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Property of an algorithm
science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency
Algorithmic_efficiency
Degree to which a process minimizes waste of resources
efficiency in the economy, society and government In computing: Algorithmic efficiency, optimizing the speed and memory requirements of a computer program
Efficiency
Topics referred to by the same term
economic systems from an algorithmic point of view Algorithmic number theory, algorithms for number-theoretic computation Algorithmic game theory, game-theoretic
Algorithmic
Algorithm for computing greatest common divisors
series, showing that it is also O(h2). Modern algorithmic techniques based on the Schönhage–Strassen algorithm for fast integer multiplication can be used
Euclidean_algorithm
Study of algorithms in strategic environments
while maintaining computational efficiency. Algorithm designers in this domain must satisfy traditional algorithmic requirements (such as polynomial-time
Algorithmic_game_theory
Sequence of operations for a task
aversion Algorithm engineering Algorithm characterizations Algorithmic bias Algorithmic composition Algorithmic entities Algorithmic synthesis Algorithmic technique
Algorithm
Combined real-and-virtual environment
complexity theory Logic Semantics Algorithms Algorithm design Analysis of algorithms Algorithmic efficiency Randomized algorithm Computational geometry Mathematics
Extended_reality
Polynomial-time algorithm for the assignment problem
Jack; Karp, Richard M. (1 April 1972). "Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems". Journal of the ACM. 19 (2): 248–264
Hungarian_algorithm
resource usage, and the efficiency of an algorithm can be measured based on usage of different resources. Algorithmic efficiency can be thought of as analogous
Glossary_of_computer_science
Environmentally sustainable computing and information technology
computing or IT. The goals of green computing include optimising energy efficiency during the product's lifecycle; leveraging greener energy sources to power
Green_computing
Algorithms which recursively solve subproblems
originally a political maxim, designates an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or
Divide-and-conquer_algorithm
Act of performing an initial computation before run time
intermediate results at the beginning of an algorithm's execution can often increase algorithmic efficiency substantially. This becomes advantageous when
Precomputation
Card game
game to benchmark how heuristic algorithms compete against human decision-making patterns. This algorithmic efficiency has also enabled the game to be
Gin_rummy
Method of executing orders
simple retail tools. Algorithmic trading is widely used in equities, futures, crypto, and foreign exchange markets. The term algorithmic trading is often
Algorithmic_trading
Limiting factor in software engineering
sections of code perform as effectively as possible to improve overall algorithmic efficiency. Performance engineering Profiling (computer programming) "What
Bottleneck_(software)
Improving the efficiency of software
select a method (algorithm) that is more computationally efficient, while retaining the same functionality. See algorithmic efficiency for a discussion
Program_optimization
Mathematical optimization problem
Edmonds & Richard M. Karp (1972). "Theoretical improvements in algorithmic efficiency for network flow problems". Journal of the ACM. 19 (2): 248–264
Minimum-cost_flow_problem
Situation of degraded computer performance
functions. Actual (measurable) bloat can occur due to de-emphasising algorithmic efficiency in favour of other concerns like developer productivity, or possibly
Software_bloat
Algorithm that arranges lists in order
sorting is important for optimizing the efficiency of other algorithms (such as search and merge algorithms) that require input data to be in sorted
Sorting_algorithm
American annual computer science prize
2024. Retrieved March 4, 2024. Perlis, A. J. (1967). "The Synthesis of Algorithmic Systems". Journal of the ACM. 14: 1–9. doi:10.1145/321371.321372. S2CID 12937998
Turing_Award
Form of inter-process communication in computer systems
inter-process communications, as signals are notable for their algorithmic efficiency. Signals are similar to interrupts, the difference being that interrupts
Signal_(IPC)
Algorithm to compute the maximum flow in a flow network
Edmonds, Jack; Karp, Richard M. (1972). "Theoretical improvements in algorithmic efficiency for network flow problems" (PDF). Journal of the ACM. 19 (2): 248–264
Edmonds–Karp_algorithm
Source code that alters its instructions to the hardware while executing
repetitive conditional branches. Self-modifying code can improve algorithmic efficiency. Self-modifying code is harder to read and maintain because the
Self-modifying_code
Concept in software engineering and computer science
complexity theory Logic Semantics Algorithms Algorithm design Analysis of algorithms Algorithmic efficiency Randomized algorithm Computational geometry Mathematics
Ubiquitous_computing
Method to find shortest paths
Edmonds, J.; Karp, Richard M. (1972), "Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems", Journal of the ACM, 19 (2): 248–264
Johnson's_algorithm
Computer program with low system resource usage
should avoid software bloat and code bloat and try to find the best algorithm efficiency. While all software development generally tries to avoid excessive
Lightweight_software
Consumption of resources that is indirectly required to achieve a goal
whereas the fundamental running time of an algorithm does not. This should be contrasted with algorithmic efficiency, which takes into account all kinds of
Overhead_(computing)
American mathematician
identification of polynomial-time computability with the intuitive notion of algorithmic efficiency, and, most notably, contributions to the theory of NP-completeness
Richard_M._Karp
Component whose failure will disrupt the entire system
sections of code perform as fast as possible to improve overall algorithmic efficiency. A vulnerability or security exploit in just one component can compromise
Single_point_of_failure
Phenomenon in engineering
sections of code perform as fast as possible to improve overall algorithmic efficiency. In a communication network, sometimes a max-min fairness of the
Bottleneck_(engineering)
Programming statement for branching control based on a value
of this construct which have survived through modern languages. Algorithmic efficiency Index mapping Guntheroth, Kurt (April 27, 2016). Optimized C++.
