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 a='(x1^2+x2-11)^2+(x1+x2^2-7)^2';
The code will iterate and converge to x and y of the optimal point
Single tank system nonlinear model was develop & finding the operating point of it using script file of the matlab with solving of ode for it and ploting the response
Demo files used in "Simulink Fixed-Point Tutorial R2008a (Japanese)".
Gauss numerical integration of univariate funcitons by 7-point Gaussian quadrature. Very accuracy and fast.
This function generate the point-spread function for a widefield microscope using a scalar diffraction-limited model (Stokseth refer to [1] and [3] below) ---------------- Input parameters: lambdaEx: Excitation Wavelength (in nm)
Piecewise cubic spline interpolation and approximated calculation of first and second derivative at the interpolation point.
A point X* is said to be Pareto optimal one if there is no X such that Fi(X)<=Fi(X*) for all i=1...n, with at least one strict inequality. These points are also known as non-dominated, non-inferior, or efficient points.
This m file allows you to test if a point P is located in the area of a rectangle
distributes points around a given point on a through a normal determined plane and gives their coordinates back
Computes the distance 2-point correlation function of a finite 2D lattice. The functions is:
[ coorfun r] = twopointcorr(x,y,width,height,dr)
Where x is the list of x coordinates of lattice points. y is the list of y...
any floating point number is separated into two parts i) integer ii)floating point for ex if x=-12.93 the program gives -12 and .93 as the two outputs format:[p,q]=truncate(x); where x is a floating point number
API for User Written Fixed-Point and Floating-Point S-Functions. A supplement to Release 13 of Simulink and Fixed-Point Blockset.
Version 0.9.0 Beta 1 January 8, 2003
Feedback on this beta should be sent to
Useful helper function that rounds scalars, vectors or matrices smaller/bigger than zero at a defined place after the decimal point. Needs two input arguments to work properly: out = sRound(val, precision)
Usage: out = sRound(val,...
There are challenges to face when programming in fixed-point code manually. Similarly, care is required in automatically generating fixed-point code. The developer must pay attention to design tradeoffs, namely: accuracy, efficiency, ROM, RAM,...
There are challenges to face when programming in fixed-point code manually. Similarly, care is required in automatically generating fixed-point code. The developer must pay attention to design tradeoffs, namely: accuracy, efficiency, ROM, RAM,...
This file deletes the blank margins of all images that is in the same folder. This is very useful for adjusting the figures generated by MATLAB.
Solves the linear least squares problem with nonnegative variables using the newton's algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative...
Solves the linear least squares problem with nonnegative variables using the predictor-corrector algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with...
Here i share my experiences working with fixed point modelling of real time embedded control systems as well as porting the same to ECU. A brief picture of background of fixed point coding and modelling is also given. This document will serve as a...
The plugin's quite simple and straight to the point, doesn't do more than described above. You'll be surprised how short and simple the code is too ;)
Installation
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