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  2. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    Greedy algorithms determine the minimum number of coins to give while making change. These are the steps most people would take to emulate a greedy algorithm to represent 36 cents using only coins with values {1, 5, 10, 20}. The coin of the highest value, less than the remaining change owed, is the local optimum.

  3. Pathfinding - Wikipedia

    en.wikipedia.org/wiki/Pathfinding

    Two primary problems of pathfinding are (1) to find a path between two nodes in a graph; and (2) the shortest path problem—to find the optimal shortest path. Basic algorithms such as breadth-first and depth-first search address the first problem by exhausting all possibilities; starting from the given node, they iterate over all potential ...

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    With version 5.0, included in Microsoft Office 4.2 and 4.3, Excel included Visual Basic for Applications (VBA), a programming language based on Visual Basic which adds the ability to automate tasks in Excel and to provide user-defined functions (UDF) for use in worksheets.

  5. Golden-section search - Wikipedia

    en.wikipedia.org/wiki/Golden-section_search

    The golden-section search is a technique for finding an extremum (minimum or maximum) of a function inside a specified interval. For a strictly unimodal function with an extremum inside the interval, it will find that extremum, while for an interval containing multiple extrema (possibly including the interval boundaries), it will converge to one of them.

  6. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    Formulas in the B column multiply values from the A column using relative references, and the formula in B4 uses the SUM() function to find the sum of values in the B1:B3 range. A formula identifies the calculation needed to place the result in the cell it is contained within.

  7. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    Suppose that we wish to find the stationary points of a smooth function : when restricted to the submanifold defined by = , where : is a smooth function for which 0 is a regular value. Let d ⁡ f {\displaystyle \ \operatorname {d} f\ } and d ⁡ g {\displaystyle \ \operatorname {d} g\ } be the exterior derivatives of f {\displaystyle \ f ...

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...

  9. Microsoft Office 2013 - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Office_2013

    2,147,483,647 bytes (2 GB minus 1 byte) Number of columns and calculated columns in a table: 2,147,483,647 bytes (2 GB minus 1 byte) Memory limit, checked when saving a workbook: 4,294,967,296 bytes (4 GB) Concurrent requests per workbook: 6 Number of connections: 5 Number of distinct values in a column: 1,999,999,997 Number of rows in a table ...