more computational effort

USAGE SUMMARY

"more computational effort" is a correct and usable phrase in written English.
It refers to the amount of time, energy, or resources required to complete a task using a computer or technology. Example: "The new algorithm requires significantly more computational effort, but it yields more accurate results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

30 human-written examples

Since the NADP is performed in a non-adaptive framework, it does not require more computational effort and time cost.

Engineering Structures

The latter alternative, although it requires more computational effort, is also recommended for a subsequent kinetic analysis.

Chemical Engineering Science

For scalar equations, our generalized method requires only slightly more computational effort than the original Petviashvili method.

Journal of Computational Physics

In the finite element method, it is possible to improve or refine the approximate solution by spending more computational effort.

The Finite Element Method in Engineering

More complex quaternary structures such as obligate hetero-trimers further increase the complexity of the docking steps, requiring more computational effort and more models.

Nature

We also show that use of a certain acceleration procedure enables problems in irregular domains to be solved with only slightly more computational effort than in regular domains.

Journal of Computational Physics

Human-verified similar examples from authoritative sources

Similar Expressions

30 human-written examples

In fire analysis of steel structures, the plastic zone method is widely used, but it requires extensively more computational efforts.

Journal of Constructional Steel Research

As a complex methodology, it requires more computational efforts in assessing composite priorities than the traditional AHP.

Environmental Systems Research

This model and its extensions [10] [13] might thus be considered as the state of the art Bayesian approach to identify SNPs under selection although it requires far more computational efforts than for models considered in the present study (see Discussion).

Plosone

We presented arguments for the view that this threshold point may be associated with the phase transition, but the supposition needs more concentrated computational effort and theoretical understanding.

EURASIP Journal on Wireless Communications and Networking

We conclude our review by discussing the need for more computational and theoretical efforts focused on shear-induced structure in polymer blends.

Polymer

Expert writing Tips

Best practice

When describing the performance of algorithms, quantify "more computational effort" with specific metrics like time complexity (Big O notation) or memory usage to provide a clearer understanding of the resource demands.

Common error

Avoid assuming that "more computational effort" automatically translates to better results. Always consider the trade-offs between increased effort and the potential gains in accuracy or efficiency. Sometimes, a simpler approach may be more effective overall.

Linguistic Context

The phrase "more computational effort" functions as a noun phrase, typically used as an object or complement in a sentence. It describes the extent of computing resources and time needed for a particular task. Ludwig AI confirms its correct usage in various scientific and engineering contexts.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "more computational effort" is a grammatically sound and frequently used phrase, as confirmed by Ludwig AI. It functions as a noun phrase, primarily within scientific and technical contexts, to denote a greater demand for computing resources. While it can imply increased costs, it's often justified by improvements in accuracy or capability. When using this phrase, consider quantifying the effort with specific metrics and avoid assuming it always leads to better outcomes. Alternatives such as "increased computational resources" or "higher computational load" may be suitable depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

increased computational intensity

Highlights the high degree of computation needed.

more intensive calculations

Emphasizes the demanding nature of the calculations.

more extensive computation

Emphasizes the scope of the computational task.

enhanced computational demand

Focuses on the heightened need for processing.

higher computational load

Highlights the burden placed on the system.

increased computational overhead

Highlights the additional resources required for supporting computation.

increased computational resources

Emphasizes the quantity of resources required.

additional processing time

Focuses on the time aspect of computation.

greater processing power

Focuses on the hardware capability needed.

greater algorithmic complexity

Refers to the intricacy of the algorithms used.

FAQs

How can I use "more computational effort" in a sentence?

You can use "more computational effort" to describe situations where a task or process requires greater processing power, time, or resources. For example: "The new simulation method requires "more computational effort", but it produces more accurate results."

What's a good alternative to "more computational effort"?

Depending on the context, you can use phrases like "increased computational resources", "higher computational load", or "greater processing power" as alternatives to "more computational effort".

Is "more computational effort" always a negative thing?

Not necessarily. While "more computational effort" often implies increased costs or time, it can be justified if it leads to significant improvements in accuracy, efficiency, or the ability to solve previously intractable problems. It's crucial to consider the cost-benefit ratio.

What factors contribute to "more computational effort"?

Factors that can contribute to "more computational effort" include algorithm complexity, data size, the need for higher precision, and the use of computationally intensive techniques like machine learning or simulations. Optimizing these factors can help reduce the overall effort required.