Switch_statement
Weakly optimal allocation of resources
addition to the context of efficiency in allocation, the concept of Pareto efficiency also arises in the context of efficiency in production vs. x-inefficiency:
Pareto_efficiency
Measuring the time or resources used by a section of a computer program
running the unmodified program under an instruction set simulator. Algorithmic efficiency Benchmark – Standardized performance evaluation Java performance –
Profiling (computer programming)
Profiling_(computer_programming)
19th century proposed mechanical computer
automatic computer would kindle interest in the field now known as algorithmic efficiency, writing in his Passages from the Life of a Philosopher, "As soon
Analytical_engine
Particular way of storing and organizing data in a computer
structure almost always has a greater impact on efficiency than the choice of algorithm, as the algorithm is often self-evident. Data structures are used
Data_structure
Amount of useful work accomplished by a computer
balance between brainiac techniques and speedracer techniques. Algorithmic efficiency Compute (machine learning) Computer performance by orders of magnitude
Computer_performance
the 1970s and algorithmic management is becoming increasingly widespread across a wide range of industries. The concept of algorithmic management can
Algorithmic_management
Type of randomized algorithm
Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are
Monte_Carlo_algorithm
Measure of parallel computing efficacy
Cost efficiency (or cost optimality), in the context of parallel computer algorithms, refers to a measure of how effectively parallel computing can be
Cost_efficiency
Means of improving the efficiency of TCP/IP networks
Nagle's algorithm is a means of improving the efficiency of TCP/IP networks by reducing the number of packets that need to be sent over the network. It
Nagle's_algorithm
Use of empirical methods to study algorithms
improvements in algorithmic efficiency. American computer scientist Catherine McGeoch identifies two main branches of empirical algorithmics: the first (known
Empirical_algorithmics
Algorithm trading more space for lower time
as time–memory trade-off or the algorithmic space-time continuum) in computer science is a trade-off where an algorithm or program increased space usage
Space–time_tradeoff
Compiler optimization technique
POP AF Object code optimizers, discussion in relation to general algorithmic efficiency Capex Corporation – produced the COBOL optimizer, an early mainframe
Peephole_optimization
Topics referred to by the same term
used by the algorithm Efficiency (economics), a situation in which nothing can be improved without something else being hurt Efficiency (fair division)
Efficiency_(disambiguation)
Algorithm used for pathfinding and graph traversal
and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. Given a weighted
A*_search_algorithm
Topics referred to by the same term
Coding efficiency may refer to: Data compression efficiency Algorithmic efficiency Efficient coding hypothesis Efficiency (disambiguation) Coding (disambiguation)
Coding_efficiency
French mathematician (1795–1870)
de la chaleur (Mallet-Bachelier) Lamé’s Theorem Euclidean algorithm (Algorithmic efficiency) Lamé crater Piet Hein Julius Plücker Helmholtz equation Proof
Gabriel_Lamé
Study of resources used by an algorithm
implementations of the same algorithm may differ in efficiency. However the efficiencies of any two "reasonable" implementations of a given algorithm are related by
Analysis_of_algorithms
Recursively-formed graph with two terminal vertices
graphs (GSP-graphs) are an extension of the SP-graphs with the same algorithmic efficiency for the mentioned problems. The class of GSP-graphs include the
Series–parallel_graph
Defunct US government agency
The Department of Government Efficiency (DOGE) was a United States federal initiative launched by the second Trump administration. It was first suggested
Department of Government Efficiency
Department_of_Government_Efficiency
Framework for analyzing machine learning algorithms
Synonyms include formal learning theory and algorithmic inductive inference[citation needed]. Algorithmic learning theory is different from statistical
Algorithmic_learning_theory
Algorithm in game theory
combinatorial multi-player games. The algorithm is particularly valuable in computer game AI where computational efficiency is crucial and the simplified opponent
Paranoid_algorithm
Computer system simulating intelligence
science, computational intelligence (CI) refers to concepts, paradigms, algorithms and implementations of systems that are designed to show "intelligent"
Computational_intelligence
Subfield of information theory and computer science
and the relations between them: algorithmic complexity, algorithmic randomness, and algorithmic probability. Algorithmic information theory principally
Algorithmic information theory
Algorithmic_information_theory
Algorithm for virtual memory implementation
problem has also been done in the field of online algorithms. Efficiency of randomized online algorithms for the paging problem is measured using amortized
Page_replacement_algorithm
Overview of and topical guide to computer programming
