algorithm

问题 I have a set of numbers eg. [100,90,80,70,60,50] and want to find all combinations of size r=3 but in order of decreasing sum. Arranging the numbers in decreasing order does not work eg. (100, 90, 80) 270 (100, 90, 70) 260 (100, 90, 60) 250 (100, 90, 50) **240** (100, 80, 70) **250** (100, 80, 60) 240 How can i go about finding such a combination set with decreasing sum value. 回答1: Here' the Code import itertools array = [100,90,80,70,60,50] size = 3 answer = [] # to store all combination

问题 Can someone help me solve this? We recently held an election for 3 positions. There were 6 candidates. Each member could cast 3 votes but could not vote for the same person more than once. 134 ballots were cast. (402 total votes) The final tally was result = {a:91, b:66, c:63, d:63, e:60, f:59} I can easily determine the 20 possible unique ballots cast result.keys.combination(3).to_a But obviously given the number of possible combinations brute force would be impossibly time consuming so I am

问题 When addressed the Binary_Search in chapter 2(2.4.4),the author mentioned that " Notice that the variables cannot be declared unsigned(why?).In cases where the unsigned qualifier is questionable, we will not use it. As an example, if the unsigned qualifier is dependent on an array not beginning at zero, we will discard it. we will not use it. As an example, if the unsigned qualifier is dependent on an array not beginning at zero, we will discard it. We will also avoid using the unsigned type

问题 When addressed the Binary_Search in chapter 2(2.4.4),the author mentioned that " Notice that the variables cannot be declared unsigned(why?).In cases where the unsigned qualifier is questionable, we will not use it. As an example, if the unsigned qualifier is dependent on an array not beginning at zero, we will discard it. we will not use it. As an example, if the unsigned qualifier is dependent on an array not beginning at zero, we will discard it. We will also avoid using the unsigned type

问题 I'm writing my own animate function for fun and stuff. I can't really get a smooth animation to occur though. jQuery has an awesome ratio of steps per animation making it really smooth, I was wondering what is the general formula they use to figure out how many steps to take. 回答1: It depends on the duration of the animation. jQuery, using its default setting stored in jQuery.fx.interval , starts a single 13 ms interval timer common to all animations when the first one is started and stops it

问题 I'm writing my own animate function for fun and stuff. I can't really get a smooth animation to occur though. jQuery has an awesome ratio of steps per animation making it really smooth, I was wondering what is the general formula they use to figure out how many steps to take. 回答1: It depends on the duration of the animation. jQuery, using its default setting stored in jQuery.fx.interval , starts a single 13 ms interval timer common to all animations when the first one is started and stops it

问题 I'm solving an algorithmic problem and managed to decompose it. Here is the sub problem I have: I have n sets, let's say {1,2},{2,3},{3,4} I need to find the smallest set that have at least one element in every of these n sets, the solution here is: {2,3} . It's not a greedy problem, think about {1},{1,3},{1,3,4},{2,3,4},{2,3},{2} the solution is {1,2} even though 3 have the biggest frequency. Maybe there is also a common name for that algorithm, I tried to search but didn't manage to find

问题 I am using the grabcut algorithm of OpenCV for the background subtraction of an image in android. Algorithms runs fine but the result it gives is not accurate. E.g. My input image is: Output image look like: so How can we increase accuracy of Grabcut Algorithm? P.S: Apology for not uploading example images due to low reputation :( 回答1: I have been battling with the same problem for quite some time now. I have a few tips and tricks for this 1> Improve your seeds. Considering that GrabCut is

问题 I am using the grabcut algorithm of OpenCV for the background subtraction of an image in android. Algorithms runs fine but the result it gives is not accurate. E.g. My input image is: Output image look like: so How can we increase accuracy of Grabcut Algorithm? P.S: Apology for not uploading example images due to low reputation :( 回答1: I have been battling with the same problem for quite some time now. I have a few tips and tricks for this 1> Improve your seeds. Considering that GrabCut is

问题 I am using the grabcut algorithm of OpenCV for the background subtraction of an image in android. Algorithms runs fine but the result it gives is not accurate. E.g. My input image is: Output image look like: so How can we increase accuracy of Grabcut Algorithm? P.S: Apology for not uploading example images due to low reputation :( 回答1: I have been battling with the same problem for quite some time now. I have a few tips and tricks for this 1> Improve your seeds. Considering that GrabCut is