var json = { “people”: { “person”: [{ “name”: “Peter”, “age”: 43, “sex”: “male”}, { “name”: “Zara”, “age”: 65, “sex”: “female”}] } }; $.each(json.people.person, function(i, v) { if (v.name == “Peter”) { alert(v.age); return; } }); Example. Based on this answer, you could use something like: $(function() { var json = { “people”: { “person”: … Read more
A tree is a general structure of recursive nodes. There are many types of trees. Popular ones are binary tree and balanced tree. A Trie is a kind of tree, known by many names including prefix tree, digital search tree, and retrieval tree (hence the name ‘trie’). Each kind of tree has a different purpose, … Read more
There is no clear answer to your question. It depends entirely how your data is organized. Something to keep in mind: Quadtrees work best for data that is mostly two dimensional like map-rendering in navigation systems. In this case it’s faster than octrees because it adapts better to the geometry and keeps the node-structures small. … Read more
AVL trees maintain a more rigid balance than red-black trees. The path from the root to the deepest leaf in an AVL tree is at most ~1.44 lg(n+2), while in red black trees it’s at most ~2 lg (n+1). As a result, lookup in an AVL tree is typically faster, but this comes at the … Read more
Total no of Binary Trees are = Summing over i gives the total number of binary search trees with n nodes. The base case is t(0) = 1 and t(1) = 1, i.e. there is one empty BST and there is one BST with one node. So, In general you can compute total no of … Read more
You’re looking for the for…in loop: for (var key in foo) { if (key == “child”) // do something… } Be aware that for…in loops will iterate over any enumerable properties, including those that are added to the prototype of an object. To avoid acting on these properties, you can use the hasOwnProperty method to … Read more
Perfect Tree: x / \ / \ x x / \ / \ x x x x / \ / \ / \ / \ x x x x x x x x Complete Tree: x / \ / \ x x / \ / \ x x x x / \ / x x … Read more
Take this with a pinch of salt: B-tree when you’re managing more than thousands of items and you’re paging them from a disk or some slow storage medium. RB tree when you’re doing fairly frequent inserts, deletes and retrievals on the tree. AVL tree when your inserts and deletes are infrequent relative to your retrievals.
How about this example from Unix Tree / Linux Tree: ls -R | grep “:$” | sed -e ‘s/:$//’ -e ‘s/[^-][^\/]*\//–/g’ -e ‘s/^/ /’ -e ‘s/-/”https://stackoverflow.com/”
There is not only a Wikipedia article on graph isomorphism (as Space_C0wb0y points out) but also a dedicated article on the graph isomorphism problem. It has a section Solved special cases for which polynomial-time solutions are known. Trees is one of them and it cites the following two references: P.J. Kelly, “A congruence theorem for … Read more