computer-science

问题 I find it hard to understand the differences between the local and global miss rate and how to calculate the average time for a memory access and would just like to give an example of a problem that I have tried to solve. I would appreciate if someone could tell me if I'm on the right track, or if I'm wrong what I have missed. Consider the following multilevel cache hierarchy with their seek times and miss rates: L1-cache, 0.5 ns, 20% L2-cache, 1.8 ns, 5% L3-cache, 4.2 ns, 1.5% Main memory,

问题 I found this recently: https://github.com/xoreaxeaxeax/movfuscator It seems to be contingent on the fact that mov is turing-complete. Is that true, and why? 回答1: Yes, x86's mov is Turing complete. I added that tag to your question because it may not be true for other ISAs with an instruction called mov , and the movfuscator compiler only targets x86. It's not "mov" itself doing computation , it's x86 addressing modes which can do addition (and bit-shift). I haven't looked in detail at how it

问题 I found this recently: https://github.com/xoreaxeaxeax/movfuscator It seems to be contingent on the fact that mov is turing-complete. Is that true, and why? 回答1: Yes, x86's mov is Turing complete. I added that tag to your question because it may not be true for other ISAs with an instruction called mov , and the movfuscator compiler only targets x86. It's not "mov" itself doing computation , it's x86 addressing modes which can do addition (and bit-shift). I haven't looked in detail at how it

问题 This question already has answers here : Float and double datatype in Java (9 answers) Is floating point math broken? (31 answers) Closed 12 months ago . System.out.println(0.1F + 0.2F); // 0.3 System.out.println(0.1D + 0.2D); // 0.30000000000000004 I understood 0.1D + 0.2D ~= 0.30000000000000004. But I guessed these result are same, but it is not. Why result are different? 回答1: Why are the results different? In a general sense: Because the binary representations for float and double are

问题 This question already has answers here : Float and double datatype in Java (9 answers) Is floating point math broken? (31 answers) Closed 12 months ago . System.out.println(0.1F + 0.2F); // 0.3 System.out.println(0.1D + 0.2D); // 0.30000000000000004 I understood 0.1D + 0.2D ~= 0.30000000000000004. But I guessed these result are same, but it is not. Why result are different? 回答1: Why are the results different? In a general sense: Because the binary representations for float and double are

问题 This question already has answers here : Float and double datatype in Java (9 answers) Is floating point math broken? (31 answers) Closed 12 months ago . System.out.println(0.1F + 0.2F); // 0.3 System.out.println(0.1D + 0.2D); // 0.30000000000000004 I understood 0.1D + 0.2D ~= 0.30000000000000004. But I guessed these result are same, but it is not. Why result are different? 回答1: Why are the results different? In a general sense: Because the binary representations for float and double are

问题 I'm trying to write a program that sorts integer elements of an array, using a Binary Search Tree(BST) as support data structure. The idea is that once the array is given, then it is possible to use a BST to sort his element; for example: if my array is: {120, 30, 115, 40, 50, 100, 70} then I build a BST like this: Once I have this BST, I can do an inorder tree traversal to touch every node in order, from the lowest to the highest element and modify the array. The result would be a sorted

问题 I'm trying to write a program that sorts integer elements of an array, using a Binary Search Tree(BST) as support data structure. The idea is that once the array is given, then it is possible to use a BST to sort his element; for example: if my array is: {120, 30, 115, 40, 50, 100, 70} then I build a BST like this: Once I have this BST, I can do an inorder tree traversal to touch every node in order, from the lowest to the highest element and modify the array. The result would be a sorted

问题 I've embarked on a project that is proving considerably more complicated than I'd first imagined. I'm trying to plan a system that is based around boolean (true/false) questions and answers. Users on the system can answer any questions from a large set of boolean (true/false) questions and be presented with a list showing the most similar users (in order of similarity) based on their answers. I've Googled far and wide but still not come up with much, so I was hoping somebody could point me in

问题 I've embarked on a project that is proving considerably more complicated than I'd first imagined. I'm trying to plan a system that is based around boolean (true/false) questions and answers. Users on the system can answer any questions from a large set of boolean (true/false) questions and be presented with a list showing the most similar users (in order of similarity) based on their answers. I've Googled far and wide but still not come up with much, so I was hoping somebody could point me in