enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Optimal radix choice - Wikipedia

    en.wikipedia.org/wiki/Optimal_radix_choice

    The cost of representing a number N in a given base b can be defined as (,) = ⌊ ⁡ + ⌋where we use the floor function ⌊ ⌋ and the base-b logarithm.. If both b and N are positive integers, then the quantity (,) is equal to the number of digits needed to express the number N in base b, multiplied by base b. [1]

  3. Assignment problem - Wikipedia

    en.wikipedia.org/wiki/Assignment_problem

    Here, a new graph G' is built from two copies of the original graph G: a forward copy Gf and a backward copy Gb. The backward copy is "flipped", so that, in each side of G', there are now n+r vertices. Between the copies, we need to add two kinds of linking edges: [1]: 4–6

  4. Loss function - Wikipedia

    en.wikipedia.org/wiki/Loss_function

    In many applications, objective functions, including loss functions as a particular case, are determined by the problem formulation. In other situations, the decision maker’s preference must be elicited and represented by a scalar-valued function (called also utility function) in a form suitable for optimization — the problem that Ragnar Frisch has highlighted in his Nobel Prize lecture. [4]

  5. Floor and ceiling functions - Wikipedia

    en.wikipedia.org/wiki/Floor_and_ceiling_functions

    Given real numbers x and y, integers m and n and the set of integers, floor and ceiling may be defined by the equations ⌊ ⌋ = {}, ⌈ ⌉ = {}. Since there is exactly one integer in a half-open interval of length one, for any real number x, there are unique integers m and n satisfying the equation

  6. Distance matrix - Wikipedia

    en.wikipedia.org/wiki/Distance_matrix

    In general, a distance matrix is a weighted adjacency matrix of some graph. In a network, a directed graph with weights assigned to the arcs, the distance between two nodes of the network can be defined as the minimum of the sums of the weights on the shortest paths joining the two nodes (where the number of steps in the path is bounded). [2]

  7. Cost curve - Wikipedia

    en.wikipedia.org/wiki/Cost_curve

    The total cost curve, if non-linear, can represent increasing and diminishing marginal returns.. The short-run total cost (SRTC) and long-run total cost (LRTC) curves are increasing in the quantity of output produced because producing more output requires more labor usage in both the short and long runs, and because in the long run producing more output involves using more of the physical ...

  8. Cost–volume–profit analysis - Wikipedia

    en.wikipedia.org/wiki/Cost–volume–profit...

    Total costs = fixed costs + (unit variable cost × number of units) Total revenue = sales price × number of unit. These are linear because of the assumptions of constant costs and prices, and there is no distinction between units produced and units sold, as these are assumed to be equal.

  9. Cost breakdown analysis - Wikipedia

    en.wikipedia.org/wiki/Cost_breakdown_analysis

    The cost breakdown analysis is even more effective when repeated constantly, so that changes in the respective shares in total costs of the various cost drivers can be tracked down. Over a five-year period, the share of expenses for tires might have risen from 5% to 8%, accompanied by a decrease of expenses for personnel from 35% to 32%, which ...