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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)

    • Data Structure (history)

    Data Structure (history)

    iam noone · 64問 · 1年前

    Data Structure (history)

    Data Structure (history)

    64問 • 1年前
    iam noone

    Linear Data Structure

    Linear Data Structure

    iam noone · 43問 · 1年前

    Linear Data Structure

    Linear Data Structure

    43問 • 1年前
    iam noone

    Linked list/ Trees and graphs

    Linked list/ Trees and graphs

    iam noone · 51問 · 1年前

    Linked list/ Trees and graphs

    Linked list/ Trees and graphs

    51問 • 1年前
    iam noone

    Sorting algorithms

    Sorting algorithms

    iam noone · 41問 · 1年前

    Sorting algorithms

    Sorting algorithms

    41問 • 1年前
    iam noone

    INTRO TO MS ACCESS(database)

    INTRO TO MS ACCESS(database)

    iam noone · 19問 · 1年前

    INTRO TO MS ACCESS(database)

    INTRO TO MS ACCESS(database)

    19問 • 1年前
    iam noone

    Introduction To Java Programming Language

    Introduction To Java Programming Language

    iam noone · 80問 · 1年前

    Introduction To Java Programming Language

    Introduction To Java Programming Language

    80問 • 1年前
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    Mod 2: Comp Prog

    Mod 2: Comp Prog

    iam noone · 55問 · 1年前

    Mod 2: Comp Prog

    Mod 2: Comp Prog

    55問 • 1年前
    iam noone

    COMP PROG MIDTERM

    COMP PROG MIDTERM

    iam noone · 42問 · 1年前

    COMP PROG MIDTERM

    COMP PROG MIDTERM

    42問 • 1年前
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    FUNDAMENTALS OF DATABASE (Lesson 1)

    FUNDAMENTALS OF DATABASE (Lesson 1)

    iam noone · 31問 · 1年前

    FUNDAMENTALS OF DATABASE (Lesson 1)

    FUNDAMENTALS OF DATABASE (Lesson 1)

    31問 • 1年前
    iam noone

    FUNDAMENTALS OF DATABASE (part2)

    FUNDAMENTALS OF DATABASE (part2)

    iam noone · 33問 · 1年前

    FUNDAMENTALS OF DATABASE (part2)

    FUNDAMENTALS OF DATABASE (part2)

    33問 • 1年前
    iam noone

    DATABASE 2-5 MOD

    DATABASE 2-5 MOD

    iam noone · 25問 · 1年前

    DATABASE 2-5 MOD

    DATABASE 2-5 MOD

    25問 • 1年前
    iam noone

    DEPTALS (COMP PROG)

    DEPTALS (COMP PROG)

    iam noone · 49問 · 1年前

    DEPTALS (COMP PROG)

    DEPTALS (COMP PROG)

    49問 • 1年前
    iam noone

    HCI HISTORY

    HCI HISTORY

    iam noone · 18問 · 11ヶ月前

    HCI HISTORY

    HCI HISTORY

    18問 • 11ヶ月前
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    Module 1 (System Analysis)

    Module 1 (System Analysis)

    iam noone · 18問 · 12ヶ月前

    Module 1 (System Analysis)

    Module 1 (System Analysis)

    18問 • 12ヶ月前
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    Module 1 (Data Analytics)

    Module 1 (Data Analytics)

    iam noone · 35問 · 12ヶ月前

    Module 1 (Data Analytics)

    Module 1 (Data Analytics)

    35問 • 12ヶ月前
    iam noone

    Module 2(Data Analytics)

    Module 2(Data Analytics)

    iam noone · 35問 · 11ヶ月前

    Module 2(Data Analytics)

    Module 2(Data Analytics)

    35問 • 11ヶ月前
    iam noone

    Module 1 (Networking)

    Module 1 (Networking)

    iam noone · 25問 · 12ヶ月前

    Module 1 (Networking)

    Module 1 (Networking)

    25問 • 12ヶ月前
    iam noone

    Module 1 (Info Assurance)

    Module 1 (Info Assurance)

    iam noone · 22問 · 12ヶ月前

    Module 1 (Info Assurance)

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    22問 • 12ヶ月前
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    mod 1 IT LIVING

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    iam noone · 61問 · 11ヶ月前

    mod 1 IT LIVING

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    61問 • 11ヶ月前
    iam noone

    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)