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  2. Profit maximization - Wikipedia

    en.wikipedia.org/wiki/Profit_maximization

    In other words, the profit-maximizing quantity and price can be determined by setting marginal revenue equal to zero, which occurs at the maximal level of output. Marginal revenue equals zero when the total revenue curve has reached its maximum value. An example would be a scheduled airline flight.

  3. Utility maximization problem - Wikipedia

    en.wikipedia.org/wiki/Utility_maximization_problem

    Bang for buck is a concept in utility maximization which refers to the consumer's desire to get the best value for their money. If Walras's law has been satisfied, the optimal solution of the consumer lies at the point where the budget line and optimal indifference curve intersect, this is called the tangency condition. [ 3 ]

  4. Monopoly price - Wikipedia

    en.wikipedia.org/wiki/Monopoly_price

    where marginal revenue equals marginal cost. This is usually called the first order conditions for a profit maximum. [2] A monopolist will set a price and production quantity where MC=MR, such that MR is always below the monopoly price set. A competitive firm's MR is the price it gets for its product, and will have Price=MC. According to Samuelson,

  5. Fair allocation of items and money - Wikipedia

    en.wikipedia.org/wiki/Fair_allocation_of_items...

    An envy-free price with minimum subsidy can be computed in strongly polynomial time, by constructing the weighted envy-graph and giving, to each agent i, a price equal to the maximum weight of a path emanating from i. The weight of each path is at most the sum of m terms, each of which is the value of some agent to some good.

  6. Marshallian demand function - Wikipedia

    en.wikipedia.org/wiki/Marshallian_demand_function

    (,) is called a correspondence because in general it may be set-valued - there may be several different bundles that attain the same maximum utility. In some cases, there is a unique utility-maximizing bundle for each price and income situation; then, x ∗ ( p , I ) {\displaystyle x^{*}(p,I)} is a function and it is called the Marshallian ...

  7. Perfect competition - Wikipedia

    en.wikipedia.org/wiki/Perfect_competition

    The real estate market is an example of a very imperfect market. In such markets, the theory of the second best proves that if one optimality condition in an economic model cannot be satisfied, it is possible that the next-best solution involves changing other variables away from the values that would otherwise be optimal. [4]

  8. Bertrand competition - Wikipedia

    en.wikipedia.org/wiki/Bertrand_competition

    When C1 < C2, Firm 1 can set the price between C1 and C2. C1 = C2 = C; This is the case of the basic Bertrand Competition which both firms have the same marginal cost. From the figure, MSS has illustrated that there is only one unique point that both firms are going to set their price. It is the pure strategy of Nash equilibrium. C1 < C2

  9. Knapsack problem - Wikipedia

    en.wikipedia.org/wiki/Knapsack_problem

    The most common problem being solved is the 0-1 knapsack problem, which restricts the number of copies of each kind of item to zero or one. Given a set of items numbered from 1 up to , each with a weight and a value , along with a maximum weight capacity ,