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best complexity

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "best complexity" is correct and usable in written English.
It can be used when discussing the most favorable or optimal level of complexity in a given context, such as in mathematics, programming, or problem-solving. Example: "In our analysis, we found that the best complexity for the algorithm was O(n log n), which provided an efficient balance between speed and resource usage."

✓ Grammatically correct

Science

Computers & Operations Research

Algorithms for Molecular Biology

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

We propose such an algorithm, based on the well-known Bellman equation designed by Held and Karp to find optimal sequences and which offers the best complexity to solve the Traveling Salesman Problem known to this date.

This approach is an optimal and scalable parallelization of the well known two-list Horowitz and Sahni's algorithm, which is still the best complexity time bound for solving the Knapsack problem in a serial environment.

This implies that FMM has the best complexity of all known force solvers.

With τ = O ( r ), the best complexity of the primal-dual interior-point method for a linear optimization problem based on our new proximity function with p = log r and q = 1 is given by O ( r log r log r ϵ ).

For complexity reduction a set 12 restriction endonucleases (BanII, ApoI, AluI, BstI, HpaII, TaqI, MseI, StyI, SacI, RsaII, AclI and ApaI) were tested to determine the restriction endonuclease combination that provided the best complexity reduction.

However, we show in the rest of this proof that an instance of WMAST can be transformed into an instance of MAST in linear-time, which allows us to consider C as being the best complexity found for MAST, namely the O (n log (n ) ) running-time of the algorithm given in [ 30].

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

Based on the best complexity-performance trade-off, one variant of the VSSLMS algorithms is chosen for the proposed algorithm.

BITCP yielded the highest APFD results among the comparison algorithms, and it has the best complexity-percentage of fault detection correlation.

Based on this analysis, we discuss the choice of the parameters of the decoder with the best complexity-performance trade-off, such as the number of test patterns, the error-correcting capability of the binary decoder, and the number of quantization levels.

Contrary to the theoretical predictions, the versions with the best complexities, FIB and RAD, have the worst results on this type of instances.

LC-K-Best complexity is approximately 30% higher than that of the MMSE equalizer and 50% lower than that of I-VBLAST.

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Expert writing Tips

Best practice

When using "best complexity", ensure you clearly define what parameters determine "best" in your context. For example, it could refer to the most efficient use of resources, the fastest processing time, or the most accurate results.

Common error

Avoid using "best complexity" without specifying the criteria for evaluation. What is considered "best" may vary depending on the application, so define your metrics to prevent ambiguity.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

76%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "best complexity" functions as a noun phrase where the adjective "best" modifies the noun "complexity". It is generally used in technical contexts to denote the most efficient or desirable level of complexity for a given application. Ludwig AI confirms that this phrase appears in academic and scientific literature.

Expression frequency: Uncommon

Frequent in

Science

75%

Formal & Business

15%

News & Media

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "best complexity" refers to the optimal level of complexity in a system, algorithm, or process, as determined by specific criteria like efficiency and resource utilization. As Ludwig AI indicates, the phrase is grammatically correct and most commonly found in scientific and technical contexts. Alternatives such as "optimal complexity" or "ideal complexity" can be used to convey similar meanings. When employing this phrase, it's crucial to define the specific metrics used to evaluate "best" to avoid ambiguity and ensure clarity in communication.

FAQs

How can I use "best complexity" in a sentence?

You can use "best complexity" to describe the optimal balance of efficiency and detail in a system or algorithm. For example, "The algorithm achieves the "best complexity" by reducing unnecessary calculations".

What is a good alternative to "best complexity"?

Alternatives include "optimal complexity", "ideal complexity", or "most efficient complexity", depending on the specific nuance you want to convey.

What does "best complexity" mean in computer science?

In computer science, "best complexity" typically refers to the algorithm or data structure that provides the most efficient use of resources (time and memory) for a given task. It is also related with the best time and space complexity.

Is "best complexity" a subjective term?

Yes, "best complexity" can be subjective because it depends on the specific priorities and constraints of a project or problem. What is considered "best" depends on the trade-offs between different factors.

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Most frequent sentences: