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  2. Profit maximization - Wikipedia

    en.wikipedia.org/wiki/Profit_maximization

    If, contrary to what is assumed in the graph, the firm is not a perfect competitor in the output market, the price to sell the product at can be read off the demand curve at the firm's optimal quantity of output. This optimal quantity of output is the quantity at which marginal revenue equals marginal cost.

  3. Conditional factor demands - Wikipedia

    en.wikipedia.org/wiki/Conditional_factor_demands

    Isocost v. Isoquant Graph. In the simplest mathematical formulation of this problem, two inputs are used (often labor and capital), and the optimization problem seeks to minimize the total cost (amount spent on factors of production, say labor and physical capital) subject to achieving a given level of output, as illustrated in the graph.

  4. Isoquant - Wikipedia

    en.wikipedia.org/wiki/Isoquant

    A family of isoquants can be represented by an isoquant map, a graph combining a number of isoquants, each representing a different quantity of output.An isoquant map can indicate decreasing or increasing returns to scale based on increasing or decreasing distances between the isoquant pairs of fixed output increment, as output increases. [7]

  5. Expansion path - Wikipedia

    en.wikipedia.org/wiki/Expansion_path

    A curve connecting the tangency points is called the expansion path because it shows how the input usages expand as the chosen level of output expands. In economics, an expansion path (also called a scale line [1]) is a path connecting optimal input combinations as the scale of production expands. [2]

  6. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set. A problem with continuous variables is known as a continuous optimization, in which optimal arguments from a

  7. Christofides algorithm - Wikipedia

    en.wikipedia.org/wiki/Christofides_algorithm

    The cost of the solution produced by the algorithm is within 3/2 of the optimum. To prove this, let C be the optimal traveling salesman tour. Removing an edge from C produces a spanning tree, which must have weight at least that of the minimum spanning tree, implying that w(T) ≤ w(C) - lower bound to the cost of the optimal solution.

  8. GraphCalc - Wikipedia

    en.wikipedia.org/wiki/GraphCalc

    GraphCalc is an open-source computer program that runs in Microsoft Windows and Linux that provides the functionality of a graphing calculator. GraphCalc includes many of the standard features of graphing calculators, but also includes some higher-end features: High resolution

  9. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    By the triangle inequality, the best Eulerian graph must have the same cost as the best travelling salesman tour; hence, finding optimal Eulerian graphs is at least as hard as TSP. One way of doing this is by minimum weight matching using algorithms with a complexity of O ( n 3 ) {\displaystyle O(n^{3})} .