Function from a multivariable function in MATLAB - matlab

I have a function that returns three values [A,B,C]=ABC(x).
Is it possible to define a function A(x) in an elegant way such that returns the first value of ABC(x), B(x) for the second value, etc.?
Thanks

Not completely clear whether you really mean that ABC returns a vector, or that it returns three values (each of which might be any object). If you really mean "vector" with three elements, [A B C]. then you could do:
function a = A(x)
temp = ABC(x);
a = temp(1);

As you wrote your function ([A,B,C]=ABC(x)) it does not return a vector per say, it returns 3 values.
If you call your function like this
a = ABC(x)
a would be equal to A.
EDIT :
function b = B(x)
[~, b, ~] = ABC(x)
end

You could include a 2nd input argument if it is acceptable to you. You could use varargin to accept variable number of input arguments.
function outValue=ABC(varargin);
if nargin==0
error('Need at least one argument');
elseif nargin==1
%obtain result
outValue=result;
elseif nargin==2
%obtain result
outValue=result(index);
else
error('Function accepts maximum of 2 arguments');
end
end

Related

How to write the following function so that gradient can be found before putting the variable values

function [y] = sumsqu(xx)
d = length(xx);
sum = 0;
for ii = 1:d
xi = xx(ii);
sum = sum + ii*xi^2;
end
y = sum;
end
Above is the code for d variables. Whenever I call the function I get the sum as expected. Now I want to find the numerical gradient of the function. But since the function is returning a scalar value, gradient returns 0 obviously. What can I do so that gradient first evaluates in its variable form then return an array corresponding to [x1 x2 x3....xd]?
As you can see in the picture, I want it in that order. And I also want d as a variable so that code can be generic. Hope you understood my problem.
Your function does exactly this:
y = sum(xx.^2 .* (1:numel(xx)));
The derivatives then are:
y = 2*xx .* (1:numel(xx));
(according to the hand-written equations).
You should avoid using sum as a variable name, you can see above that it is an important function, if you assign a value to sum, you hide the function and can no longer use it.
For your specific function, you can calculate the gradient analytically like:
g = 2*(1:length(xx)).*xx;
You can also replace the call for length(xx) by d if it is given.

Calling if else output to other script

I have written a function called "tension.m" in which I have used if else condition as shown below.
function [T,T_earlyvalues,T_latervalues] = tension(u,sigma,G,N,K)
%the values of sigma,G,N,K can be taken arbitrary.
sigma=2; G=3;N=8;K=1; v=1;
w=2.2;
if u<w
T =v*sqrt(sigma+G^2/(N-K));
T_earlyvalues=T;
else
T=(2*v)*sqrt(sigma+G^2/(N+K));
T_latervalues=T;
end
Now in another script "myvalues.m" I need to call T_earlyvalues and T_latervalues separately.
%have some coding before this part
sigma0=2400; lambda=1.3; v=2; sigma=2; G=3;N=8;K=1;
u=0:0.01:5;
T=tension(u,sigma,G,N,K);
T_earlyvalues=tension(u,sigma,G,N,K);
T_latervalues=tension(u,sigma,G,N,K);
deltaA=T_earlyvalues*sigma0*pi;
deltaB=T_latervalue*lambda*pi/2;
%have some coding after this part
How could I call the said values which are under if-else statement from tension.m function to myvalues.m script?
You have defined the tension function such that it returns three outputs.
If you call that function by requiring only one output, the function returns the first value, in your case, T
This implies that
T=tension(u,sigma,G,N,K);
shoud work since T is the first output parameter
T_earlyvalues=tension(u,sigma,G,N,K);
T_latervalues=tension(u,sigma,G,N,K);
are not working, since, actually tension returns the first value (T, whjikle you are expecting the second and the third respectively.)
You can cahnge the two above calls this way:
[~,T_earlyvalues,~]=tension(u,sigma,G,N,K);
[~,~,T_latervalues]=tension(u,sigma,G,N,K);
The ~ allows to avoid the function return the output paraemter.
You can find additional information here
Notice that in your function T_earlyvalue is not set in the else block, same for T_latervalue in the if block.
This will generate an error such as
Output argument T_earlyvalue (and maybe others) not assigned during call to tension
or
Output argument T_latervalues (and maybe others) not assigned during call to tension
You can initialize the output values to default values, at the beginning of the function, for example:
T=NaN
T_earlyvalue=NaN
T_latervalues=NaN
You can then use these special values (or any other you want to use) to trace, for example, if the if block has been executed or the else.
There seem to be a number of issues here, not the least of which is some confusion about how output argument lists work when defining or calling functions. I suggest starting with this documentation to better understand how to create and call functions. However, this issue is somewhat moot because the larger problem is how you are using your conditional statement...
You are trying to pass a vector u to your function tension, and from what I can tell you want to return a vector T, where the values of T for u < w are computed with a different formula than the values of T for u >= w. Your conditional statement will not accomplish this for you. Instead, you will want to use logical indexing to write your function like so:
function [T, index] = tension(u, sigma, G, N, K)
T = zeros(size(u)); % Initialize T to a vector of zeroes
w = 2.2;
index = (u < w); % A logical vector, with true where u < w, false where u >= w
T(index) = u(index)*v*sqrt(sigma+G^2/(N-K)); % Formula for u < w
T(~index) = 2*(u(~index)-v)*sqrt(sigma+G^2/(N+K)); % Formula for u >= w
end
Now you can call this function, capturing the second output argument to use for identifying "early" versus "late" values:
sigma0 = 2400; lambda = 1.3; v = 2; sigma = 2; G = 3; N = 8; K = 1;
u = 0:0.01:5;
[T, earlyIndex] = tension(u, sigma, G, N, K); % Call function
T_earlyvalues = T(earlyIndex); % Use logical index to get early T values
T_latervalues = T(~earlyIndex); % Use negated logical index to get later T values
And you can then use the subvectors T_earlyvalues and T_latervalues however you like.

