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Justyna Jupowicz-Kozak

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optimization point

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "optimization point" is correct and usable in written English.
It can be used in contexts related to mathematics, engineering, or any field where optimization is discussed, referring to a specific point at which a function or process is optimized. Example: "To achieve the best results, we need to identify the optimization point for our algorithm."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

32 human-written examples

This can be addressed from an optimization point of view.

The gradient-based algorithm is developed from an optimization point of view.

Several simulations were performed to observe the spacecraft orbital behaviour by different kind of perturbations and constraints, on a fuel consumption optimization point of view.

From the geometric optimization point of view, both size and position of windows in buildings are important parameters to obtain a uniform indoor air velocity distribution.

However, these models typically adopt a global optimization point of view, which may not be attainable since they do not consider the actual decision-making process after a disaster occurs.

Effect of fin thicknesses ratio, convection coefficient power index (m), profile power parameter (n), base thickness and fin material are evaluated in the fin optimization point for heat transfer rate, effectiveness and efficiency.

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Human-verified similar examples from authoritative sources

Similar Expressions

28 human-written examples

Arising in diverse application fields, packing with fragmentation has been investigated in the literature from both theoretical, modeling, approximation and exact optimization points of view.

The latter search method makes the function value decrease faster in the direction of attachment between adjacent two optimization points.

For all the optimization points of views studied, the insulation thickness depends in a large way on the unitary costs associated to the fabrication of the materials.

For the three optimization points of views and the three calculation settings represented, the optimum thicknesses decrease when the unitary costs increase.

Also, for all the optimization points of views, the difference between the optimum thicknesses obtained in the three calculation settings reduces as the unitary costs grow.

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Expert writing Tips

Best practice

When discussing optimization, clearly define what parameters are being optimized and the context in which the "optimization point" is relevant. This ensures clarity and avoids ambiguity.

Common error

Avoid treating the "optimization point" as a fixed, universally applicable solution. Recognize that optimal settings often vary depending on specific conditions and constraints.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "optimization point" functions as a noun phrase, typically serving as a subject or object within a sentence. It identifies a specific state, parameter setting, or stage in a process where optimal performance or desired outcome is achieved. Ludwig AI's examples highlight this usage across various scientific domains.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "optimization point" is grammatically correct and commonly used, particularly in scientific and technical fields. As Ludwig AI indicates, it denotes a specific state or parameter setting where optimal performance is achieved. The phrase's function is to specify this critical juncture, focusing attention on the conditions yielding the best result. Its register is formal and scientific, making it suitable for professional communication. While alternatives exist, such as "optimal point" or "optimization stage", the key is to maintain clarity regarding what is being optimized and the relevant context.

FAQs

How is the phrase "optimization point" typically used in scientific writing?

In scientific writing, "optimization point" often refers to a specific stage or parameter setting where a process or model achieves its best performance or desired outcome. It's crucial to specify what aspect is being optimized, as Ludwig AI's examples show.

What are some alternatives to "optimization point" that I can use in my writing?

Depending on the context, you can use alternatives such as "optimal point", "point of optimization", or "optimization stage". The choice depends on whether you want to emphasize the result, the process, or a phase within it.

Is "optimization point" the same as "optimal solution"?

While related, "optimization point" more specifically refers to the state or parameter setting at which an optimal solution is achieved. "Optimal solution" refers to the best outcome itself, while "optimization point" is the specific setting that yields that outcome.

Can the "optimization point" change depending on the context or constraints?

Yes, the "optimization point" can indeed change based on different contexts, constraints, or objectives. What is optimal in one situation may not be in another, as factors such as cost, time, or environmental impact can influence the desired outcome.

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Most frequent sentences: