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15.MathReview

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Title: 15.MathReview


1
15.Math-Review
Review 1
2
Algebra
  • Example After careful study our marketing
    team has estimated that the demand for knobs is
    related to the price as q 400 -10p . And,
    considering all the different producers of knobs
    the supply is estimated as q 150 15p .
  • Find the markets equilibrium to estimate what
    should be the market price of knobs and the
    volume of sales.

3
Algebra
  • Example After a more careful study our
    marketing team has refined the estimates for the
    demand and supply to the following non-linear
    relations
  • demand q e 9.1 p -0.10
  • supply q e 2.3 p 1.5.
  • Find the markets equilibrium to estimate what
    should be the market price of knobs and the
    volume of sales.

4
Differentiation
  • To differentiate is a trade.

5
Stationary Points
  • Example
  • Consider the function defined over all x0, f(x)
    x - ln(x).
  • Find any local or global minimum or maximum
    points. What type are they?

6
Optimization
  • Example Due to the interaction of supply and
    demand, we are able to affect p the price of door
    knobs with the quantity q of door knobs produced
    according to the following linear model
  • p 100 - 0.1q
  • Consider now variable operative costs 20q
  • Maximize profit, with the consideration that the
    production level has to be at least 450 units due
    to contracts with clients.

7
LP
  • Example Write the constraints associated with
    the solution space shown

5
3
2
1
-1
5
-1
8
LP
  • Example Graphically solve the following LP.
    Repeat replacing x 5 by x ? 5.

9
LP
  • Example Our company now produces two types of
    knobs. We can produce at most 300 knobs. The
    market limits daily sales of the first and second
    types to 150 and 200 knobs. Assume that the
    profit per knob is 8 for type 1 and 5 for type
    2. Try to maximize your profit.

10
LP
  • Example Our company can advertise our knobs by
    using local radio and TV stations. Our budget
    limits the advertisement expenditures to 1000 a
    month. Each minute of radio advertisement costs
    5 and each minute of TV advertisement costs
    100. Our company would like to use the radio at
    least twice as much as the TV. Past experience
    show that each minute of TV advertisement will
    usually generate 25 times as many sales as each
    minute of radio advertisement. Determine the
    optimum allocation of the monthly budget to radio
    and TV advertisements in order to maximize the
    estimated generation of sales.

11
Equality Constrained Optimization
  • Example Suppose we have the following model to
    explain q, the quantity of knobs produced
    qL0.3K0.9, where
  • L Labor, and has a cost of 1 per unit of
    labor.
  • K Capital, and has a cost of 2 per unit of
    capital.
  • Interpret the model. Is it reasonable? (not the
    units, please)
  • Find the mix of labor and capital that will
    produce q100 at minimum cost.

12
Probability
  • Example Suppose that of 100 MBA students in the
    first-year class, 20 of them have two years of
    work experience, 30 have three years, 15 have
    four years, and 35 have five years or more.
    Suppose that we select one of these 100 students
    at random.
  • What is the probability that this student has at
    least four years of work experience?
  • Suppose that you are told that this student has
    at least three years of work experience. What is
    the (conditional) probability that this student
    has at least four years of work experience?

13
Probability
  • Example It is a relatively rare event that a
    new television show becomes a long-term success.
    A new television show that is introduced during
    the regular season has a 10 chance of becoming a
    success. A new television show that is
    introduced as a mid-season replacement has only a
    5 chance of becoming a success. Approximately
    60 of all new television shows are introduced
    during the regular season. What is the
    probability that a randomly selected new
    television show will become a success.

14
Tough examples to kill time
  • Application of derivative LHopital rule.

15
Tough examples to kill time
  • Example
  • Let us consider the function
  • Obtain a sketch of this function using all the
    information about stationary points you can
    obtain.
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