Simple program that makes it faster and easier to solve simultaneous equations using the solve command.
This customised function solves one type of non-linear system
of 3 simultaneous equations in 3 unknowns: k, L and r0 in 3 equations with 4 knowns: zeta, eeta, d and angle.
function matrixresults =...
Fully documented script file but this essentially solves the simultaneous equations Yvonne presented in a previous thread and does so for two 1 x 4 vectors. I then built four graphs and displayed them all on one plot.
A function to solve simultaneous equations in two variables.
>>> solve('3*x + 5*y = 29; 12*x - 3*y = 24')
Two applications to set up Analog Computer using operational amplifiers have been shown here using Simscape 2.1 version. The applications solve
i) Simultaneous Equations X+Y=2; 2X+Y=2.5 and
ii) Differential Equation...
a must be a n x n matrix of coefficients and
b must be a n x 1 matrix of constants
Example usage to solve this system of 2 simultaneous linear equations in 2 unknowns:
2x + 4x = 3 and
3x + 5x =...
solvesimul.m can be easily adapted to solve more equations but as it stands it will solve 2 unknowns in 2 equations (1 non-linear and one linear).
To solve equations of this form...
a*x + b*y = A (1)
a1*x^2 + b1*y^2 =...
symsolvesimulv2.m can be easily adapted to solve more equations but as it stands it will solve 2 unknowns in 2 non-linear equations (can be linear too or a mixture).
Big change: It now has data input integrity checking.
Solves simultaneous linear equations of any order using Crammer's rule. Required input is two lists..one for coefficients, and other for constants
x+4y=6 will be written as
Lagrange is a function that calculate equations of motion (Lagrange's equations)
It Uses the Lagrangian that is a function that summarizes the
dynamics of the system. Symbolic Math Toolbox is required.
Graphical user interface (GUI) is used to solve up to two ordinary differential equations (ODEs). Results can be plotted easily. Choose between MATLAB's ode45 (non-stiff solver) or ode15s (stiffer solver).
This is primarily a teaching...
this is a simple GUI program to plot a beautiful graphs from mathematical equations
Durand-Kerner method for solving polynomial equations.
Halley's method for solving equations of type f(x)=0.
Just a little bit of hack: a linear equations solver using eval and built-in complex numbers:
>>> solve("x - 2*x + 5*x - 46*(235-24) = x + 2")
It Solves linear homogeneous and non homogeneous differential equations with constant coefficients. The inputs and outputs are in symbolic format. You enter the symbolic differential equation and you get the answer in symbolic format.
For an input of n equations, it converges to the solution.
For an input of >n equations, there is no exact solution. In this case, the function minimizes sum( (individual equation errors).^2)
It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations. In case no Jacobian vector is presented, then the initial Jacobian vector is estimated by Broyden Method (multivariate secant approach) and it is...
It is application of of Simulink Block to Cardiac PDE VI1 system of 2 non linear coupled equations of PDE and try to design solution with dicretized space and time and issue in 1D.I associate a Doc file to introduction theory.Just see this page...
This function solves the linear fractional-order differential equations (FODE) with constant coefficients. The short memory principle has not neen used here, so the length of input signal is limited to few hundred samples. The parameters of the...