Write a function to find the values of a design variable vector, x, that minimizes an unconstrained scalar objective function, f, given a function handle to f and its gradient, a starting guess, x0, a gradient tolerance, TolGrad, and a maximum number of iterations, MaxIter, using the Quasi-Newton (Secant) Method. Initialize the Hessian approximation as an identity matrix. Update the Hessian matrix approximation using the BFGS update formula.
Solution Stats
Problem Comments
Solution Comments
Show commentsProblem Recent Solvers24
Suggested Problems
-
Least common multiple of many numbers
256 Solvers
-
59 Solvers
-
Find matching string from a list of strings
276 Solvers
-
Return the first and last characters of a character array
12577 Solvers
-
Convert from Fahrenheit to Celsius
29419 Solvers
More from this Author17
Problem Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
