linear programming models

Name the type of model that best fits the data collection. X -2 -1 0 1 2 3 Y -12 -5 0 3 4 3 => Exponential model or Linear model or Cubic model or Quadratic model..

The equation y = c (1 ± r ) t represents, which of the following model? => Quadratic Model or Exponential Model or Cubic Model or Linear Model..

Name the type of model that best fits the data collection: (- 3, 16), (- 2, 8), (- 1, 4), (0, 2), (1, 1), (2, 1 2 ), (3, 1 4 ) => Linear model or Quadratic model or Exponential model or Cubic model..

Name the type of model that best fits the data collection. x -2 -1 0 1 2 3 4 y 7 1 -1 1 7 17 31 => Linear model or Cubic model or Quadratic model or Exponential model..

The table shows the data of a moving object with velocity ( v ) and kinetic energy (E). Choose the model and its equation whcih best fits the data? Velocity( v ) 0 4 8 12 16 20 Kinetic Energy(E) 0 96 384 864 1536 2400 => Quadratic; E = 10 v 2 or Quadratic; E = 6 v 2 or Linear; E..

Graphical Method of Solution of a Linear Programming Problem - So far we have learnt how to construct a mathematical model for a linear programming problem. If we can find the values of the decision variables x 1 , x 2 , x 3 , ..... x n , which can ..

Therefore 300x + 150 y 15,000 dollars The mathematical model for this problem is Maximize Z = 50x + 18y (objective function) Subject to the condition with non-negativity conditions Note that in both the examples the conditions are linear inequations; these mathematic..

Linear programming is used to find the variations in water storage of dams which generate power, thus maximising the energy got from the entire syste..

Classify the problem: 2 pipes together can fill a swimming pool in 12 hours. If the larger pipe alone takes 7 hours less than the smaller pipe to fill the pool, find the time in which each pipe alone would fill the pool. => A linear equation model or An arithemetic model..

To provide the required protection at the minimum cost, linear programming is used. This technique is useful to cause maximum damage to the enemy with minimum fuel/cos..