Desired values of b in this objective are those that allow you to match the example figure 'ParameterViz_b2'. You'll likely need to play guess-and-check to find which values are desired. As for parameter b, try keeping it's value fixed at 3. Finally, examine your plot. Describe your interpretation of the model parameter b as succinctly as possible (i.e., in one or two words). Make sure to change the title your plot appropriately, in the code, given your interpretation. Objective #3: Implement a simulated annealing procedure in Matlab like the one we discussed in lecture. Your implementation should closely follow the pseudocode we saw in lecture. Stub code has been provided for you in Unit4_Script.m. Once your have implemented your annealing procedure, use it in conjunction with the function 'bizarre' in order to find a good set of parameters for Professor Coburns's DOX data. You'll need to visualize the model fit. Your plot should match DoxorubicinRelease.jpg as closely as possible. Note: In the Unit 4-3 lecture notes, and more specifically in the pseudocode for Simulated Annealing, I overloaded the variable 'p', such that it has two distinct meanings: (a) the probability of accepting a new parameter vector, and (b) the size of the parameter vector. In my stub code, I mapped these two meanings to separate variables, named 'p' and 'nparams', respectively. Part of the challenge of this exercise will be figuring out which variable should be used where. Good luck!