C code that will perform nonlinear regression for the data given in the file namedexp.zip which contains 61 x; y values of the equation y = a0(1 - exp(a1x)) with x = 1....
Console
CHere is a program : Given n number of linear equations in m variables, this program finds the solution matrix which is then interpreted to state the solutions(if possible) of the equations or tell if there are infinite solutions....
Linux programming CThis is a homotopy algorithm used to solve nonlinear equations MATLAB source code, you can embed any nonlinear equations in order to solve nonlinear equations, reducing many tedious steps for users...
Algorithm
MatlabA simple three unknowns equations Solver, used to solve theree unknowns nonlinear equations, source code can be modified to suit your needs...
Matlab MatlabIn 1985, Powell multivariate interpolation method of radial basis function (RadicalBasis Function). In 1988 Moody and Darken a neural network structure is proposed, namely RBF Neural network, which belongs to the feedforward neural network type, it can be arbitrary-precision approximation of arbitra...
Matlab MatlabGenetic algorithm for solving nonlinear Multivariable equations, initialized by a population, the fitness function, select operator and crossover operator, mutation process termination condition is the loop algebra, solving accurate convergence well you can solve many other problems, such as optimiz...
CSharp
C++Describing function of saturation nonlinearity Background on Describing Function Analysis Describing function analysis is a widely known technique to study frequency response of nonlinear systems. It is an extension of linear frequency response analysis. In linear systems, transfer funct...
control systems MatlabThis paper proposes a partial nonlinear model to accurately represent the nonlinear saturation characteristic of a current transformer (CT). Based on the model, the saturated section of the secondary current as well as the unsaturated section can be used in a regression process to estimate...
Matlab MatlabIn mathematics, the Gauss elimination method (or the translation: Gauss elimination method) is an algorithm in linear algebra that can be used for System of linear equations, obtained the rank of a matrix, and find the inverse matrix of Invertible matrices. When a matrix is used in Gauss elimination...
Matlab MatlabFortran solving matrix linear equations, there are examples that can be run directly / 'PS: This software can calculate both linear equations Ax = b, you can calculate the matrix equation AX = B') Purpose: elimination method for solving the matrix equation !&nbs...
Algorithm FortranRate equation for lasers simulationNon linear rate equationSolving single mode rate equations for gain switched laser with injection and non injection case...
Matlab MatlabConnect the computer and DSP emulator for all lab equipment is powered on, open the CCS3.3 and connect card. Plug the video cable connection Board input, connect the monitor inputs on the other side, turn to AV mode the display. Open the project NolinearLogTransform.pjt, compile, download and run. T...
dsp CIt is a nonlinear model of a inverted pendulum. The simulation used euler algorithm to the differential ecuations. It could be modificated easily for control propuses....
Matlab MatlabOptimization Matlab source code collection, including optimization of linear regression and nonlinear regression. Source contained fit function for more than one function, fminsearchchbnd min search. Source contains multiple files, but no annotation....
Matlab MatlabStudy on application of MATLAB in the nonlinear curve fitting, very useful, you know, and I'm not learning this stuff, it is very helpful....
Matlab MatlabSystem using BP neural network nonlinear mathematical model of the relationship between data, using three-layer BP network based on Matlab neural network Toolbox, comparing the predicted results and experimental data, the results show that the model predictions agree well with the experimental value...
Matlab MatlabSystem introduced by BP neural network nonlinear mathematical model of the relationship between data, using three-layer BP network based on Matlab neural network Toolbox, simulations will be compared to predicted results and experimental data, the results show that the model predictions agree well w...
Matlab Matlab
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