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  2. Control table - Wikipedia

    en.wikipedia.org/wiki/Control_table

    The control table entries are then much more similar to conditional statements in procedural languages but, crucially, without the actual (language dependent) conditional statements (i.e. instructions) being present (the generic code is physically in the interpreter that processes the table entries, not in the table itself – which simply ...

  3. Truth table - Wikipedia

    en.wikipedia.org/wiki/Truth_table

    For an n-input LUT, the truth table will have 2^n values (or rows in the above tabular format), completely specifying a Boolean function for the LUT. By representing each Boolean value as a bit in a binary number, truth table values can be efficiently encoded as integer values in electronic design automation (EDA) software. For example, a 32 ...

  4. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    Functions involving two or more variables require multidimensional array indexing techniques. The latter case may thus employ a two-dimensional array of power[x][y] to replace a function to calculate x y for a limited range of x and y values. Functions that have more than one result may be implemented with lookup tables that are arrays of ...

  5. Decision table - Wikipedia

    en.wikipedia.org/wiki/Decision_table

    Decision tables are a concise visual representation for specifying which actions to perform depending on given conditions. Decision table is the term used for a Control table or State-transition table in the field of Business process modeling; they are usually formatted as the transpose of the way they are formatted in Software engineering.

  6. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).

  7. Valuation using multiples - Wikipedia

    en.wikipedia.org/wiki/Valuation_using_multiples

    In practice, no two businesses are alike, and analysts will often make adjustment to the observed multiples in order to attempt to harmonize the data into a more comparable format. These adjustments may be based on a number of factors, including: Industrial / business environment factors: Business model, industry, geography, seasonality, inflation

  8. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    C suffers from the disadvantage that it does not reach a maximum of 1.0, notably the highest it can reach in a 2 × 2 table is 0.707 . It can reach values closer to 1.0 in contingency tables with more categories; for example, it can reach a maximum of 0.870 in a 4 × 4 table.

  9. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    An inner join (or join) requires each row in the two joined tables to have matching column values, and is a commonly used join operation in applications but should not be assumed to be the best choice in all situations. Inner join creates a new result table by combining column values of two tables (A and B) based upon the join-predicate.