fminsearch

问题 I have the following code that I wish to estimate the parameters of a custom distribution. For more details on the distribution. Then using the estimated parameters I want to see if the estimated PDF resembles the distribution of the given the data (it is supposed to match the distribution of the given data). [EDIT]: 'x' now holds a sample of data and not a PDF The main code is: x = [0.0320000000000000 0.0280000000000000 0.0280000000000000 0.0270000000000000 0.0320000000000000 0

问题 Can anyone explain to me how I can apply non linear regression to this equation t find out K using the matlab command window. I = 10^-9(exp(38.68V/k)-1). Screenshot of Equation I have data values as follows: Voltage := [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]: Current:= [0, 0, 0, 0, 0, 0, 0, 0.07, 0.92, 12.02, 158.29]: Screenshot of Equation [NEW]: Now I used FminSearch as an alternative another and another error message appeared. Matrix dimensions must agree. Error in @(k)sum((I

问题 Can anyone explain to me how I can apply non linear regression to this equation t find out K using the matlab command window. I = 10^-9(exp(38.68V/k)-1). Screenshot of Equation I have data values as follows: Voltage := [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]: Current:= [0, 0, 0, 0, 0, 0, 0, 0.07, 0.92, 12.02, 158.29]: Screenshot of Equation [NEW]: Now I used FminSearch as an alternative another and another error message appeared. Matrix dimensions must agree. Error in @(k)sum((I

问题 I am trying to implement a particular type of model predictive control in the Simulink-Matlab framework. To do so, my plan was to have the dynamic model in Simulink call an external Matlab S-function which in turns runs an optimization that calls a different Simulink file. Hence, the program flow would be as follows: Simulink -> Matlab ( fmincon or quadprog ) -> Simulink. As you can see, the Matlab S-function would call either fmincon or quadprog , but I would like to use fmincon for my

问题 I am using Matlab fminsearch to minimize a equation with two variables sum((interval-5).^2, 2)*factor The interval is a vector contains 5 values. They can be only picked sequentially from value 1 to 30 with step size is 1. The factor is a value from 0.1 to 0.9. The code is below. I think the interval values are correct but factor value is wrong. Interval value: [3 4 5 6 7] factor value: 0.6 Final Output: 6 I think the factor value should be 0.1 and final output should be 1 as global minimum.

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 months ago . I'm trying to optimize a function with 2 inputs. Trying to use fminsearch but it keeps saying undefined function or variable although it is already defined. I have already defined the function in a separate script that is in the same directory with my main script. I have a classroom license which includes

问题 I am using fminsearch to minimize the error between the covariance at coarse scale and the average of covariance at fine scale by perturbing certain parameters. These are 2 lines of code lines using fminsearch in which I am calling the objective function minimize_me with three arguments which I intend to perturb: opts = optimset('display', 'iter'); [x,fval,exitflag] = fminsearch( @(x) minimize_me(x(1), x(2), x(3)), [2, 5, 90], opts); The function minimize_me is shown following and it uses

问题 Suppose I have a set of univariate data held in the array errors . I would like to fit a PDF to my observed data distribution. My PDF is defined in a function poissvmwalkpdf , whose definition line looks like this: function p = poissvmwalkpdf(theta, mu, kappa, xi) Here, theta is the error (the variable for which values in errors are instances), and mu , kappa , and xi are parameters of the PDF for which I want to find the best fit using maximum-likelihood estimation. This function returns the

问题 How can I make scipy's fmin_cg use one function that returns cost and gradient as a tuple? The problem with having f for cost and fprime for gradient, is that I might have to perform an operation twice (very costly) by which the grad and cost is calculated. Also, sharing the variables between them could be troublesome. In Matlab however, fmin_cg works with one function that returns cost and gradient as tuple. I don't see why scipy's fmin_cg cannot provide such convenience. Thanks in advance..

问题 How can I pass a constant to fminsearch? So like, if I have a function: f(x,y,z), how can I do an fminsearch with a fixed value of x? fminsearch(@f, [0,0,0]); I know I can write a new function and do an fminsearch on it: function returnValue = f2(y, z) returnValue = f(5, y, z); ... fminsearch(@f2, [0,0]); My requirement, is I need to do this without defining a new function. Thanks!!! 回答1: You can use anonymous functions: fminsearch(@(x) f(5,x) , [0,0]); Also you can use nested functions: