Live briefing
Everything about Asymptotically optimal algorithm
Measure of algorithm performance for large inputs
In computer science, an algorithm is said to be asymptotically optimal if, roughly speaking, for large inputs it performs at worst a constant factor worse than any possible algorithm. It is a term commonly encountered in computer science research as a result of widespread use of big O notation. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Asymptotically optimal algorithmA 5-minute orientation
- Skim a recent paper: Genetic RRT: Asymptotically Optimal Sampling-based Path Planning via Optimization of Genetic AlgorithmInfluential work since 2022
- Pick up a classic book: Introduction to Multiple Time Series AnalysisThe most-reprinted book on the subject
- Read the landmark paper: The sliding-window Lempel-Ziv algorithm is asymptotically optimalCited 92 times
- Go sideways: Computational complexityA closely related topic
- Go sideways: Time complexityA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The sliding-window Lempel-Ziv algorithm is asymptotically optimal
Asymptotically Optimal Estimation Algorithm for the Sparse Signal With Arbitrary Distributions
An Encoding Algorithm of Triply Extended Reed–Solomon Codes With Asymptotically Optimal Complexities
Combinational optimization problems for which almost every algorithm is asymptotically optimal
Belief Propagation: An Asymptotically Optimal Algorithm for the Random Assignment Problem
Asymptotically optimal dualization algorithms
An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures
🆕 Influential since 2022
Genetic RRT: Asymptotically Optimal Sampling-based Path Planning via Optimization of Genetic Algorithm
An asymptotically optimal algorithm for generating bin cardinalities
ASYMPTOTICALLY OPTIMAL ALGORITHM FOR PROCESSING SIDE RADIATION SIGNALS FROM MONITOR SCREENS ON LIQUID CRYSTAL STRUCTURES
An asymptotically optimal algorithm for online stacking
An asymptotically optimal public parking lot location algorithm based on intuitive reasoning
📚 Books worth reading
Introduction to Multiple Time Series AnalysisHelmut Lütkepohl, Helmut Lutkepohl · 1991
Computer algorithmsEllis Horowitz · 1997
Point-to-set maps and mathematical programmingP. Huard, A. Auslender · 1979
Fundamentals of data structures in CEllis Horowitz · 1993
Data structures, algorithms, and applications in C++Sartaj Sahni · 1998
Approximation and Online AlgorithmsThomas Erlebach · 2013
Empirical LikelihoodArt B. Owen · 2001
Data Structures and Algorithms in JavaMichael T. Goodrich, Roberto Tamassia · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Computational complexity In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus…
- Time complexity In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm…
- Comparison sort A comparison sort is a type of sorting algorithm that only reads the list elements through a single abstract comparison operation (often a "less than or…
- Quantum complexity theory Quantum complexity theory is the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational…
- Matrix multiplication algorithm Because matrix multiplication is such a central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms…
- Shellsort Shellsort, also known as Shell sort or Shell's method, is an in-place comparison sort. It can be understood as either a generalization of sorting by exchange…
- Asymptotic computational complexity In computational complexity theory, asymptotic computational complexity is the use of asymptotic analysis for the estimation of the computational complexity…
- Kirkpatrick–Seidel algorithm The Kirkpatrick–Seidel algorithm is an algorithm designed for computing the convex hull of a set of points in the plane, offering a time complexity of…