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Some historical perspective:Tom.G said:
How often will the number of elements being sorted be known at compile time?.Scott said:if you are sorting exactly 7 elements
I am writing assembly code at the moment because I demand time critical control of external signals while all interrupts are disabled, and exceptions impossible..Scott said:Coding at the Assembly level was once a common optimization practice.
Sometimes it is very, very stable. The number of hours in a day hasn't changed since the invention of computers. The number of states in the US has been stable for more than half a century. Even the number of schools in the Big Ten is constant on the time scale of compilimg.PeterDonis said:How often will the number of elements being sorted be known at compile time?
An easy example that answers your question, but not the general point:PeterDonis said:How often will the number of elements being sorted be known at compile time?
And sometimes it does.Vanadium 50 said:It does no good to spend an hour trying to speed up a sort by 30 minutes. It may not even make sense to hire a team of programmers to speed up a sort by 30 minutes compared to just getting a faster computer.
DeepMind AI is an artificial intelligence research company that was founded in 2010 and acquired by Google in 2014. They specialize in developing algorithms and systems that can learn and make decisions on their own.
Sorting algorithms are a set of instructions that are used to organize a set of data in a specific order, such as numerical or alphabetical. They are commonly used in computer science to optimize the efficiency of data processing.
DeepMind AI uses a combination of machine learning techniques and neural networks to develop efficient sorting algorithms. They train their AI systems on large datasets and allow them to learn and optimize their algorithms through trial and error.
Efficient sorting algorithms can greatly improve the speed and performance of data processing, which is essential in various industries such as finance, healthcare, and transportation. They can also reduce costs and improve the accuracy of results.
Efficient sorting algorithms can impact our daily lives in numerous ways, such as improving the speed and accuracy of online search results, optimizing traffic flow and transportation systems, and enhancing the efficiency of medical diagnoses and treatments.