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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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algorithm execution

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "algorithm execution" is correct and usable in written English.
It can be used in contexts related to computer science, programming, or data processing when discussing the process of running an algorithm. Example: "The algorithm execution took longer than expected due to the large dataset."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Figure 15 Proposed algorithm execution time trend with respect to the input image size.

The source code is translated (compiled) into machine language, which makes algorithm execution more efficient because the code is executed directly by the processor.

In these is a very sophisticated formalism in which the sense or intension of an expression is an algorithm, and algorithm execution determines denotation.

Science

SEP

The more parallel processing was executed, the less time was taken for algorithm execution.

Memory monitoring began before each algorithm was executed to establish a baseline, and the maximum memory consumption during algorithm execution was measured relative to this baseline.

As the number of affected plots can be large, the algorithm execution time is potentially high.

The primary motivation behind adopting this approach is to reduce the algorithm execution time.

A theoretical model of the algorithm execution time is used to evaluate the precision of the system-level simulator.

The performance of the algorithms is examined with respect to memory space usage, linearization accuracy and algorithm execution time.

The visualization and animation system may be used to explore and understand the relationship among mesh elements and algorithm execution.

The features such as specialized instructions and fast memory structures can reduce power consumption significantly by lessening overall algorithm execution time.

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Expert writing Tips

Best practice

When discussing performance, specify which aspects you are measuring, such as "algorithm execution time", "memory usage", or "power consumption".

Common error

Avoid using "algorithm execution" when you actually mean "algorithm design" or "algorithm development". "Execution" refers specifically to the running of an already-developed algorithm.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

73%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "algorithm execution" functions as a noun phrase, typically used as the subject or object of a sentence. Ludwig AI confirms that is grammatically correct. It commonly refers to the process of running or performing an algorithm.

Expression frequency: Very common

Frequent in

Science

90%

Formal & Business

5%

News & Media

3%

Less common in

Encyclopedias

1%

Wiki

0.5%

Reference

0.5%

Ludwig's WRAP-UP

The phrase "algorithm execution" is a grammatically sound and frequently used term, especially in scientific and technical contexts, as pointed out by Ludwig AI. It describes the process of running an algorithm. Key aspects related to this phrase include measuring its performance through metrics like execution time and memory usage, as well as understanding the difference between execution and implementation. Related phrases like "running the algorithm" or "executing the algorithm" can often be used interchangeably, providing alternative ways to express the same concept. Understanding the nuances of "algorithm execution" is crucial for anyone involved in computer science, data processing, or related fields.

FAQs

How can I measure the performance of an "algorithm execution"?

Performance can be measured by factors such as "execution time", memory usage, computational cost, and accuracy of results. The specific metrics will depend on the application.

What is the difference between "algorithm execution" and "algorithm implementation"?

"Algorithm execution" refers to the process of running an algorithm. "Algorithm implementation" refers to the process of translating an algorithm into a specific programming language or system.

What factors can affect the "algorithm execution" time?

Factors include the complexity of the algorithm, the size of the input data, the hardware being used, and the efficiency of the code. Parallel processing can reduce "execution times".

Is "algorithm execution" the same as "running the algorithm"?

Yes, "algorithm execution" and "running the algorithm" are essentially synonymous and can be used interchangeably in most contexts.

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Real-world application tested

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