amortized analysis

Dynamic arrays are a common example when teaching amortized analysis.

The running time is analyzed using the amortized analysis.

A simple amortized analysis of static splay trees can be carried out using the potential method.

Typically, amortized analysis is used in combination with a worst case assumption about the input sequence.

Time and space for modifications require amortized analysis.

Efficiency of randomized online algorithms for the paging problem is measured using amortized analysis.

Robert Tarjan proved that the Amortized analysis number of splits/merges is 2.

The difficulty with problems that require amortized analysis is that, in general, some of the operations will require greater than constant cost.

In common usage, an "amortized algorithm" is one that an amortized analysis has shown to perform well.

Online algorithms commonly use amortized analysis.

In computer science, especially analysis of algorithms, 'amortized analysis' finds the average running time per operation over a worst-case 'sequence' of operations.

In computer science, amortized analysis is a method of analyzing algorithms that considers the entire sequence of operations of the program.

There are generally three methods for performing amortized analysis: the aggregate method, the accounting method, and the potential method.

See also "amortized analysis".

A function used in the potential method of amortized analysis to describe an investment of resources by past operations that can be used by future operations.

In the field of analysis of algorithms in computer science, the accounting method is a method of amortized analysis based on accounting.

Amortized analysis initially emerged from a method called aggregate analysis, which is now subsumed by amortized analysis.

Amortized analysis differs from Average performance in that probability is not involved; amortized analysis guarantees the time per operation over worst-case performance.

He discovered amortized analysis and he invented many data structures with Robert Tarjan, such as splay trees, link/cut trees, and skew heaps.

There are several techniques used in amortized analysis: The 'Toyota Camry' is a mid-size car, formerly a compact car manufactured by Toyota since 1980 .

Without amortized analysis, the best bound we can show for n insert operations is O(n) - this is due to the loop at line 4 that performs num(T) elementary insertions.

By carefully "corrupting" (increasing) the keys of at most a certain fixed percentage of values in the heap, it is able to achieve amortized analysis constant-time bounds for all five of its operations:

When analyzing algorithms which often take a small time to complete, but periodically require a much larger time, amortized analysis can be used to determine the worst-case running time over a (possibly infinite) series of operations.