What are the important elements of C++ applications?

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When different types of data are mixed in C++ applications, the C++ compiler converts types automatically. In order to avoid type problems in operations for different data types, you should try to use the same type of data instead of special instructions that improve application performance.

Is it really true that the performance of C++ applications must be poor? No. In fact, the algorithm used in this problem is very efficient. The above 0.001 seconds and 0.062 seconds have been the shortest time for the Cmax Clipper + program and the C# program to run on the Timus Online Judge website, respectively. After all, C # is a managed application, and JIT compilation is required for * times to run in the CLR environment. The minimum basic overhead is larger than that of the Cmax Cleavage + application.

Next, let's take a look at Timus 1219. Symbolic Sequence:

This problem requires the output of one million lowercase Latin letters that meet the given conditions. Using the same algorithm, C++ applications are 15 times slower than C # programs and 64 times slower than C programs.

This time, it can not be explained by the minimum basic overhead, because the running time of these programs is not very short. However, this problem is something special, and its time is mainly spent on outputting a large number of (1 million) characters. The C # program called the Console.Write () method a million times, and the C++ program called std::cout a million times.