ACME Building Supplies is about to introduce a new customer service program that will affect all of its 200 sales and service employees. Job duties will be changed and the employee reward system will be altered to fit this new customer focus. Moreover, the company wants to improve the efficiency of work processes, thereby removing some of the comfortable (and often leisurely) routines that employees have followed over the years.

Part 1- Forces Resisting Change

Describe three types of forces resisting change that the company will potentially experience during this change process.

Part 2:Implementing the change

Pretend you are working in the Human Resources department of ACME Building Supplies and are in charge of leading the change of implementing the new Customer Relations Management (CRM) computer program as part of this new 'Customer Service' change initiative. Employees use the current CRM multiple times a day as it stores all the information about clients from the types of products and services they have, to logging any interaction they have with the clients. Thus, this change will greatly impact their job/tasks. Knowing what you have learned this semester about behaviour and attitudes towards change, createi a plan that ACME could use to successfully implement this change.

dy dx y(0) = 1 a) (5pts) Determine the solution of the above equation analytically b) (20 pts) Use Runge-Kutta second order Heun's method to solve the given equation over the interval [0, 12] with step size of h = 2 3 I X2 x2 S U a) y = b) Runge kutta Xi Yi ( True Value) Yi ( Runge Kutta) ErrorProblem 1. Solve the differential equation: dx 2 x 3x2 dt with the initial condition x = 1.0 when t = 2.0. Determine the value of x when t = 5.0 and use 100 steps with the following three methods: a) Euler b) Second-order Runge-Kutta c) Fourth-order Runge-Kutta The exact solution is: 25 x(5.0) = 4+ 3In(2) - 3 In (5) Fill in the table below. Give your % Difference values with 3 significant figures. Method x ( 5.0) Difference Euler 2"d-Order Runge-Kutta 4th-Order Runge-KuttaPart one - evalboostforest( ) _ 1. Import alpha and trained model 2. Derive prediction using alphalil * treelil.predict(xTe) Part two - GBRT( ) function when i = 1 1. Import Regression Tree model 2. Train Regression Tree with xTr and yTr training data 3. Append trained model and alpha o trees = tree(xTryTr) 4. Derive the prediction (PredHi) using evalboostforest0 function predHi = alpha' tree(xTr. yTr) when i = 2 1. Import Regression Tree model 2. Train Regression Tree with xTr and residual(yTr - PredHi) training data 3. Append trained model and alpha o trees = tree(xTr. yTr) + tree(xTr, yTr - PredH1) 4. Derive the prediction (PredH2) using evalboostforest() function predH2 = alpha' tree(xTr, yTr) + alpha ' tree(xTr. yTr - PredH1) when i = 3 1. Import Regression Tree model 2. Train Regression Tree with xTr and residual(yTr - PredHi) training data 3. Append trained model and alpha trees = tree(xTr. yTr) + tree(xTr, yTr - PredH1) + tree(xTr, yTr - PredH2) 4. Derive the prediction (PredH2) using evalboostforest() function predH3 = alpha ' tree(xTr. yTr) + alpha' tree(xTr, yTr - PredHi) + alpha' tree(xTryTr - PredH2)Implement Jacobi method using any programming language Implement Jacobi method using any programming language for using the following initial values 12x, + 3x,- 5x, = 1 x + 5x2 + 3x, = 28 3x + 7x + 13x3 = 76 X = 0 X