1. Prompts the user for the parameters of the model: a, B, 7, 8 o If a user inputs a negative value for any of these parameters, the program should immediately print an error message and exit. • Here is an example of how to use the exit() function 2. Prompts the user to enter the initial values of the populations ko, uo, representing thousands of individuals. o If a user inputs a negative value for the initial population for either kelp or urchins, the program should treat the population as zero. 3. The program should calculate and output the populations k₁, ₁. Outputs should be shown with precision 3 decimal places, representing the population in thousands. The population should never grow negative (treat negative populations as zero).
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- Implement a function or class to solve the Black-Scholed Model Partial Differential Equation. It should be able to price both European and American-style derivatives of arbitrary payoff structure (i.e. the payoff function should be a Callable). Implement full functionality: That is, calculate the price of both European and American options on dividend-paying stocks and be flexible to price other options besides standard calls and puts. Provide documentation: Provide docstrings and example usage for your implementation. It should be easy for someone looking at your code to understand how to call it and what the parameters mean. A short README.md file or example script would be useful.Q1. Let’s play a dice game with a pair of dice following these rules:1. At the beginning, you throw a pair of dice. If the two numbers add up to 5, 6, 7, 8, or 9, thegame immediately stops.2. If your first throw does not meet those 5 totals, you would continue until you get either 11 or12.Get 1000 simulations of this paired dice game. What is the average number of dice throw per game?You can use the sample() function to simulate the dice.This is a programming assignment. You can use any programming language. Program a GeneticAlgorithm to find an integer number between 0 and 31 that maximizes the function f (x) = x2.The initial procedure is given as below.• Population size: 6• Crossover probability: 100%• Mutation probability: 5%• Terminating criteria:o When your program produces an average of candidates is equal to or greater than29, then you can accept it as a terminating condition.• Fitness function:o You can use the function itself (f (x) = x2)as your fitness function.1. For the 1st generation, you need to print the process and result of selection, crossover, andmutation operation.you need to print the corresponding integer values and bits (binary values)of selection, crossover, and mutation operation. You also need to decide andprint the crossover point and the mutation point.2. From the 2nd generation, you do not have to print all results of selection, crossover,mutation operations. You can just print the result…
- int p =5 , q =6; void foo ( int b , int c ) { b = 2 * c ; p = p + c ; c = 1 + p ; q = q * 2; print ( b + c ); } main () { foo (p , q ); print p , q ; } Explain and print the output of the above code when the parameters to the foo function are passed by value. Explain and print the output of the above code when the parameters to the foo function are passed by reference. Explain and print the output of the above code when the parameters to the foo function are passed by value result. Explain and print the output of the above code when the parameters to the foo function are passed by name.7-2 Discussion: Interpreting Multiple Regression Models Previous Next In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about multiple regression. You will not be completing work in Jupyter Notebook this week. Instead, you will be interpreting output from your Python scripts for the Module Six discussion. If you did not complete the Module Six discussion, please complete that before working on this assignment. Last week's discussion involved development of a multiple regression model that used miles per gallon as a response variable. Weight and horsepower were predictor variables. You performed an overall F-test to evaluate the significance of your model. This week, you will evaluate the significance of individual predictors. You will use output of Python script from Module Six to perform individual t-tests for each predictor variable. Specifically, you will look at Step 5 of the Python script to answer…def parrot(voltage, state="a stiff", action="voom", p_type="Norwegian Blue"): print("-- This parrot wouldn't", action, end=" ") print("if you put", voltage, "volts through it.") print("-- Lovely plumage, the", p_type) print("-- It's", state, "!") parrot(100, action="vroom") #6 Q4.1 Default Values Which of the parameters use their default values in the function call on line 6. parrot(100, action="vroom") #6 Choice 1 of 4:state Choice 2 of 4:voltage Choice 3 of 4:p_type Choice 4 of 4:action Select all of the ways that the parameter action can be assigned a value. Choice 1 of 3:positional argument Choice 2 of 3:keyword argument Choice 3 of 3:default value Q4.3 Call the Function Call the function such that voltage is a positional argument, state is a keyword argument, p_type is a keyword argument, and action is a default argument. (voltage, state="a stiff", action="voom", p_type="Norwegian Blue")
