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  2. Jagged array - Wikipedia

    en.wikipedia.org/wiki/Jagged_array

    int [][] c; c = new int [2][]; // creates 2 rows c [0] = new int [5]; // 5 columns for row 0 c [1] = new int [3]; // create 3 columns for row 1 In C and C++ , a jagged array can be created (on the stack) using the following code:

  3. Integer programming - Wikipedia

    en.wikipedia.org/wiki/Integer_programming

    There are two main reasons for using integer variables when modeling problems as a linear program: The integer variables represent quantities that can only be integer. For example, it is not possible to build 3.7 cars. The integer variables represent decisions (e.g. whether to include an edge in a graph) and so should only take on the value 0 or 1.

  4. Array (data structure) - Wikipedia

    en.wikipedia.org/wiki/Array_(data_structure)

    B + c 1 · i 1 + c 2 · i 2 + … + c k · i k. For example: int a[2][3]; This means that array a has 2 rows and 3 columns, and the array is of integer type. Here we can store 6 elements they will be stored linearly but starting from first row linear then continuing with second row. The above array will be stored as a 11, a 12, a 13, a 21, a 22 ...

  5. Lazy evaluation - Wikipedia

    en.wikipedia.org/wiki/Lazy_evaluation

    In Python 3.x the range() function [28] returns a generator which computes elements of the list on demand. Elements are only generated when they are needed (e.g., when print(r[3]) is evaluated in the following example), so this is an example of lazy or deferred evaluation: >>>

  6. Dimensionality reduction - Wikipedia

    en.wikipedia.org/wiki/Dimensionality_reduction

    The process of feature selection aims to find a suitable subset of the input variables (features, or attributes) for the task at hand.The three strategies are: the filter strategy (e.g., information gain), the wrapper strategy (e.g., accuracy-guided search), and the embedded strategy (features are added or removed while building the model based on prediction errors).

  7. Data type - Wikipedia

    en.wikipedia.org/wiki/Data_type

    The standard type hierarchy of Python 3. In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. [1]

  8. Boolean data type - Wikipedia

    en.wikipedia.org/wiki/Boolean_data_type

    Python, from version 2.3 forward, has a bool type which is a subclass of int, the standard integer type. [10] It has two possible values: True and False , which are special versions of 1 and 0 respectively and behave as such in arithmetic contexts.

  9. Integer overflow - Wikipedia

    en.wikipedia.org/wiki/Integer_overflow

    If the variable has a signed integer type, a program may make the assumption that a variable always contains a positive value. An integer overflow can cause the value to wrap and become negative, which violates the program's assumption and may lead to unexpected behavior (for example, 8-bit integer addition of 127 + 1 results in −128, a two's ...