I have a function which is very open-ended that I use in several different applications. Instead of changing it everytime, I would like to pass several command lines as input for the function to evaluate using something like the eval function.
Thus, for example, my argument would be:
str={'a=32;
b=a+3*a^2+pi;
c=sin(a)+cos(b)^2;'}
then I could call the function with str as an argument:
x=func(str)
these lines would be evaluated inside the function
how?
Thanks alot!
I think #Daniel is right that function handles are the way forward. Based on your example, this is how you'd do it:
function x = testfun( a, bfun, cfun )
b = bfun(a);
c = cfun(a, b);
x = a + b + c;
end
Then you'd call it like this:
x = testfun( 32, #(a)(a+3*a^2+pi), #(a,b)(sin(a)+cos(b)^2) );
Related
I have code which is in multiple function files, input to these functions are stored in one file called inputfile.m(script file), in which I assigned some constant values to the inputs. These values act as a input to several function files named degree_eq.m(function file).
How I can write the code so that every time of execution, function files takes the required inputs from the inputfile.m.
Let's say you have two functions, one with your inputs (inputfile) and one where you do stuff (do_stuff).
function [a,b,c] = inputfile()
%define your constants
a=10;
b=100;
c=8.3;
function z = do_stuff()
[a, b, c] = inputfile() %takes the inputs from inputfile.m
z = a*c - b;
You can exploit the fact that matlab variables are persistent outside their scope. Lets say you have 6 constants a,b,c,d,e,f defined in input file. So what can be done is, write a top script called top.m which would be something like
inputfile
degree_eq1(a,b,c)
degree_eq2(c,d,e)
A third approach (combining Nirvedh Meshram and qbzenker answers) is to call an input script inside your MATLAB functions.
The advantage is that you do not have to specify which parameters are needed from or specified in your input script, but this is a disadvantage too, because the needed inputs are not made explicit. So, it is much more error prone. I only recommend this approach for a large number of input variables.
inputfile.m:
a = 5;
b = 8;
c = 10;
degree_eq.m:
function d = degree_eq()
inputfile;
d = a + b + c;
end
As an alternative, you can specify which input file to use:
degree_eq.m:
function d = degree_eq(inputFilename)
eval(inputFilename);
d = a + b + c;
end
and call it as follows:
degree_eq('inputfile');
It was suggested in this comment that there is a difference between how Matlab and Python pass around functions. From what I can tell by looking and using the two, there is no difference between the two, but maybe I'm missing something?
In Matlab, you would create a quick function handle like this:
fun = #(x) x.^2 + 1;
In Python, using a lambda function, you could create a similar function like this:
def fun(x):
return x^2
In both languages, it's possible to send the term 'fun' to another function as an argument - but the commenter I linked to insinuated that they are not the same and/or need to be used differently.
What am I missing?
The first comment seems to simply reiterate the idea that you can pass a MATLAB function handle as an argument (although the answer didn't state anything that would make me think otherwise). The second comment seemed to interpret this to mean that the first commenter thought that you couldn't do this in Python and responded to state that you can use either a lambda or pass the function directly.
Regardless, assuming that you use them correctly, a function handle in MATLAB is functionally equivalent to using either a lambda or function object as an input argument in Python.
In python, if you don't append the () to the end of the function, it doesn't execute the function and instead yields the function object which can then be passed to another function.
# Function which accepts a function as an input
def evalute(func, val)
# Execute the function that's passed in
return func(val)
# Standard function definition
def square_and_add(x):
return x**2 + 1
# Create a lambda function which does the same thing.
lambda_square_and_add = lambda x: x**2 + 1
# Now pass the function to another function directly
evaluate(square_and_add, 2)
# Or pass a lambda function to the other function
evaluate(lambda_square_and_add, 2)
In MATLAB, you have to use a function handle because MATLAB attempts to execute a function even if you omit the ().
function res = evaluate(func, val)
res = func(val)
end
function y = square_and_add(x)
y = x^2 + 1;
end
%// Will try to execute square_and_add with no inputs resulting in an error
evaluate(square_and_add)
%// Must use a function handle
evaluate(#square_and_add, 2)
The given task is to call a function from within another function, where both functions are handling matrices.
