y^2=x^3-x+6
To calculate Francis turbine hill curves using MATLAB, you typically start by defining the turbine parameters, including flow rates and head values. You can then create a function that models the turbine performance based on the specific speed and efficiency. Using the plot function, you can visualize the relationship between head and flow rate to generate the hill curves. Additionally, you might use optimization techniques to refine the performance predictions based on operational conditions.
Initially, the equation can be directly realized using Matlab source code. Then various inputs can be applied to it. These values can easily be plotted on a graph using plot or stem command in Matlab.
To plot a Probability Density Function (PDF) in MATLAB, you can use the "histogram" function with the 'Normalization' parameter set to 'pdf'. This will create a plot that represents the PDF of your data.
plot(abs(fft(vectorname)))the FFT function returns a complex vector thus when you plot it, you get a complex graph. If you plot the absolute value of the FFT array, you will get the magnitude of the FFT.
To add two signals in MATLAB, you can simply use the plus operator (+). For example, if you have two signals stored in arrays signal1 and signal2, you can add them together using result = signal1 + signal2;. Ensure that both signals have the same length; otherwise, MATLAB will return an error due to dimension mismatch. After adding, you can plot the result using the plot function for visualization.
To plot each value of a vector as a dirac impulse, try stem instead of plot.
stem(x) will plot a graph in discreet form
stem(x) will plot a graph in discreet form
MATLAB is a software program that helps people with doing math. More specifically, it helps people with visualization, programming, and computation. MATLAB plotting should be done in plot edit mode.
imhist(x); where 'x' is your data or image to find histogram.
To graph indifference curves from utility functions, you can plot different combinations of two goods that give the same level of satisfaction or utility to a consumer. Each indifference curve represents a different level of utility, with higher curves indicating higher levels of satisfaction. By using the utility function to calculate the level of satisfaction at different combinations of goods, you can plot these points to create the indifference curves on a graph.
after you plot, type axis([xmin xmax ymin ymax]) and that should do it.