the purpose of pointer in c for saving the memory space.,and reduce the length and complexity of the program
Calculate the amount of additional memory used by the algorithm relative to the number of its inputs. Typically the number of inputs is defined by a container object or data sequence of some type, such as an array. If the amount of memory consumed remains the same regardless of the number of inputs, then the space complexity is constant, denoted O(1) in Big-Omega notation (Big-O). If the amount of memory consumed increases linearly as n increases, then the space complexity is O(n). For example, the algorithm that sums a data sequence has O(1) space complexity because the number of inputs does not affect the amount of additional memory consumed by the accumulator. However, the algorithm which copies a data sequence of n elements has a space complexity of O(n) because the algorithm must allocate n elements to store the copy. Other commonly used complexities include O(n*n) to denote quadratic complexity and O(log n) to denote (binary) logarithmic complexity. Combinations of the two are also permitted, such as O(n log n).
"Running Time" is essentially a synonym of "Time Complexity", although the latter is the more technical term. "Running Time" is confusing, since it sounds like it could mean "the time something takes to run", whereas Time Complexity unambiguously refers to the relationship between the time and the size of the input.
time complexity is 2^57..and space complexity is 2^(n+1).
A sentence with the word complexity is this sentence doesn't have much complexity.
variable cant occupy contigious memory it may take complexity in storing vast data.this becomes easy on using the array concept....
switching complexity
The Complexity of Cooperation was created in 1997.
Complexity - journal - was created in 1995.
History and examination is determined by these 4 complexities: Straightforward. Low complexity. Moderate complexity. High complexity.
The complexity of this question is to great for an adequate answer
complexity of avl tree is o(n).