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In computer science, amortized analysis is a method for analyzing a given algorithm's complexity, or how much of a resource, especially time or memory, it takes to execute. The motivation for amortized analysis is, that looking at the worst-case run time can be too pessimistic. Instead, amortized analysis averages the running times of operations in a sequence over that sequence.As a conclusion: “Amortized analysis is a useful tool that complements other techniques such as worst-case and average-case analysis.“

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rdf:type	software
rdfs:label	Amortized analysis (en)
rdfs:comment	In computer science, amortized analysis is a method for analyzing a given algorithm's complexity, or how much of a resource, especially time or memory, it takes to execute. The motivation for amortized analysis is, that looking at the worst-case run time can be too pessimistic. Instead, amortized analysis averages the running times of operations in a sequence over that sequence.As a conclusion: “Amortized analysis is a useful tool that complements other techniques such as worst-case and average-case analysis.“ (en)
sameAs	Amortized analysis
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Subject	Amortized data structures Analysis of algorithms Articles with example Ruby code
Link from a Wikipage to an external page	https://www.cs.cmu.edu/afs/cs/academic/class/15451-s07/www/lecture_notes/lect0206.pdf%7Ctitle=Lecture https://www.cs.technion.ac.il/~rani/book.html
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Link from a Wikipage to another Wikipage	Union type Worst-case execution time Accounting method (computer science) Allan Borodin Analysis of algorithms Average-case complexity Big O notation Binary tree State (computer science) Carnegie Mellon University Amortized data structures Analysis of algorithms Articles with example Ruby code Potential method Robert Tarjan Time complexity Algorithmic complexity Computer science Dynamic array Online algorithm Data structure Execution (computing) FIFO (computing and electronics) Queue (abstract data type)
has abstract	In computer science, amortized analysis is a method for analyzing a given algorithm's complexity, or how much of a resource, especially time or memory, it takes to execute. The motivation for amortized analysis is, that looking at the worst-case run time can be too pessimistic. Instead, amortized analysis averages the running times of operations in a sequence over that sequence.As a conclusion: “Amortized analysis is a useful tool that complements other techniques such as worst-case and average-case analysis.“ For a given operation of an algorithm, certain situations (e.g., input parametrizations or data structure contents) may imply a significant cost in resources, whereas other situations may not be as costly. The amortized analysis considers both the costly and less costly operations together over the whole sequence of operations. This may include accounting for different types of input, length of the input, and other factors that affect its performance. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Amortized_analysis
is Wikipage redirect of	Amortised analysis Amortized Analysis Aggregate analysis Amortization (computer science) Amortized Amortized complexity Amortized constant-time Amortized constant time Amortized time
is Link from a Wikipage to another Wikipage of	2–3 heap A* search algorithm AVL tree Accounting method (computer science) Aggregate Amortised analysis Amortization Amortization (business) Amortized Analysis Analysis of algorithms Average-case complexity Basic Linear Algebra Subprograms Best, worst and average case Binary search algorithm Binary search tree Binomial heap Monotone priority queue Cache-oblivious algorithm Disjoint-set data structure Double-ended priority queue Double-ended queue Leftist tree Oblivious RAM Ctrie Daniel Sleator Day–Stout–Warren algorithm Link/cut tree Linked list Competitive analysis (online algorithm) Component (graph theory) Algorithmic complexity Computational geometry Dynamic array Dynamic perfect hashing List of computability and complexity topics List of computer scientists Finger tree Gap buffer

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