running function in the command line

I am interested to run optimization (lsqnonlin) in the command line itself without calling or creating a ☆.m file!

clc; clear all

k = 1:10;
fun =@(x) ( 2 + 2*k-exp(k*x(1))-exp(k*x(2))      );

% Next, invoke an optimization routine.

x0 = [0.3 0.4]  % Starting guess

[x,resnorm] = lsqnonlin (  fun, x0  );

[dpb]

What's the question? Works here...

>> [x,resnorm]=lsqnonlin(fun,x0)

Local minimum possible.

lsqnonlin stopped because the size of the current step is less than
the default value of the step size tolerance.

<stopping criteria details>

x =
    0.2578    0.2578
resnorm =
  124.3622
>>

which is same result as the example using the function m-file in the doc.

[ARUN BORGOHAIN]

How to add options is my problem (sorry left that part in pasting)!

        options = optimset('Display','iter','TolX',1e-3);
        [x,resnorm] = lsqnonlin ( fun, options, x0  );

%Error using lsqnonlin (line 181);LSQNONLIN only % accepts inputs of data type double.

Answer 1

[Walter Roberson]

          [x,resnorm] = lsqnonlin( fun, x0, [], [], options );

Parameters are positional. options must appear in the 5th parameter.

[ARUN BORGOHAIN]

thanks!