greedy

C++ regex for overlapping matches

我的未来我决定 提交于 2019-11-28 01:23:28
I have a string 'CCCC' and I want to match 'CCC' in it, with overlap. My code: ... std::string input_seq = "CCCC"; std::regex re("CCC"); std::sregex_iterator next(input_seq.begin(), input_seq.end(), re); std::sregex_iterator end; while (next != end) { std::smatch match = *next; std::cout << match.str() << "\t" << "\t" << match.position() << "\t" << "\n"; next++; } ... However this only returns CCC 0 and skips the CCC 1 solution, which is needed for me. I read about non-greedy '?' matching, but I could not make it work Your regex can be put into the capturing parentheses that can be wrapped

Why does the greedy coin change algorithm not work for some coin sets?

北慕城南 提交于 2019-11-27 17:26:27
I understand how the greedy algorithm for the coin change problem (pay a specific amount with the minimal possible number of coins) works - it always selects the coin with the largest denomination not exceeding the remaining sum - and that it always finds the correct solution for specific coin sets. But for some coin sets, there are sums for which the greedy algorithm fails. For example, for the set {1, 15, 25} and the sum 30, the greedy algorithm first chooses 25, leaving a remainder of 5, and then five 1s for a total of six coins. But the solution with the minimal number of coins is to

How to find maximum spanning tree?

China☆狼群 提交于 2019-11-27 17:09:59
Does the opposite of Kruskal's algorithm for minimum spanning tree work for it? I mean, choosing the max weight (edge) every step? Any other idea to find maximum spanning tree? systemkern Yes, it does. One method for computing the maximum weight spanning tree of a network G – due to Kruskal – can be summarized as follows. Sort the edges of G into decreasing order by weight. Let T be the set of edges comprising the maximum weight spanning tree. Set T = ∅. Add the first edge to T. Add the next edge to T if and only if it does not form a cycle in T. If there are no remaining edges exit and report

How is dynamic programming different from greedy algorithms?

你。 提交于 2019-11-27 09:35:01
问题 In the book I am using Introduction to the Design & Analysis of Algorithms, dynamic programming is said to focus on the Principle of Optimality , "An optimal solution to any instance of an optimization problem is composed of optimal solutions to its subinstances". Whereas, the greedy technique focuses on expanding partially constructed solutions until you arrive at a solution for a complete problem. It is then said, it must be "the best local choice among all feasible choices available on

What is the difference between dynamic programming and greedy approach?

谁说我不能喝 提交于 2019-11-27 09:08:20
问题 What is the main difference between dynamic programming and greedy approach in terms of usage? As far as I understood, the greedy approach sometimes gives an optimal solution; in other cases, the dynamic programming approach gives an optimal solution. Are there any particular conditions which must be met in order to use one approach (or the other) to obtain an optimal solution? 回答1: Based on Wikipedia's articles. Greedy Approach A greedy algorithm is an algorithm that follows the problem

Dynamic Programming - making change

对着背影说爱祢 提交于 2019-11-27 06:54:58
问题 I'm having trouble figuring out my last section of code for a Dynamic Coin Changing Problem. I have included the code below. I can't figure out the last else . Should I just use the greedy algorithm at that point or can I calculate the answer from values already in the table? I've worked hard on trying to understand this problem and I think I'm pretty close. The method finds the minimum amount of coins needed to make a certain amout of change by creating a table and using the results that are

C++ regex for overlapping matches

雨燕双飞 提交于 2019-11-26 21:54:44
问题 I have a string 'CCCC' and I want to match 'CCC' in it, with overlap. My code: ... std::string input_seq = "CCCC"; std::regex re("CCC"); std::sregex_iterator next(input_seq.begin(), input_seq.end(), re); std::sregex_iterator end; while (next != end) { std::smatch match = *next; std::cout << match.str() << "\t" << "\t" << match.position() << "\t" << "\n"; next++; } ... However this only returns CCC 0 and skips the CCC 1 solution, which is needed for me. I read about non-greedy '?' matching,

How to find maximum spanning tree?

落花浮王杯 提交于 2019-11-26 18:53:36
问题 Does the opposite of Kruskal's algorithm for minimum spanning tree work for it? I mean, choosing the max weight (edge) every step? Any other idea to find maximum spanning tree? 回答1: Yes, it does. One method for computing the maximum weight spanning tree of a network G – due to Kruskal – can be summarized as follows. Sort the edges of G into decreasing order by weight. Let T be the set of edges comprising the maximum weight spanning tree. Set T = ∅. Add the first edge to T. Add the next edge