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Addressing in One Dimensional Array: Data Structure Video Lecture | Crash Course: Computer Science Engineering (CSE)
FAQs on Addressing in One Dimensional Array: Data Structure Video Lecture - Crash Course: Computer Science Engineering (CSE)
| 1. What is a one-dimensional array in data structures? |  |
Ans. A one-dimensional array in data structures is a linear data structure that stores elements of the same type in contiguous memory locations. It is also known as a vector or a list. Each element in the array can be accessed using its index value.
| 2. How is addressing done in a one-dimensional array? | |
Ans. Addressing in a one-dimensional array is done by using the index value of each element. The first element of the array has an index of 0, the second element has an index of 1, and so on. The memory location of an element can be calculated using the formula: address = base_address + (index * size_of_each_element).
| 3. What is the advantage of using a one-dimensional array? | |
Ans. Using a one-dimensional array provides several advantages, including:
- Efficient memory utilization: Elements are stored in contiguous memory locations, allowing for efficient memory management.
- Random access: Elements can be accessed directly using their index, providing fast and constant time access.
- Easy traversal: Iterating through the elements of a one-dimensional array is straightforward, making it convenient for various operations.
| 4. Can a one-dimensional array store elements of different data types? | |
Ans. No, a one-dimensional array can only store elements of the same data type. The data type of the array is determined during its declaration, and all elements must adhere to this data type. If different data types need to be stored, a multidimensional array or a structure can be used.
| 5. How can we efficiently search for an element in a one-dimensional array? | |
Ans. To efficiently search for an element in a one-dimensional array, we can use techniques like linear search or binary search.
- Linear search: In linear search, each element of the array is compared with the target element until a match is found or the end of the array is reached. This search has a time complexity of O(n) in the worst case.
- Binary search: In binary search, the array must be sorted in ascending order. The array is divided into halves repeatedly, and the target element is compared with the middle element of each half. This search has a time complexity of O(log n) in the worst case. However, binary search can only be applied to sorted arrays.
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Dec 22, 2024 Last updated |
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