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Searching for Algorithms

Searching for Algorithms
22問 • 1年前
  • iam noone
    • 通報

    問題一覧

  • 1

    is the process of finding a given value position in a list of values.

    Searching

  • 2

    is traversed sequentially and every element is checked.

    Sequential Search

  • 3

    These algorithms are specifically designed for searching in sorted data-structures.

    Interval Search

  • 4

    is also called as sequential search algorithm. It is the simplest searching algorithm. In Linear search, we simply traverse the list completely and match each element of the list with the item whose location is to be found. If the match is found, then the location of the item is returned; otherwise, the algorithm returns NULL.(used to search unordered list)

    Linear Search

  • 5

    Best case (Linear)

    O(1)

  • 6

    Average Case (Linear)

    O(n)

  • 7

    Worst case (Linear)

    O(n)

  • 8

    occurs when the element we are finding is at the first position of the array.

    Best Case

  • 9

    occurs when the element we are looking is present at the end of the array.

    Worst Case Complexity

  • 10

    Time complexity of LINEAR is

    O(n)

  • 11

    search technique that works efficiently on sorted lists. Hence, to search an element into some list using the binary search technique, we must ensure that the list is sorted.

    Binary Search

  • 12

    a relatively new algorithm for searching an element in a sorted array.

    Jump search

  • 13

    improved variant of binary search. This search algorithm works on the probing position of the required value.

    Interpolation Search

  • 14

    also known as doubling or galloping search

    Exponential Search

  • 15

    is another variant of binary search based on divide and conquer technique.

    Fibonacci search

  • 16

    used to detect a presence of one list in another list.

    sublist search

  • 17

    Designed to check for an element or retrieve

    Searching Algorithms

  • 18

    Method that follows divide and conquer approach

    Recursive method

  • 19

    Almost the whole algorithm is similar to that binary search, Except selecting the

    Pivot point or probe

  • 20

    Best Case (Binary)

    O(1)

  • 21

    Average Case (Binary)

    O(log n)

  • 22

    Worst Case (Binary)

    O(log n)

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    問題一覧

  • 1

    is the process of finding a given value position in a list of values.

    Searching

  • 2

    is traversed sequentially and every element is checked.

    Sequential Search

  • 3

    These algorithms are specifically designed for searching in sorted data-structures.

    Interval Search

  • 4

    is also called as sequential search algorithm. It is the simplest searching algorithm. In Linear search, we simply traverse the list completely and match each element of the list with the item whose location is to be found. If the match is found, then the location of the item is returned; otherwise, the algorithm returns NULL.(used to search unordered list)

    Linear Search

  • 5

    Best case (Linear)

    O(1)

  • 6

    Average Case (Linear)

    O(n)

  • 7

    Worst case (Linear)

    O(n)

  • 8

    occurs when the element we are finding is at the first position of the array.

    Best Case

  • 9

    occurs when the element we are looking is present at the end of the array.

    Worst Case Complexity

  • 10

    Time complexity of LINEAR is

    O(n)

  • 11

    search technique that works efficiently on sorted lists. Hence, to search an element into some list using the binary search technique, we must ensure that the list is sorted.

    Binary Search

  • 12

    a relatively new algorithm for searching an element in a sorted array.

    Jump search

  • 13

    improved variant of binary search. This search algorithm works on the probing position of the required value.

    Interpolation Search

  • 14

    also known as doubling or galloping search

    Exponential Search

  • 15

    is another variant of binary search based on divide and conquer technique.

    Fibonacci search

  • 16

    used to detect a presence of one list in another list.

    sublist search

  • 17

    Designed to check for an element or retrieve

    Searching Algorithms

  • 18

    Method that follows divide and conquer approach

    Recursive method

  • 19

    Almost the whole algorithm is similar to that binary search, Except selecting the

    Pivot point or probe

  • 20

    Best Case (Binary)

    O(1)

  • 21

    Average Case (Binary)

    O(log n)

  • 22

    Worst Case (Binary)

    O(log n)