Binary search is a popular search algorithm in computer science and data structures. It works by repeatedly dividing in half the portion of the list that could contain the item, until you've narrowed down the possible locations to just one.

Here are the steps involved in Binary Search:

1. **Start with the middle:** The algorithm starts at the middle of a sorted data structure. If the value is equal to the one we are searching for, we are done.

2. **Divide and Conquer:** If the value is less than what we are looking for, we know that everything to the left of this middle point can be ignored and we then search in the right half. If the value is greater, we do the opposite and search in the left half.

3. **Repeat the process:** This process is repeated, continually reducing the search space by half, until the value is found or the search space is empty.

4. **Return the result:** If the value is found, the algorithm returns the index of the value within the data structure. If the search space is empty, it means the value is not in the data structure, and a value indicating a failed search (like -1) is returned.

5. **Efficiency:** The efficiency of binary search is O(log n). This makes it very efficient for large data sets, as the number of steps grows logarithmically with the size of the data set.

Remember, binary search can only be applied to a list that is already sorted. If the list is not sorted, the results will be incorrect.

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Binary search is a popular search algorithm in computer science and data structures. It works by repeatedly dividing in half the portion of the list that could contain the item, until you've narrowed down the possible locations to just one.

Here are the steps involved in Binary Search:

1. **Start with the middle:** The algorithm starts at the middle of a sorted data structure. If the value is equal to the one we are searching for, we are done.

2. **Divide and Conquer:** If the value is less than what we are looking for, we know that everything to the left of this middle point can be ignored and we then search in the right half. If the value is greater, we do the opposite and search in the left half.

3. **Repeat the process:** This process is repeated, continually reducing the search space by half, until the value is found or the search space is empty.

4. **Return the result:** If the value is found, the algorithm returns the index of the value within the data structure. If the search space is empty, it means the value is not in the data structure, and a value indicating a failed search (like -1) is returned.

5. **Efficiency:** The efficiency of binary search is O(log n). This makes it very efficient for large data sets, as the number of steps grows logarithmically with the size of the data set.

Remember, binary search can only be applied to a list that is already sorted. If the list is not sorted, the results will be incorrect.

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Binary search is a popular search algorithm in computer science and data structures. It works by repeatedly dividing in half the portion of the list that could contain the item, until you've narrowed down the possible locations to just one.

Here are the steps involved in Binary Search:

1. **Start with the middle:** The algorithm starts at the middle of a sorted data structure. If the value is equal to the one we are searching for, we are done.

2. **Divide and Conquer:** If the value is less than what we are looking for, we know that everything to the left of this middle point can be ignored and we then search in the right half. If the value is greater, we do the opposite and search in the left half.

3. **Repeat the process:** This process is repeated, continually reducing the search space by half, until the value is found or the search space is empty.

4. **Return the result:** If the value is found, the algorithm returns the index of the value within the data structure. If the search space is empty, it means the value is not in the data structure, and a value indicating a failed search (like -1) is returned.

5. **Efficiency:** The efficiency of binary search is O(log n). This makes it very efficient for large data sets, as the number of steps grows logarithmically with the size of the data set.

Remember, binary search can only be applied to a list that is already sorted. If the list is not sorted, the results will be incorrect.

what is binary search in data structures?Give me the content for 5 marks

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