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Le terme suivant au terme de rang n est le terme de
Formule de récurrence d'une suite arithmétique de raison R
Le terme précédent au terme de rang n est le terme de
Pour retrouver un pourcentage de réduction ou d'augmentation, il faut calculer
la droite qui coupe perpendiculairement en son milieu le segment.
la demi-droite issue d'un sommet coupant le côté opposé perpendiculairement.
une expérience 1) que l'on peut reproduire dans les mêmes conditions 2) pour laquelle on connait toutes les issues possibles 3) sans connaître le résultat.
un résultat possible d'une expérience aléatoire.
au quotient de la somme des valeurs par le nombre de valeurs de cette série.
Problems with infeasible solutions arise in practice becausea.management doesn't specify enough restrictions.b.too many restrictions have been placed on the problem.c.of errors in objective function formulation.d.there are too few decision variables.
The __________ value for each less-than-or-equal-to constraint indicates the difference between the left-hand and right-hand values for a constraint.a.objective function coefficientb.slackc.unboundedd.surplus
A __________ refers to a constraint that can be expressed as an equality at the optimal solution.a.nonnegativity constraintb.first class constraintc.slack variabled.binding constraint
The study of how changes in the input parameters of a linear programming problem affect the optimal solution is known asa.regression analysis.b.model analysis.c.optimality analysis.d.sensitivity analysis.
Suppose that profit for a particular product is calculated using the linear equation: Profit = 20S + 3D. Which of the following combinations of S and D would yield a maximum profit?​a.S = 0, D = 0b.S = 405, D = 0c.S = 0, D = 299d.S = 182, D = 145
The shadow price of nonbinding constraintsa.will always be zero.b.will always be a positive value.c.can never be equal to zero.d.is no longer valid if the right-hand side of the constraint remains the same.
The reduced cost for a decision variable that appears in a Sensitivity Report refers to the __________ of the nonnegativity constraint for that variable.a.range of optimalityb.slack valuec.shadow priced.range of feasibility
The situation in which the value of the solution may be made infinitely large in a maximization linear programming problem or infinitely small in a minimization problem without violating any of the constraints is known asa.infeasibility.b.unbounded.c.infiniteness.d.semi-optimality.
Rob is a financial manager with Sharez, an investment advisory company. He must select specific investments—for example, stocks and bonds—from a variety of investment alternatives. Which of the following statements is most likely to be the objective function in this scenario?a.Minimization of the number of stocks heldb.Maximization of expected returnc.Minimization of tax duesd.Maximization of investment risk
__________ is the situation in which no solution to the linear programming problem satisfies all the constraints.a.Unboundednessb.Divisibilityc.Infeasibilityd.Optimality
In a linear programming model, the __________ assumption plus the nonnegativity constraints mean that decision variables can take on any value greater than or equal to zero.a.proportionalityb.divisibilityc.additivityd.negativity

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