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For what value of x, is the function x22x6 minimized? 3150 Question Which of the following statements is INCORRECT? If the first derivative at xi is zero, then f(xi) is an optimum, If the second derivative at xi is negative, then f(xi) is a maximum. If f(x) ) is a maximum, then the second derivative at x is positive The value of the function can be positive or negative as any optima. QUESTION - Which of the following parameters is not required to use the Golden Section Search method for optimization? The function to be optimized The lower bound tor the search region The golden ratio The upper bound for the search region Maximization of the objective function in LPP means value occurs at allowable set decision the highest value is chosen among allowable decision all of the mentioned none of the mentioned all the points of the feasible region, the value for maximum or minimum of the objective function lies at the boundary line of the feasible region lies inside the feasible region none of these is a vertex point of the boundary of the feasible region QUESTION 3 The linear function of the variables which is to be maximized or minimized is called None of the given Objective function Decision variable Constraints Quesnon 4 The mathematical model of Linear Programming is important because It enables the use of algebraic techniques. Decision-makers prefer to work with formal models. It helps in converting the verbal description and numerical data into a mathematical expression It captures the relevant relationship among decision factors