MATLAB: Cannot properly evaluate function using input vector

I am trying to pass a vector into a function, and evaluate the vector over a piecewise function. When I run the code below, I am only returned a single number rather than a vector. Any ideas?
Thanks!
t[-5:1:50]
velocity(t)
function [v] = velocity( t )
%This function takes vector 't' and evaluates a velocity over a given
%piecewise function
if t>=0 & t<=8
v=10*t^2-5*t;
elseif t>=8 & t<=16
v=624-5*t;
elseif t>=16 & t<=26
v= 36*t+12*(t-16)^2;
elseif t>26
v=2136*exp(-0.1*(t-26));
else t<0
end
When you elevate a vector to the square, you are performing a scalar product with itself.
Replace t^2 with t.^2 for element-wise operators.
Do the same for (t-16).^2.
All the other operators should fall automatically into the element wise case but you can add points before them to be sure.
And, furthermore, the conditions as you have wrote them apply to a t as a scalar value. You can get the researched effect by doing the following:
Instead of
if cond1:
v = something
elif cond2:
v = something_else
Do
indices1 = (cond1) % where cond1 is t < 10 for example
indices2 = (cond2) % and cond2 is t >= 10
v[indices1] = something
v[indices2] = something_else
I hope you get the gist.

Matlab: about default value(s) returned by a matlab function with multiple return values?

To define a function with multiple return values it should be like
function [x, y] = name_function(a, b, c)
So when I call the function, normally I will use
[x, y] = name_function(a, b, c)
But what if I used
z = name_function(a, b, c)
What would z be?
I tried and it is x got returned. So I think if I use the grammar like this, it will always get the first return value, am I right? Any reference?
It seems not like that. Because
d = eig(A)
[V,D] = eig(A)
How can I know how to make sure about this when I define a function in Matlab?
Normally it will always returns the first value. To read on, check out here.
But, as #JoshG79 pointed out, functions can query the number of function output arguments and perform differently. Check out doc:nargout for more info.

Merging function handles in MATLAB

I'm currently coding a simulation in MATLAB and need some help in regards to an issue that I've been having.
I'm working on a problem where I have n separate anonymous function handles fi stored in cell array, each of which accepts a 1×1 numeric array xi and returns a 1×1 numeric array yi.
I'm trying to combine each of these anonymous function handles into a single anonymous function handle that accepts a single n×1 numeric array X and returns a single n×1 numeric array Y, where the i-th elements of X and Y are xi and yi = fi (xi), respectively.
As an example, let n = 2 and f_1, f_2 be two function handles that input and output 1×1 arrays and are stored in a cell array named functions:
f_1 = #(x_1) x_1^2
f_2 = #(x_2) x_2^3
functions = {f_1, f_2}
In this example, I basically need to be able to use f_1 and f_2 to construct a function handle F that inputs and outputs a 2×1 numeric array, like so:
F = #(x) [f_1(x(1,1)); f_2(x(2,1))]
The question is how to generalize this for an arbitrary number n of such functions.
It is difficult to define such a function using the inline #()-anonymous
syntax (because of the requirement for the function’s body to be
an expression).
However, it is possible to define a regular function that runs over
the items of a given vector and applies the functions from a given
cell array to those items:
function y = apply_funcs(f, x)
assert(length(f) == length(x));
y = x;
for i = 1 : length(f)
y(i) = feval(f{i}, x(i));
end
end
If it is necessary to pass this function as an argument to another
one, just reference it by taking its #-handle:
F = #apply_funcs
This can be solved using a solution I provided to a similar previous question, although there will be some differences regarding how you format the input arguments. You can achieve what you want using the functions CELLFUN and FEVAL to evaluate your anonymous functions in one line, and the function NUM2CELL to convert your input vector to a cell array to be used by CELLFUN:
f_1 = #(x_1) x_1^2; %# First anonymous function
f_2 = #(x_2) x_2^3; %# Second anonymous function
fcnArray = {f_1; f_2}; %# Cell array of function handles
F = #(x) cellfun(#feval,fcnArray(:),num2cell(x(:)));
Note that I used the name fcnArray for the cell array of function handles, since the name functions is already used for the built-in function FUNCTIONS. The colon operator (:) is used to turn fcnArray and the input argument x into column vectors if they aren't already. This ensures that the output is a column vector.
And here are a few test cases:
>> F([2;2])
ans =
4
8
>> F([1;3])
ans =
1
27
#you can try
f=#(x)[x(1)^2;x(2)^3]
>>f([1,2])
ans =
1
8
>>f([2,3])
ans =
4
27