Now lets call this function 1 which is in its own file:
A = (1/dot(v,v))*(Ps'*Ps);
Function 1 is called with the command:
bpt = matok(P);
Now in another file in the same folder where function 1 is located (matok.m) we make another file containing function 2 that calls function 1:
bpt = matok(P);
What I wish B to do technically, is to return the result of the following (where D is a diagonal matrix):
IGNORE THIS LINE: B = (1/dot(v,v))*(Ps'*inv(D)*Ps*inv(D);
EDIT: this is the correct B = (1/dot(v,v))*(Ps*inv(D))'*Ps*inv(D);
But B should not "re-code" what has allready been written in function 1, the challenge/task is to call function 1 within function 2, and within function 2 we use the output of function 1 to end up with the result that B gives us. Also cause in the matrix world, AB is not equal to BA, then I can't simply multiply with inv(D) twice in the end. Now since Im not allowed to write B as is shown above, I was thinking of replacing (without altering function 1, doing the manipulation within function 2):
(Ps'*Ps)
with
(Ps'*inv(D)*Ps*inv(D)
which in some way I imagine should be possible, but since Im new to Matlab have no idea how to do or where even to start. Any ideas on how to achieve the desired result?
A small detail I missed:
The transpose shouldn't be of Ps in this:
B = (1/dot(v,v))*(Ps'*inv(D))*Ps*inv(D);
But rather the transpose of Ps and inv(D):
B = (1/dot(v,v))*(Ps*inv(D))'*Ps*inv(D);
I found this solution, but it might not be as compressed as it could've been and it seems a bit unelegant in my eyes, maybe there is an even shorter way?:
C = pinv(Ps') * A
E = (Ps*inv(D))' * C
Since (A*B)' = B'*A', you probably just need to call
matok(inv(D) * Ps)
I have been using MATLAB fminunc function to solve my optimization problem. I want to try the minFunc package :
http://www.di.ens.fr/~mschmidt/Software/minFunc.html
When using fminunc, I defined a function funObj.m which gives me the objective value and the gradient at any point 'x'. It also takes in several external inputs say, {a,b,c} which are matrices. So the function prototype looks like :
function [objVal,G] = funObj(x,a,b,c)
I want to use the same setup in the minFunc package. From the examples, I figured this should work :
options.Method='lbfgs';
f = #(x)funObj(x,a,b,c);
x = minFunc(f,x_init,options);
But when I call this way, I get an error as:
Error using funObj
Too many output arguments.
What is the correct way to call minFunc for my case?
**EDIT : Alright, here is a sample function that I want to use with minFunc. Lets say I want to find the minimum of a*(b-x)^2, where a,b are scalar parameters and x being a scalar too. The MATLAB objective function will then look like :
function obj = testFunc(x,a,b)
obj = a*(b-x)^2;
The function call to minimize this using fminunc (in MATLAB ) is simply:
f = #(x)testFunc(x,a,b);
x = fminunc(f,x_init);
This gives me the minimum of x = 10. Now, How do I do the same using minFunc ?
"Note that by default minFunc assumes that the gradient is supplied, unless the 'numDiff' option is set to 1 (for forward-differencing) or 2 (for central-differencing)."
The error is because only one argument is returned by the function. You can either return the gradient as a second argument or turn on numerical differencing.
Agree with Mark. I think the simplest way to solve it is
minFunc(#testFunc, x_init, a, b, c)
In MATLAB temporary function can only have one return value. So f = #(x)testFunc(x,a,b); let your method drop gradient part every time. Because minFunc can accept extra paramters, you can pass a, b and c after x_init. I think this would work.
I need to substitute a value for s in a transfer function. For example:
G(s)= 1/ (s+3)
I need to substitute
s = -2.118 +2.221j
What code should I use for this?
PS: Unfortunately, I only have control system toolbox in MATLAB.
What's wrong with saving m-file with
function g = transferFun( s )
g = 1 ./ ( s + 3 )
And then calling the function
>> transferFun( -2.118 + 2.221*j )
As shai mentioned you can simply create an m file with the function.
However, if you are just doing some quick calculations here is a way to just do it on the command line. You can define an anonymous function like this:
G = #(s) 1/(s+3)
Now you can simply call it like this:
G(-2.118 +2.221j)
Note that Matlab is case sensitive.