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  2. Conditional factor demands - Wikipedia

    en.wikipedia.org/wiki/Conditional_factor_demands

    In economics, a conditional factor demand is the cost-minimizing level of an input (factor of production) such as labor or capital, required to produce a given level of output, for given unit input costs (wage rate and cost of capital) of the input factors.

  3. Cost-minimization analysis - Wikipedia

    en.wikipedia.org/wiki/Cost-minimization_analysis

    Cost-minimization is a tool used in pharmacoeconomics to compare the cost per course of treatment when alternative therapies have demonstrably equivalent clinical effectiveness. [ 1 ] Therapeutic equivalence (including adverse reactions, complications and duration of therapy) must be referenced by the author conducting the study and should have ...

  4. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    The optimization of portfolios is an example of multi-objective optimization in economics. Since the 1970s, economists have modeled dynamic decisions over time using control theory. [14] For example, dynamic search models are used to study labor-market behavior. [15] A crucial distinction is between deterministic and stochastic models. [16]

  5. Isocost - Wikipedia

    en.wikipedia.org/wiki/Isocost

    The cost-minimization problem of the firm is to choose an input bundle (K,L) feasible for the output level y that costs as little as possible. A cost-minimizing input bundle is a point on the isoquant for the given y that is on the lowest possible isocost line. Put differently, a cost-minimizing input bundle must satisfy two conditions:

  6. Loss function - Wikipedia

    en.wikipedia.org/wiki/Loss_function

    In the context of economics, for example, this is usually economic cost or regret. In classification , it is the penalty for an incorrect classification of an example. In actuarial science , it is used in an insurance context to model benefits paid over premiums, particularly since the works of Harald Cramér in the 1920s. [ 3 ]

  7. Constrained optimization - Wikipedia

    en.wikipedia.org/wiki/Constrained_optimization

    The lower the estimated cost, the better the algorithm, as a lower estimated cost is more likely to be lower than the best cost of solution found so far. On the other hand, this estimated cost cannot be lower than the effective cost that can be obtained by extending the solution, as otherwise the algorithm could backtrack while a solution ...

  8. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    For example, in economics the optimal profit to a player is calculated subject to a constrained space of actions, where a Lagrange multiplier is the change in the optimal value of the objective function (profit) due to the relaxation of a given constraint (e.g. through a change in income); in such a context is the marginal cost of the ...

  9. Shephard's lemma - Wikipedia

    en.wikipedia.org/wiki/Shephard's_lemma

    Shephard's lemma is a major result in microeconomics having applications in the theory of the firm and in consumer choice. [1] The lemma states that if indifference curves of the expenditure or cost function are convex, then the cost minimizing point of a given good with price is unique.