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256, so you can define a flag array flag[256], which is used to record the number of occurrences of each character. Set a variable min to indicate the current occurrence of the minimum number of characters, Min can be initialized to Slen (string length, because a character can occur up to slen times), and then if there are fewer times, then min update to

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how services work2) Proficient in the system work principle (to this step already very few people can do, can filter out 80%)3) familiar with various distributions, RedHat Department (Fedora, CentOS), Debian (Ubuntu), Gentoo (Lfs,arch)4) Skilled script development, Perl,python,shell (three-choice two, or all), automation technology. ---The first gradient ends----1) The management thinking mode of the cluster can be cooperated by Puppet, script and other similar tools. 2) Extreme optimization of

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As a veteran of technical training, I have been in online technical training for some time. Share some of my insights on online technology training here for a while.Free or chargedTo do

In machine learning, the gradient descent (Gradient descent, GD) algorithm only needs to calculate the first derivative of the loss function, the calculation cost is small, it is very suitable for the training data very large application.The physical meaning of the gradient descent method is well understood, that is, the line is searched along the gradient direction of the current point, and the next iteration point is found. But, why does it derive t

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