Used and loved by millions
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
bipartite matching
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "bipartite matching" is correct and usable in written English. You can use it in contexts related to graph theory, computer science, and optimization problems. For example, "The algorithm efficiently finds a bipartite matching in the given graph." Alternative expressions include "two-sided matching" and "pairing in bipartite graphs."
✓ Grammatically correct
Science
Academia
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
We demonstrate the close connection between the two problems by presenting a log space reduction from perfect bipartite matching to subtree isomorphism.
Figure 2 Weighted bipartite matching.
Figure 5 Asymmetric bipartite matching with resource reallocation.
Constraint (i) ensures the data chunk assignment as a bipartite matching.
We then compute the maximum weight bipartite matching.
Science
Values of similarity between conditions are used to compute the 1 1 maximum weight bipartite matching.
AnnSim is defined as a 1 1 maximum weight bipartite matching.
On the basis of this graph, we can compute a straightforward maximum-edge-weighted bipartite matching.
First of all, we introduce the concept of bipartite graph and maximum weight bipartite matching.
For every object of the type AlgebraicRule, a new AssignmentRule object is generated by means of the preceding bipartite matching.
Science
Similarly to previous tree alignment and edit distance algorithms [ 26- 28], the algorithm presented here makes use of min-cost bipartite matching algorithms as subroutines.
Expert writing Tips
Best practice
When discussing "bipartite matching", clearly define the two distinct sets being matched to avoid ambiguity. For instance, specify whether you're matching workers to tasks or customers to services.
Common error
Avoid using "bipartite matching" interchangeably with general graph matching. Bipartite matching specifically applies to graphs where nodes can be divided into two disjoint sets, and edges only connect nodes from different sets.
Source & Trust
86%
Authority and reliability
4.6/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "bipartite matching" functions as a noun phrase, typically used to describe a specific type of matching problem within graph theory and computer science. As Ludwig AI confirms, it's widely recognized and used in various academic and scientific contexts.
Frequent in
Science
68%
Academia
30%
Formal & Business
1%
Less common in
News & Media
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "bipartite matching" is a grammatically sound noun phrase primarily used within scientific and academic domains. Ludwig AI analysis indicates its purpose is to define and categorize problems, with a strong prevalence in science-related contexts. The phrase maintains a formal register, and while very common in specific fields, it is less so in general or informal communication. When employing this term, clarity in defining the sets being matched is crucial to avoid ambiguity.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
two-sided matching
Emphasizes the two distinct sets being matched, similar to bipartite structure.
stable matching
Focuses on the stability of the pairings, a common goal in matching problems.
assignment problem
Highlights the assignment of elements from one set to another.
maximum cardinality matching
Specifies the goal of maximizing the number of matched pairs.
perfect matching
Indicates a complete matching where all elements are paired.
graph matching
Broadly refers to matching problems in graphs, including bipartite graphs.
edge cover
Related concept in graph theory where edges 'cover' vertices.
maximum weight matching
Focuses on maximizing the total weight of the matched edges.
optimal assignment
Highlights the optimality of the matching or assignment.
combinatorial optimization
Broader term for finding the best solution from a finite set of possibilities, including matching problems.
FAQs
How is "bipartite matching" used in computer science?
"Bipartite matching" is a fundamental concept used in various algorithms and optimization problems, such as resource allocation, scheduling, and network flow. It involves finding the maximum number of independent edges in a bipartite graph.
What are some practical applications of "bipartite matching"?
Practical applications include assigning jobs to workers, matching organ donors to recipients, and routing data packets in networks. It is also used in image processing and data mining tasks.
What is the difference between "bipartite matching" and "maximum flow"?
"Bipartite matching" is often solved using maximum flow algorithms, but they are not the same. Bipartite matching is a specific type of problem, while maximum flow is a general algorithm that can be applied to various network problems, including bipartite matching.
What algorithms are commonly used to solve "bipartite matching" problems?
Common algorithms include the Hungarian algorithm, Ford-Fulkerson algorithm, and Hopcroft-Karp algorithm. The choice of algorithm depends on the size and structure of the bipartite graph.
Editing plus AI, all in one place.
Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
86%
Authority and reliability
4.6/5
Expert rating
Real-world application tested