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Explain in detail about the Ruby arrays
Ruby arrays have many interesting and powerful methods. Besides indexing operations which go well beyond those discussed above, arrays have operations based on set operations (membership, union, intersection, and relative complement), string operations (searching, concatenation, and replacement), stack operations (pop and push), and queue operations (shift and append), as well as more traditional array-based operations (sorting, removing duplicates, reversing, and so forth). Arrays are also tightly bound up with Ruby's iteration mechanism.
Implement multiple stacks in a single dimensional array. Write algorithms for various stack operations for them.
Five popular hashing functions are as follows: 1) Division Method 2) Midsquare Method 3) Folding Method 4) Multiplicative method 5) Digit Analysis
State the ways to construct container taxonomy There are several ways that we could construct our container taxonomy from here; one way that works well is to make a fundamental
How does cpu''s part tming and controls generate and controls signls in computer?
Huffman Encoding is one of the very simple algorithms to compress data. Even though it is very old and simple , it is still widely used (eg : in few stages of JPEG, MPEG etc). In t
What is complexity of an algorithm? What is the basic relation between the time and space complexities of an algorithm? Justify your answer by giving an example.
Red-Black trees have introduced a new property in the binary search tree that means an extra property of color (red, black). However, as these trees grow, in their operations such
How do collisions happen during hashing? Usually the key space is much larger than the address space, thus, many keys are mapped to the same address. Assume that two keys K1 an
Write down the algorithm of quick sort. An algorithm for quick sort: void quicksort ( int a[ ], int lower, int upper ) { int i ; if ( upper > lower ) { i = split ( a,
What is a height balanced tree? Height Balanced Tree (AVL Tree) An AVL tree is a binary search tree in which the height of the left and right subtree of the root vary by at most
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