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Matlab 2012 versus 2017
Matlab 2012 versus 2017













  1. #Matlab 2012 versus 2017 code
  2. #Matlab 2012 versus 2017 series
  3. #Matlab 2012 versus 2017 mac

It is generally not a good idea to do this.

#Matlab 2012 versus 2017 code

The reason that your MATLAB code is ‘slow’ is that every single iteration of the loop that computes the fern you are updating the plot. …mrt Posted in Uncategorized Post navigation

matlab 2012 versus 2017

A picture is worth one kilo-word, and you’ll have it in a blink. I’ll pass on along any observations MatLab veterans may make. That may mean the MatLab script is not optimum.

#Matlab 2012 versus 2017 mac

The Mac won’t accept the assignment of the array.Īnd finally, while it’s less than half the points, it’s much less than half the time to run. I can’t make the code run on a Mac, where we’re stuck at VBA5. Z() is a variant re-dimed to the dimensions of the matrix multiplication, meeting the specifications MMULT() requires in a spreadsheet–two rows by one column. Matrix Multiplication in VBA requires dimensioning the VB arrays as if they were cell arrays so that the worksheet function MMULT() can be used.

#Matlab 2012 versus 2017 series

As expected, the Sheet1 ranges are the same dimensions as the ZX and ZY arrays, which are at the series limits, and allows copying the arrays to the spreadsheet. MatLab doesn’t need a spreadsheet to plot, so if there’s a way in Excel to plot values without going through a spreadsheet, would someone please so describe. The Excel limit is supposedly a series limit, but I could never plot two series totaling over 32K points. MatLab can plot at least 70,000 points, while Excel is limited to 32,000. Some observations: You don’t dimension variables in MatLab and case matters, with x being a different variable from X. We have to do this or the WordPress parser treats them as HTML tags and doesn’t present the complete information, trying as it does to helpfully shorten everyone’s code. Make the substitutions after you paste in the code to a new workbook. Location Where:=xlLocationAsNewSheet, Name:=”Fern”Īgain, GT is “Greater Than” and LTE is “Less Than or Equals”. SetSourceData Source:=Sheets(“Sheet1”).Range(“A1:B32000”), PlotBy:=xlColumns Pause(0.01) % Pause values less than 10ms makes no differenceĮlseif (dd GT 0.025) & (dd LTE 0.125)Įlseif (dd GT 0.125) & (dd LTE 0.225)Ībove, GT is “Greater Than”, LTE is “Less Than or Equals” and & is an ampersand.

matlab 2012 versus 2017

% We use tic/toc timing to measure execution time % 4 Matrices are key to the IFS Fractal description X= % 3 Initial points size the output axes Hold on % Points accumulate in the window as an animation Pause(5.) % An opportunity to re-size the Figure window % It takes about 2-3 minutes to complete the drawing % should be a graphic drawn by an Iterated Function System. Also author will compare two methods of analysis: by using standard MATLAB functions versus using PPLANE, and then conclusion will be drawn: which method is more intuitive and qualitative in terms of received information.% This is an exercise with MatLab Graphics and Flow Control. The main objectives of this bachelor’s thesis are to review theoretical information, that can be used in analysis of the autonomous second order systems with phase plane method, and then to use this information for practical purposes (by resolving some examples from different courses). Tool can be used in a research of different models and has many useful features such as plotting given solutions versus the independent variable and finding equilibrium points of the system, as well as displaying linearization around equilibrium points.

matlab 2012 versus 2017

PPLANE is a tool for MATLAB, which allows to plot trajectories and phase portraits of autonomous second-order systems.

matlab 2012 versus 2017

The purpose of this work is to describe PPLANE tool and its possibilities for use in nonlinear control theory.















Matlab 2012 versus 2017