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  2. 80 of the Most Useful Excel Shortcuts - AOL

    www.aol.com/lifestyle/80-most-useful-excel...

    Excel at using Excel with these keyboard hotkeys that will save you minutes of time—and hours of aggravation. The post 80 of the Most Useful Excel Shortcuts appeared first on Reader's Digest.

  3. Pareto index - Wikipedia

    en.wikipedia.org/wiki/Pareto_index

    In economics the Pareto index, named after the Italian economist and sociologist Vilfredo Pareto, is a measure of the breadth of income or wealth distribution. It is one of the parameters specifying a Pareto distribution and embodies the Pareto principle .

  4. Table of keyboard shortcuts - Wikipedia

    en.wikipedia.org/wiki/Table_of_keyboard_shortcuts

    Most keyboard shortcuts require the user to press a single key or a sequence of keys one after the other. Other keyboard shortcuts require pressing and holding several keys simultaneously (indicated in the tables below by the + sign). Keyboard shortcuts may depend on the keyboard layout.

  5. 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. A cell containing a formula, therefore, has two display components ...

  6. Multi-objective optimization - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_optimization

    Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

  7. Efficient approximately fair item allocation - Wikipedia

    en.wikipedia.org/wiki/Efficient_approximately...

    There is a finite set of objects, denoted by M.There are n agents. Each agent i has a value-function V i, that assigns a value to each subset of objects.The goal is to partition M into n subsets, X 1,...,X n, and give each subset X i to agent i, such that the allocation is both Pareto-efficient and approximately fair.