random complexity

USAGE SUMMARY

The phrase "random complexity" is correct and usable in written English.
It can be used in contexts discussing unpredictability or variability in complex systems, such as in mathematics, computer science, or philosophy. Example: "The algorithm's performance was affected by the random complexity of the input data, leading to unpredictable outcomes."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Table 2 Computational complexity Scheme ES GA PL-MaxSINR PL-Random Complexity ( mathcal{O}left(K{N}^{K{N}_a}{M}^{K{N}_s}{N}_a{N}_sright) ) ( mathcal{O}left(K{N}_g{N}_p{N}_a{N}_sright) ) ( mathcal{O}left(K{M}^{N_s}+K{N}_a{N}_sright) ) ( mathcal{O}left(K{N}_a{N}_sright) ) Moreover, we can achieve lower complexity by further improving the proposed GA algorithm.

EURASIP Journal on Wireless Communications and Networking

Dawkins shares the view generally held by scientists that natural selection is sufficient to explain the apparent functionality and non-random complexity of the biological world, and can be said to play the role of watchmaker in nature, albeit as an automatic, nonintelligent, blind watchmaker.

Wikipedia

By picking proteins with replacement from the distribution of proteins in Figure 2A, we generated random complexes and plotted the complexity of the complexes in terms of the number of unique subunits against the mean length of these subunits.

BMC Genomics

For example, when random complexes were generated from entire sets of annotated complexes, p-values associated with plots between mean dN/dS values and complex complexity for these random complexes were always above 0.003; so we set this value as a threshold of significance for such trends.

BMC Genomics

There are many reconstruction algorithms that can be used depending on the sparsity pattern, uniform or random sampling, complexity issues, and sensitivity to quantization and additive noise [53, 54].

EURASIP Journal on Advances in Signal Processing

Despite its low implementation complexity, random projection clearly is not the best feature selection tool in terms of performance.

EURASIP Journal on Advances in Signal Processing

Therefore, a coding algorithm that has properties similar to those of PCM (low complexity, random access, and scalability) but with a better coding efficiency would be of interest.

EURASIP Journal on Advances in Signal Processing

Here, we describe plasmid vectors that facilitate the construction of high-complexity random sequence peptide libraries on MS2 VLPs and that allow control of the stringency of affinity selection through the manipulation of display valency.

Journal of Molecular Biology

In this paper, we studied the ergodic capacity of dual-cell MISO broadcast channels with low-complexity random beamforming.

EURASIP Journal on Wireless Communications and Networking

Furthermore, the performance of low-complexity random beamforming transmission with user scheduling in the same scenarios is analyzed in[19].

EURASIP Journal on Wireless Communications and Networking

For these network topologies, we showed that it is not necessary to perform the high-complexity random linear network coding in order to approach the max-flow capacity.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

When using "random complexity", ensure the context clearly indicates whether you're referring to unpredictability in a system's structure or its behavior. Clarity is key.

Common error

Avoid assuming "random complexity" implies complete disorder. It often refers to systems where complexity arises from unpredictable interactions, not necessarily a total lack of structure.

Linguistic Context

The phrase "random complexity" functions as a noun phrase where the adjective "random" modifies the noun "complexity". It describes a type of complexity characterized by unpredictability or a lack of discernible pattern. Ludwig AI confirms its usability in written English.

Expression frequency: Missing

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "random complexity" is a grammatically correct term used to describe systems exhibiting both complexity and unpredictability. Ludwig AI affirms its proper usage. Predominantly found in scientific contexts, it characterizes scenarios where intricate behaviors arise from seemingly random interactions. While there are few examples, the analysis suggests focusing on clarity when employing this phrase, distinguishing it from complete disorder and highlighting the interplay between complexity and randomness. Consider alternatives such as "stochastic complexity" or "unpredictable complexity" for nuanced expression.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

stochastic complexity

Replaces "random" with "stochastic", emphasizing the probabilistic nature of the complexity.

unpredictable complexity

Focuses on the inability to foresee the complex behavior or structure.

erratic intricacy

Highlights the irregular and detailed nature of the complexity.

unpatterned complication

Emphasizes the lack of a discernible pattern in the complexity.

arbitrary intricacy

Highlights the unsystematic and detailed nature of the complexity.

chance-based complexity

Specifies the element of chance as the origin of the complexity.

haphazard complexity

Underlines the disorganized or chaotic nature of the complexity.

fortuitous complexity

Emphasizes that the complexity occurred by accident or chance.

variable intricacy

Focuses on the changing or fluctuating nature of the complexity.

sporadic intricacy

Highlights that complexity occurs irregularly.

FAQs

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

You might say, "The algorithm's performance was affected by the "random complexity" of the input data" or "The model struggles to predict outcomes due to the "random complexity" of the market."

What are some alternatives to "random complexity"?

Consider using "unpredictable complexity", "stochastic complexity", or "erratic intricacy" depending on the specific nuance you want to convey.

Is "random complexity" the same as "algorithmic complexity"?

No, "random complexity" refers to the unpredictable nature of a complex system or data, while "algorithmic complexity" describes the resources required by an algorithm.

In what fields is "random complexity" commonly used?

"Random complexity" is often used in fields like computer science, mathematics, physics, and biology to describe systems with unpredictable and intricate behaviors.