- Answer the following questions about the given statement:∀t : Trainers • ∃c : Course • (t,c) ∈Teaches ∧c.time = 2•What does this statement mean?•Is this statement a set or a predicate?•What does the statement evaluate to based on the current system state? Examples for reference:•∃g : Owner • g.name = gymowner ∧g.email = test-There exists an owner with the name gymowner and email test-predicate-false•{c : Course |∃co : Customer • (co,c) ∈Books}-Set of all Courses which are booked by a customer-set-{Boxing,WeightLifting,Yoga1,Wrestling}•{t : Trainer |#{c : Course |(t,c) ∈Teaches}>1}-Set of all Trainers who teach more than 1 class.-set-{Trainer 2}Write three static comparators for the Point2D data type, one that compares points by their x coordinate, one that compares them by their y coordinate, and one that compares them by their distance from the origin. Writetwo non-static comparators for the Point2D data type, one that compares them by their distance to a specified point and one that compares them by their polar angle with respect to a specified point.Using c++ Rolling for a pair Given two GVDie objects that represent 2 six-sided dice and an integer that represents a desired value as parameters, complete the function RollingForPair() in the main class. The main class rolls the dice until a pair with the desired value is rolled. The function RollingForPair() then returns the number of rolls thrown to achieve the result. Assume the desired value received from input is within the appropriate range, 1-6. Note: For testing purposes, the GVDie objects are created in the main() function using a pseudo-random number generator with a fixed seed value. The program uses a seed value of 15 during development, but when submitted, a different seed value will be used for each test case. Refer to the textbook section on random numbers to learn more about pseudo-random numbers. Ex: If the GVDie objects are created with a seed value of 15 and the input of the program is: 2 the output is: It took 82 rolls to get a pair of 2's. #include…
- A) quadrant [★★] Complete the quadrant function below, which should return the quadrant of the given x, y point according to the diagram on the right (borrowed from Wikipedia). Points that lie on an axis do not belong to any quandrant. Hints: (a) define a helper function for the sign of an integer, (b) match against a pair. type quad = I | II | III | IV type sign = Neg | Zero | Pos let sign (x:int) : sign = ... let quadrant : int*int -> quad option = fun (x,y) -> match ... with | ... -> Some I | ... -> Some II | ... -> Some III | ... -> Some IV | ... -> None B) quadrant when [★★] Rewrite the quadrant function to use the when syntax. You won’t need your helper function from before. let quadrant_when : int*int -> quad option = function | ... when ... -> Some I | ... when ... -> Some II | ... when ... -> Some III | ... when ... -> Some IV | ... -> None please use Ocaml for the codeWrite a function with the interface doRandomWalk(nstep,startPosition), that takes the number of steps nstep for a random walk and the startPosition of the random walk on a straight line, and returns the location of the final step of the random walker. Problem Part B Now, write another function with the interface simulateRandomWalk(nsim,nstep,startPosition) that simulates nsim number of random-walks, each of which contains nstep steps and starts at startPosition. Then, this function calls doRandomWalk() repeatedly for nsim times and finally returns a vector of size nsimcontaining final locations of all of the nsim simulated random-walks. Problem Part C Now write a script that plots the output of simulateRandomWalk() for nsimnstepstartPosition===1000010−10 The resulting plot should look like the following, How do you interpret this result? How can uniformly-distributed random final steps end up having a Gaussian bell-shape distribution.b) write the definition of the constructor in Line 1 so that the instance variables are initialized to 0. Write the definition of the constructor in Line 4 so that the instance variables u, v and w are initialized according to the values of the parameters a, b, and d, respectively.