algorithm

问题 I have two sorted lists of numbers A and B with B being at least as long as A . Say: A = [1.1, 2.3, 5.6, 5.7, 10.1] B = [0, 1.9, 2.4, 2.7, 8.4, 9.1, 10.7, 11.8] I want to associate each number in A with a different number in B but preserving order. For any such mapping we define the total distance to be the sum of the squared distances between mapped numbers. For example: If we map 1.1 to 0 0 then 2.3 can be mapped to any number from 1.9 onwards. But if we had mapped 1.1 to 2.7, then 2.3

问题 I have two sorted lists of numbers A and B with B being at least as long as A . Say: A = [1.1, 2.3, 5.6, 5.7, 10.1] B = [0, 1.9, 2.4, 2.7, 8.4, 9.1, 10.7, 11.8] I want to associate each number in A with a different number in B but preserving order. For any such mapping we define the total distance to be the sum of the squared distances between mapped numbers. For example: If we map 1.1 to 0 0 then 2.3 can be mapped to any number from 1.9 onwards. But if we had mapped 1.1 to 2.7, then 2.3

问题 I have a lot of polygons. Ideally, all the polygons must not overlap one other, but they can be located adjacent to one another. But practically, I would have to allow for slight polygon overlap ( defined by a certain tolerance) because all these polygons are obtained from user hand drawing input, which is not as machine-precised as I want them to be. My question is, is there any software library components that: Allows one to input a range of polygons Check if the polygons are overlapped

问题 I have a lot of polygons. Ideally, all the polygons must not overlap one other, but they can be located adjacent to one another. But practically, I would have to allow for slight polygon overlap ( defined by a certain tolerance) because all these polygons are obtained from user hand drawing input, which is not as machine-precised as I want them to be. My question is, is there any software library components that: Allows one to input a range of polygons Check if the polygons are overlapped

问题 This is the problem: I have n points (p1, p2, p3, .. pn), each of them can connect to any other with a determined cost x. Each point belongs to one of a set of point-types (for example "A" "B" "C" "D"...). The input of the method is the path I want to follow, for example "A-B-C-A-D-B". The output is the shortest path connecting the points of the type I give in input so for example "p1-p4-p32-p83-p43-p12" where p1 is an A-type, p4 a B-type, p32 a C-type, p83 an A-type, p43 a D-type and p12 a B

问题 Sorting strings by comparisons (e.g. standard QuickSort + strcmp-like function) may be a bit slow, especially for long strings sharing a common prefix (the comparison function takes O(s) time, where s is the length of string), thus a standard solution has the complexity of O(s * nlog n). Are there any known faster algorithms? 回答1: If you know that the string consist only of certain characters (which is almost always the case), you can use a variant of BucketSort or RadixSort. 回答2: You could

问题 Sorting strings by comparisons (e.g. standard QuickSort + strcmp-like function) may be a bit slow, especially for long strings sharing a common prefix (the comparison function takes O(s) time, where s is the length of string), thus a standard solution has the complexity of O(s * nlog n). Are there any known faster algorithms? 回答1: If you know that the string consist only of certain characters (which is almost always the case), you can use a variant of BucketSort or RadixSort. 回答2: You could

问题 Where can I find a Java implementation of the Critical Path Method Algorithm? I am sure there's some implementation in the cloud. I have already searched on google obviously, but haven't found any implementation that works well. That's why I am asking. Thanks in advance. 回答1: Here is an implementation of the algorithm based on the explanation provided on this page There is a wrapper class to hold the task, cost, and critical path cost. It starts by calculating the critical cost as the maximum

问题 I wonder, can binary search be applied on a 2D array ? What would the conditions on the array be? Sorted on 2D?? What would be the time complexity for it? How would the algorithm change the boundary of the search (minX,maxX,minY,maxY) ?? Edit: Binary Search on 1D maintains 2 pointers minX and maxX .. It selects the middle index (minX+maxX)/2 and compare it with the search value, if greater then change maxX , else change minX ... until minX>=maxX Pseudo code for normal binary seacrh: min := 1;

问题 I have to write an algorithm for Assigning Contiguous seats in a seat map.For example: allocating seats in a stadium. The seat map can be viewed as a 2d array of N rows and M columns. The system must assign contiguous seats for bookings that are made together. Since no seat map is presented to the user, the system should automatically assign the available seats corresponding to each purchase. In addition to this, it should do this in such a fashion such that the holes/gaps in the seats are