- The objective function signature (function f = HeatExchanger(x)?)
- The solver call (x = fminunc(@HeatExchanger,x0,options?) and any place in the function where you have matrices
- The current definition of x0
How do I format the problem for the Optimization Toolbox?
4 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Carson
el 7 de Dic. de 2013
Comentada: Walter Roberson
el 9 de Dic. de 2013
I am trying to optimize the dimensions of a heat exchanger that pertains to the lowest cost. I've written a function file that requires 5 variables, and returns a total cost. The function file contains non-linear equations that describe the heat exchanger model.
I am using the optimization tool in matlab, I've defined my objective function: @HeatExchanger and have entered a start point for each variable: [320,3,0.04,22000,7]
I keep getting the error: Optimization running. Error running optimization. Matrix dimensions must agree.
I've watched the videos and read through the documentation, but i'm unclear on the format that the start point should be entered in.
I've watched the video that teaches you how to setup the problem, but in the video the user defines it's own variable matrix, but in the tool how can I know what variables x(1)...x(10) are being assigned to.
All the variables should be positive but there are really no constraints, though it would be nice to know the format for entering those as well...
Can anyone please help?
0 comentarios
Respuesta aceptada
Alan Weiss
el 9 de Dic. de 2013
Please give us more information, such as
If you want to try to read the documentation, I suggest that you look at the syntax for objective functions.
Good luck,
Alan Weiss
MATLAB mathematical toolbox documentation
1 comentario
Walter Roberson
el 9 de Dic. de 2013
And along with providing that information, you should restore the text of your previous question, http://www.mathworks.co.uk/matlabcentral/answers/108978-can-i-find-the-minimum-output-of-a-function-file
Volunteers tend to stop assisting people who delete their questions.
Más respuestas (0)
Ver también
Categorías
Más información sobre Problem-Based Optimization Setup en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!