to be calculated. V is a symbolicvector of length SEQLEN that the function constructs and...


Platforms: Matlab

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 that are indexed by their position in the symbolic matrix for...


Platforms: Matlab