of algorithms Empirical algorithmics Big O notation Algorithmic efficiency Algorithmic information theory Algorithmic probability Algorithmically random
Outline of computer programming
Outline_of_computer_programming
List of concepts in artificial intelligence
resource usage, and the efficiency of an algorithm can be measured based on usage of different resources. Algorithmic efficiency can be thought of as analogous
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Topics referred to by the same term
Computing performance can mean: Algorithmic efficiency (software) Computer performance (hardware) This disambiguation page lists articles associated with
Computing_performance
Overview of and topical guide to algorithms
Latinized name is associated with the word algorithm Algorithmic logic — logic-based study of programs and algorithms Computability theory — study of what can
Outline_of_algorithms
Fast Fourier Transform algorithm
prime-factor algorithm can be exploited for greater efficiency in separating out relatively prime factors. The algorithm, along with its recursive application, was
Cooley–Tukey_FFT_algorithm
Competitive algorithm for searching a problem space
Gaussian distributions. The efficiency of NA relies on information theory and a certain theorem of efficiency. Its efficiency is defined as information
Genetic_algorithm
Computational problem in graph theory
Jack; Karp, Richard M. (April 1972). "Theoretical improvements in algorithmic efficiency for network flow problems". Journal of the ACM. 19 (2): 248–264
Maximum_flow_problem
Aspect of computational complexity theory
can determine whether algorithms for solving the problem are optimal and we can make statements about an algorithm's efficiency. The set of all of the
Computational_resource
Measure of algorithmic complexity
known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin complexity, program-size complexity, descriptive complexity, or algorithmic entropy. It
Kolmogorov_complexity
outperforms other persistent homology software. Methods of improving algorithmic efficiency of multiparameter persistent homology have also been explored that
Degree-Rips_bifiltration
identification of polynomial-time computability with the intuitive notion of algorithmic efficiency, and, most notably, contributions to the theory of NP-completeness
List of University of California, Berkeley faculty
List_of_University_of_California,_Berkeley_faculty
Book on computer programming, used as textbook for algorithms courses
descriptions focus on the aspects of the algorithm itself, its mathematical properties, and emphasize efficiency. The first edition of the textbook did
Introduction_to_Algorithms
Compiler that optimizes generated code
chain analysis Live-variable analysis Available expression analysis Algorithmic efficiency Compile-time function execution Full-employment theorem Just-in-time
Optimizing_compiler
ISBN 978-0-19-162080-5. A. P. Ershov, Donald Ervin Knuth, ed. (1981). Algorithms in modern mathematics and computer science: proceedings, Urgench, Uzbek
List of pioneers in computer science
List_of_pioneers_in_computer_science
Subset of artificial intelligence
paradigms: the data model and the algorithmic model, wherein "algorithmic model" means more or less the machine learning algorithms like Random forest.[clarification
Machine_learning
Algorithm for finding sub-text location(s) inside a given sentence in Big O(n) time
In computer science, the Knuth–Morris–Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within
Knuth–Morris–Pratt_algorithm
Natural language processing algorithm
such as the Simplified Lesk algorithm, have demonstrated improved precision and efficiency. However, the Lesk algorithm has faced criticism for its sensitivity
Lesk_algorithm
String searching algorithm
that have to be made, which is the key to the efficiency of the algorithm. More formally, the algorithm begins at alignment k = m {\displaystyle k=m}
Boyer–Moore string-search algorithm
Boyer–Moore_string-search_algorithm
Length in a vector space
example, different norms can lead to different fits and different algorithm efficiencies. All seminorms on a vector space X {\displaystyle X} can be classified
Norm_(mathematics)
cryptography. The algorithm is an extension of Schoof's algorithm by Noam Elkies and A. O. L. Atkin to significantly improve its efficiency (under heuristic
Schoof–Elkies–Atkin_algorithm
Search algorithm
time-efficient, but typically at a heavy cost in space-efficiency. Minimax Expectiminimax Negamax Pruning (algorithm) Branch and bound Combinatorial optimization
Alpha–beta_pruning
Method in speedcubing
Layer) with 493 algorithms and COLL (Corners of the Last Layer) with 42 algorithms, can also be learned to further improve solving efficiency. F2L can be
CFOP_method
Electronic system in the stock market
organisation that provides the order matching system. The matching algorithms decide the efficiency and robustness of the order matching system. There are two
Order_matching_system
Mathematical construct in computer algebra
algorithm. The implementation techniques and algorithmic variants are not always documented, although they may have a dramatic effect on efficiency.
