Go Lang Coding Practice

Solve Generate Valid Parentheses using Go Lang Language

Solve Generate Valid Parentheses using Go Lang to enhance your skills with go lang coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Generate Valid Parentheses

Difficulty : Medium

Categories :

  • Mathematics

Given n pairs of parentheses, generate all possible combinations of well-formed parentheses. A combination is well-formed if every opening parenthesis '(' has a matching closing parenthesis ')'.

Constraints:

  • 1 ≤ n ≤ 8
  • Return combinations in any order
  • Each combination should be a valid parentheses string

Examples:

Input: n = 2
Output: ["(())", "()()"]
Explanation: All possible valid combinations for 2 pairs
Input: n = 3
Output: ["((()))", "(()())", "(())()", "()(())", "()()()"]
Explanation: All 5 valid combinations for 3 pairs

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Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

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Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

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Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.