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+// Reference: Urmila Diwekar, "Introduction to Aplied Optimization", 2nd Ed, Springer Science + Business Media,2008, Chapter 3
+
+// Three hump-back camel function : An unconstrained problem
+// F(X) = 2*X(1)^2 - 1.05*X(1)^4 + (1/6)*X(1)^6 + X(1)*X(2) + X(2)^2
+// Dimension of the problem:  2
+// The global optima for the function: F*(X) = 0 and X* = [0 0];
+//=====================================================================
+// Copyright (C) 2018 - IIT Bombay - FOSSEE
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Remya Kommadath
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+//=====================================================================
+
+clc; 
+// Objective function 
+function f = ObjectiveFunction(X)
+    f = 2*X(1)^2 - 1.05*X(1)^4 + (1/6)*X(1)^6 + X(1)*X(2) + X(2)^2;
+endfunction
+// Gradient of the function
+function gf = GradientFunction(X)
+    gf = [4*X(1) - 4.2*X(1)^3 + X(1)^5 + X(2), X(1) + 2*X(2)];
+endfunction
+// Hessian matrix of the function
+function hf = HessianFunction(X)
+    hf = [4 - 12.6*X(1)^2 + 5*X(1)^4, 1; 1 2]
+endfunction
+
+// Initial guess
+x0 = [0,-1];
+disp(x0, "The initial guess given to the solver is")
+input("Press enter to proceed: ")
+// User specified parameter values
+options=list("gradobj", GradientFunction,"hessian",HessianFunction);
+// Calling the solver
+[xopt,fopt,exitflag,output,gradient,hessian] = fminunc(ObjectiveFunction,x0,options)
+
+// Result representation
+clc
+select exitflag
+case 0 
+    disp("Optimal Solution Found")
+    disp(xopt', "The optimum solution obtained is")
+    disp(fopt, "The optimum objective function value is")
+case 1
+    disp("Maximum Number of Iterations Exceeded. Output may not be optimal.")
+    disp(xopt', "The solution obtained is")
+    disp(fopt, "The objective function value is")
+case 2
+    disp("Maximum CPU Time exceeded. Output may not be optimal.")
+    disp(xopt', "The solution obtained is")
+    disp(fopt, "The objective function value is")
+case 3
+    disp("Stop at Tiny Step.")
+    disp(xopt', "The solution obtained is")
+    disp(fopt, "The objective function value is")
+case 4
+    disp("Solved To Acceptable Level.")
+    disp(xopt', "The solution obtained is")
+    disp(fopt, "The objective function value is")
+case 5 
+    disp("Converged to a point of local infeasibility.")
+end
+
+disp(output)