### Which is better Fenwick tree or segment tree?

## Which is better Fenwick tree or segment tree?

Fenwick trees are faster and extremely simple to implement. The asymptotic bounds are equivalent, but the most basic query and update code is almost branchless, non-recursive, and uses very few operations. The segment tree versions of this can be made almost as fast, but this does take extra effort.

**Is Fenwick tree useful?**

A Fenwick tree or binary indexed tree is a data structure that can efficiently update elements and calculate prefix sums in a table of numbers. This structure was proposed by Boris Ryabko in 1989 with a further modification published in 1992.

### Where is Fenwick tree used?

The Fenwick Tree, also called Binary Indexed Tree, is a data structure used to update elements and evaluate range queries in arrays. It differs from other similar data structures by using a method to arrange binary numbers in two dimensions.

**How do you make a Fenwick tree?**

Let us consider the following problem to understand Binary Indexed Tree. 1 Compute the sum of the first i elements. 2 Modify the value of a specified element of the array arr[i] = x where 0 <= i <= n-1.

#### Can we use binary search tree for indexing?

Binary search works this way because each search attempt cuts the number of records to search in half. That said, databases typically use some other binary tree-like data structure such as b-trees or red-black trees to perform the indexing.

**What is R tree indexing?**

An index organizes access to data so that entries can be found quickly, without searching every row. The R-tree access method enables you to index multidimensional objects. Queries that use an index execute more quickly and provide a significant performance improvement.

## What is the advantage of segment tree?

Segment tree allows processing interval or range queries in logarithmic time, and is thus used when there is a need to process multiple such queries. In segment tree, the array is stored at the leaves of the tree, while the internal nodes store information about segments represented by its children.

**Is B-tree and binary tree same?**

Unlike binary tree, in B-tree, a node can have more than two children. B-tree has a height of logM N (Where ‘M’ is the order of tree and N is the number of nodes)….Binary Tree :

S.NO | B-tree | Binary tree |
---|---|---|

5. | B-tree is used in DBMS(code indexing, etc). | While binary tree is used in Huffman coding and Code optimization and many others. |

### Why MongoDB uses B-tree?

Why does MongoDB use B-tree? The nodes in the B+ tree do not store data, and all data stored in the leaf nodes causes the query time complexity to be fixed to log n. The B-tree query time complexity is not fixed, and it is related to the position of the key in the tree, preferably O(1).

**Is R-tree balanced?**

The key difficulty of R-tree is to build an efficient tree that on one hand is balanced (so the leaf nodes are at the same height) on the other hand the rectangles do not cover too much empty space and do not overlap too much (so that during search, fewer subtrees need to be processed).

#### What does the minimum bounding rectangle contain in an R-tree?

Minimum Bounding Box = the smallest rectangle that contains a group of objects.

**How to use a Fenwick tree in Python?**

We also use a fenwick tree. This data structure is kind of like a virtual array A that lets us do two things in O (n log n) time: .add (i, x) is like A [i] += x, and .sum (i) is like sum (A [:i+1]). Now for every query value, we can use the fenwick tree to find the rank of that query value.

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Which is better Fenwick tree or segment tree? Fenwick trees are faster and extremely simple to implement. The asymptotic bounds are equivalent, but the most basic query and update code is almost branchless, non-recursive, and uses very few operations. The segment tree versions of this can be made almost as fast, but this does take…