- suboptimal algorithm
- алгоритм частичной оптимизации
The English-Russian dictionary on reliability and quality control. 2015.
suboptimal algorithm
Смотреть что такое "suboptimal algorithm" в других словарях:
Naïve algorithm — A naïve algorithm is typically a very simple solution to a problem, which represents the intuitive approach taken by one unfamiliar with the problem domain. It is meant to describe a suboptimal algorithm compared to a clever (but less simple)… … Wikipedia
Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… … Wikipedia
Schönhage-Strassen algorithm — The Schönhage Strassen algorithm is an asymptotically fast multiplication algorithm for large integers. It was developed by Arnold Schönhage and Volker Strassen in 1971. [A. Schönhage and V. Strassen, Schnelle Multiplikation großer Zahlen ,… … Wikipedia
Hirschberg's algorithm — Hirschberg s algorithm, named after its inventor, Dan Hirschberg, is a dynamic programming algorithm that finds the least cost sequence alignment between two strings, where cost is measured as Levenshtein edit distance, defined to be the sumof… … Wikipedia
Remez algorithm — The Remez algorithm (sometimes also called Remes algorithm, Remez/Remes exchange algorithm), published by Evgeny Yakovlevich Remez in 1934 [E. Ya. Remez, Sur la détermination des polynômes d approximation de degré donnée , Comm. Soc. Math.… … Wikipedia
Nucleic acid structure prediction — This article is about the computational prediction of nucleic acid structure. For experimental methods, see Nucleic acid structure determination. Nucleic acid structure prediction is a computational method to determine nucleic acid secondary and… … Wikipedia
Hazy Sighted Link State Routing Protocol — The Hazy Sighted Link State Routing Protocol (HSLS) is a wireless mesh network routing protocol being developed by the CUWiN Foundation. This is an algorithm allowing computers communicating via digital radio in a mesh network to forward messages … Wikipedia
Maximum parsimony — Maximum parsimony, often simply referred to as parsimony, is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under maximum parsimony, the preferred phylogenetic tree is the tree that… … Wikipedia
Maximum parsimony (phylogenetics) — Parsimony is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under parsimony, the preferred phylogenetic tree is the tree that requires the least evolutionary change to explain some… … Wikipedia
Travelling salesman problem — The travelling salesman problem (TSP) is an NP hard problem in combinatorial optimization studied in operations research and theoretical computer science. Given a list of cities and their pairwise distances, the task is to find a shortest… … Wikipedia
k-means clustering — In statistics and data mining, k means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results into a partitioning of… … Wikipedia
