Consider a stack which supports push and pop, which we would like to back up periodically...
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Consider a stack which supports push and pop, which we would like to back up periodically by copying it to disk. We can do this by keeping a counter x, initialized to 0 and incremented by 1 on every push or pop; if this increment results in x = N then we copy the current stack to disk and reset x to 0. The cost of copying the stack to disk is proportional to the number of items on the stack, and the cost of pushing or popping an item (but not including the cost of copying to disk) is O(1). (a) Define potential function. Given a potential function, explain how one can use it to obtain amortized costs. (b) Suppose that the stack size never exceeds N items. Using a potential function, or otherwise, show that the amortized costs of both push and pop are 0(1), asymptotic in N. To 1 (c) Suppose there is no restriction on stack size. Show that the amortized costs cannot both be O(1). Consider a stack which supports push and pop, which we would like to back up periodically by copying it to disk. We can do this by keeping a counter x, initialized to 0 and incremented by 1 on every push or pop; if this increment results in x = N then we copy the current stack to disk and reset x to 0. The cost of copying the stack to disk is proportional to the number of items on the stack, and the cost of pushing or popping an item (but not including the cost of copying to disk) is O(1). (a) Define potential function. Given a potential function, explain how one can use it to obtain amortized costs. (b) Suppose that the stack size never exceeds N items. Using a potential function, or otherwise, show that the amortized costs of both push and pop are 0(1), asymptotic in N. To 1 (c) Suppose there is no restriction on stack size. Show that the amortized costs cannot both be O(1).
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This appears to be a question related to the concept of amortized analysis in data structures specifically analyzing the amortized cost of operations on a stack data structure with a particular copyin... View the full answer
Related Book For
An Introduction to the Mathematics of Financial Derivatives
ISBN: 978-0123846822
3rd edition
Authors: Ali Hirsa, Salih N. Neftci
Posted Date:
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