Gröbner_basis
Technique in digital signal processing
the algorithm, the FIR filter stage must be evaluated once using the final two outputs from the IIR filter stage, while for computational efficiency the
Goertzel_algorithm
Clustering and community detection algorithm
The Leiden algorithm is a community detection algorithm developed by Traag et al at Leiden University. It was developed as a modification of the Louvain
Leiden_algorithm
String-searching algorithm
incremental version of the algorithm in which the search string set can be incrementally extended during the search, retaining the algorithmic complexity of the
Aho–Corasick_algorithm
Video compression format, succeeds H.264/MPEG-4 AVC
High Efficiency Video Coding (HEVC), also known as H.265 and MPEG-H Part 2, is a patent-encumbered video compression standard designed as part of the MPEG-H
High_Efficiency_Video_Coding
Algorithm for linear programming
optimization, Dantzig's simplex algorithm (or simplex method) is an algorithm for linear programming. The name of the algorithm is derived from the concept
Simplex_algorithm
Technique for polynomial interpolation
In mathematics, Neville's algorithm is an algorithm used for polynomial interpolation that was derived by the mathematician Eric Harold Neville in 1934
Neville's_algorithm
American academic (born 1963)
Remapping" (PDF). Pham, Duc Hung (August 2021). "Characterizing Algorithmic Efficiencies through Concentration" (PDF). ProQuest. "From academic halls to
Krishna_Palem
gap between algorithmics theory and practical applications of algorithms in software engineering. It is a general methodology for algorithmic research.
Algorithm_engineering
Concurrent programming algorithm for mutual exclusion
Peterson's algorithm (or Peterson's solution) is a concurrent programming algorithm for mutual exclusion that allows two or more processes to share a single-use
Peterson's_algorithm
Algorithm whose behavior and output may depend on the run
problem encapsulates this conjectured greater efficiency available to nondeterministic algorithms. Algorithms of this sort are used to define complexity
Nondeterministic_algorithm
Parsing algorithm for context-free grammars
transformation algorithm used. For the use in teaching, Lange and Leiß propose a slight generalization of the CYK algorithm, "without compromising efficiency of the
CYK_algorithm
Search heuristic for combinatorial games
allows alpha-beta search to compete in the terms of efficiency against other pruning algorithms. Alpha-beta pruning achieves its performance by using
Aspiration_window
Computer algorithm
The buddy memory allocation technique is a memory allocation algorithm that divides memory into partitions to try to satisfy a memory request as suitably
Buddy_memory_allocation
set, will clearly hold a trade-off in efficiency versus performance. One way to increase efficiency of the algorithm is by selecting a low degree of freedom
Condensation_algorithm
Algorithm for visible surface determination in 3D graphics
The painter's algorithm (also depth-sort algorithm and priority fill) is an algorithm for visible surface determination in 3D computer graphics that works
Painter's_algorithm
Hungarian mathematician (born 1955)
Excellence in Operations Research Practice for helping to improve algorithmic efficiency at the Pennsylvania Department of Corrections by creating the unique
Tamás_Terlaky
Procedure for finding a stable matching
unmatched. A stable matching always exists, and the algorithmic problem solved by the Gale–Shapley algorithm is to find one. The stable matching problem has
Gale–Shapley_algorithm
Class of computational fluid dynamics methods
interconnection network). It enables complex physics and sophisticated algorithms. Efficiency leads to a qualitatively new level of understanding since it allows
Lattice_Boltzmann_methods
Classification of algorithm
A galactic algorithm is an algorithm with record-breaking theoretical (asymptotic) performance, but which is not used due to practical constraints. Typical
Galactic_algorithm
Integration of software development and operations
developed a set of metrics which are intended to measure software development efficiency and reliability. These metrics include: Deployment Frequency: Time between
DevOps
Description of the average spectral sensitivity of human visual perception of brightness
A luminous efficiency function or luminosity function represents the average spectral sensitivity of human visual perception of light. It is based on subjective
Luminous_efficiency_function
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