prohibitive complexity

USAGE SUMMARY

The phrase "prohibitive complexity" is correct and usable in written English.
It can be used to describe a situation or problem that is too complicated or difficult to manage or overcome. Example: "The project's prohibitive complexity led the team to reconsider their approach and seek simpler solutions."

✓ Grammatically correct

Science

Technology

Engineering

Human-verified examples from authoritative sources

Exact Expressions

14 human-written examples

This has prohibitive complexity, except for simple space-time codes.

EURASIP Journal on Wireless Communications and Networking

A maximum likelihood receiver for the concatenated STECC has a prohibitive complexity, and cannot be implemented in practice.

EURASIP Journal on Wireless Communications and Networking

A basis expansion-based suboptimal algorithm is developed to reduce the prohibitive complexity of the optimal solution.

EURASIP Journal on Advances in Signal Processing

In system-level simulations, the PHY layer, including all signal processing, cannot be explicitly simulated due to prohibitive complexity.

EURASIP Journal on Wireless Communications and Networking

As we mention in [1], the mixed raster content (MRC) model [40] could be used to improve our text-vs-nontext classifier as the expense of prohibitive complexity.

EURASIP Journal on Image and Video Processing

This implementation also verifies that the proposed algorithms can be executed for a large number of users, compared to the prohibitive complexity of listing the entire state space.

EURASIP Journal on Advances in Signal Processing

Human-verified similar examples from authoritative sources

Similar Expressions

46 human-written examples

Nonetheless, these strategies suffer from a prohibitive computational complexity, especially in 2D scenarios.

EURASIP Journal on Advances in Signal Processing

However, such techniques are not feasible for practical systems due to prohibitive computational complexity.

EURASIP Journal on Wireless Communications and Networking

Applying model predictive control to high-dimensional systems typically leads to a prohibitive computational complexity.

Journal of Process Control

However, when M c and/or N are too large, this task becomes intractable due to prohibitive computational complexity.

EURASIP Journal on Wireless Communications and Networking

The novel UE grouping strategies are presented to improve the performance of the system without a prohibitive computational complexity.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing algorithms or models, specify the factor (e.g., number of users, channel length) that makes the "prohibitive complexity" a significant issue. This provides context and clarifies the limitations of the approach.

Common error

Avoid using "prohibitive complexity" as a vague criticism. Instead, quantify the complexity increase (e.g., "exponential complexity") or specify its impact (e.g., "prohibitive memory requirements") to make your critique more precise.

Linguistic Context

The phrase "prohibitive complexity" functions as a descriptive term, typically modifying a noun (often algorithm, model, or system) to indicate that its complexity renders it impractical or impossible to implement. As Ludwig AI illustrates, the term often appears in scientific and technical contexts.

Expression frequency: Common

Frequent in

Science

75%

News & Media

13%

Formal & Business

12%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "prohibitive complexity" effectively conveys that the complexity of a system, algorithm, or model is so high as to make it impractical or impossible to implement. As Ludwig AI confirms, the term is grammatically correct and widely used, particularly in scientific and technical fields. When using this phrase, it is important to specify what factors contribute to the complexity and what the concrete implications of this complexity are.

Alternatives such as "unmanageable complexity" or "excessive computational cost" can be used depending on the specific context. While the term is relatively frequent in academic and scientific literature, as well as some news outlets, being aware of its specific meaning and usage helps to communicate technical limitations clearly.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unmanageable complexity

Emphasizes the difficulty in managing the complexity.

excessive computational cost

Highlights the high cost associated with the computational aspect.

impractical level of complication

Focuses on the impracticality arising from the level of complication.

untenable intricacy

Suggests that the intricacy makes the situation unsustainable.

unachievable sophistication

Points out that the level of sophistication is not realistically achievable.

intractable problem

Highlights the problem cannot be easily solved.

insurmountable difficulty

Emphasizes the challenge that cannot be overcome

overwhelming intricacy

Suggests that the level of intricacy makes the situation overwhelming.

unfeasible intricacy

Highlights how the intricacy makes it unfeasible.

astronomical computational demands

Emphasizes the very large computational demands.

FAQs

How can I rephrase "prohibitive complexity" in simpler terms?

You can use alternatives such as "unmanageable complexity", "excessive computational cost", or "impractical level of complication" depending on the specific context.

When is it appropriate to use the term "prohibitive complexity"?

Use "prohibitive complexity" when describing a situation where the complexity of a task, algorithm, or system makes it impractical or impossible to implement or use effectively.

What is the difference between "high complexity" and "prohibitive complexity"?

"High complexity" simply indicates a significant level of complication, while "prohibitive complexity" suggests that the complexity is so great that it prevents practical application or implementation.

How does "prohibitive complexity" affect algorithm design?

When an algorithm has "prohibitive complexity", it means the computational resources (time, memory) required grow too rapidly with the input size, making the algorithm unusable for real-world problems. This often leads to the development of approximate or heuristic algorithms.