cycle

jQuery Cycle plugin pagerAnchorBuilder images becoming undefined

与世无争的帅哥 提交于 2019-12-01 11:19:04
I have a slideshow built in flash that I want to mimic in jQuery. The slide show uses the images from the slideshow as the pager numbers. The problem im having is once i apply links to the slideshow images the pagerAnchorBuilder image returns an undefined for the src of the image. Javascript - $(function() { $('#slideshow').before('<ul id="nav">').cycle({ fx: 'fade', timeout: 7000, pager: '#nav', pagerAnchorBuilder: function(idx, slide) { return '<li><a href="#"><img src="' + slide.src + '" width="100" height="60" /></a></li>'; } }); }); HTML - <div id="slideshow" class="pics"> <a href="http:/

jQuery Cycle plugin pagerAnchorBuilder images becoming undefined

若如初见. 提交于 2019-12-01 07:59:17
问题 I have a slideshow built in flash that I want to mimic in jQuery. The slide show uses the images from the slideshow as the pager numbers. The problem im having is once i apply links to the slideshow images the pagerAnchorBuilder image returns an undefined for the src of the image. Javascript - $(function() { $('#slideshow').before('<ul id="nav">').cycle({ fx: 'fade', timeout: 7000, pager: '#nav', pagerAnchorBuilder: function(idx, slide) { return '<li><a href="#"><img src="' + slide.src + '"

Understanding the pseudocode in the Donald B. Johnson's algorithm

江枫思渺然 提交于 2019-12-01 05:49:57
Does anyone know the Donald B. Johnson's algorithm , which enumerates all the elementary circuits (cycles) in a directed graph? I have the paper he had published in 1975, but I cannot understand the pseudocode. My goal is to implement this algorithm in Java. Some questions I have, for example, is what is the matrix A k it refers to. In the pseudocode, it mentions that Ak:=adjacency structure of strong component K with least vertex in subgraph of G induced by {s,s+1,....n}; Does that mean I have to implement another algorithm that finds the A k matrix? Another question is what the following

r igraph find all cycles

十年热恋 提交于 2019-12-01 04:56:35
问题 I have directed igraph and want to fetch all the cycles. girth function works but only returns the smallest cycle. Is there a way in R to fetch all the cycles in a graph of length greater then 3 (no vertex pointing to itself and loops) 回答1: It is not directly a function in igraph, but of course you can code it up. To find a cycle, you start at some node, go to some neighboring node and then find a simple path back to the original node. Since you did not provide any sample data, I will

Understanding the pseudocode in the Donald B. Johnson's algorithm

天涯浪子 提交于 2019-12-01 04:06:56
问题 Does anyone know the Donald B. Johnson's algorithm, which enumerates all the elementary circuits (cycles) in a directed graph? I have the paper he had published in 1975, but I cannot understand the pseudocode. My goal is to implement this algorithm in Java. Some questions I have, for example, is what is the matrix A k it refers to. In the pseudocode, it mentions that Ak:=adjacency structure of strong component K with least vertex in subgraph of G induced by {s,s+1,....n}; Does that mean I

Would the ability to detect cyclic lists in Haskell break any properties of the language?

假装没事ソ 提交于 2019-12-01 02:51:53
In Haskell, some lists are cyclic: ones = 1 : ones Others are not: nums = [1..] And then there are things like this: more_ones = f 1 where f x = x : f x This denotes the same value as ones , and certainly that value is a repeating sequence. But whether it's represented in memory as a cyclic data structure is doubtful. (An implementation could do so, but this answer explains that "it's unlikely that this will happen in practice" .) Suppose we take a Haskell implementation and hack into it a built-in function isCycle :: [a] -> Bool that examines the structure of the in-memory representation of

Relational database design - “cyclic” graphs

放肆的年华 提交于 2019-12-01 01:07:11
In relational database design, should one worry about one (or more) "cyclic graphs" posing problems? (Simplified) E.g., tables T1( T1_Id , ...) T2( T2_Id , T1_Id_Fk, ...) T3( T1_Id_Fk, T2_Id_Fk , ..) Primary keys are bolded. Rows in T1 have a double role. A T1 row r1 can be in relationship T3 with a row r2 in T2, but it can also be a parent row for a (possibly the same) row r2' in T2. These two relationships are orthogonal. I came up with something like this: T1_Base( T1_Id , ...) T1_Child1( T1_C1_Id , ...) T1_Child2( T1_C2_Id , ...) T2( T2_Id , T1_C1_Id_Fk, ...) T3( T1_C2_Id_Fk, T2_Id_Fk , ..

What is the dynamic programming algorithm for finding a Hamiltonian cycle in a graph?

不羁岁月 提交于 2019-11-30 10:39:52
问题 What is dynamic programming algorithm for finding a Hamiltonian cycle in an undirected graph? I have seen somewhere that there exists an algorithm with O(n.2^n) time complexity. 回答1: There is indeed an O(n2 n ) dynamic-programming algorithm for finding Hamiltonian cycles. The idea, which is a general one that can reduce many O(n!) backtracking approaches to O(n 2 2 n ) or O(n2 n ) (at the cost of using more memory), is to consider subproblems that are sets with specified "endpoints" . Here,

Why does Python's itertools.cycle need to create a copy of the iterable?

为君一笑 提交于 2019-11-30 09:00:04
问题 The documentation for Python's itertools.cycle() gives a pseudo-code implementation as: def cycle(iterable): # cycle('ABCD') --> A B C D A B C D A B C D ... saved = [] for element in iterable: yield element saved.append(element) while saved: for element in saved: yield element Below, it states: "Note, this member of the toolkit may require significant auxiliary storage (depending on the length of the iterable)." I basically was going down this path, except I did this, which does not require

Detecting cycle maxima (peaks) in noisy time series (In R?) [closed]

风格不统一 提交于 2019-11-30 07:39:33
问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . This question is about an algorithm for determining the number and location of maxima in a sequence of numbers. Thus, there is a statistical flavor to the question, but it is more leaning towards programming, because I am not interested in the specific statistical properties, and the solution needs to be in R.