C Coding Practice

Solve Maximum Sub Array of Non-Negative Numbers using C Language

Solve Maximum Sub Array of Non-Negative Numbers using C to enhance your skills with c coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Maximum Sub Array of Non-Negative Numbers

Difficulty : Medium

Categories :

  • Arrays
  • Dynamic programming

Find the maximum sub-array consisting of only non-negative numbers from an array. The sub-array must be contiguous.

Rules for determining the maximum sub-array:

  • Primary criteria: Maximum sum of elements
  • If sums are equal: Choose the sub-array with maximum length
  • If lengths are also equal: Choose the sub-array with minimum starting index
  • If no valid sub-array exists: Return [-1]

Constraints:

  • 1 ≤ array.length ≤ 105
  • -105 ≤ array[i] ≤ 105

Examples:

Input: arr = [1,2,5,-7,2,3]
Output: [1,2,5]
Explanation: [1,2,5] has sum=8 which is greater than [2,3] with sum=5
Input: arr = [-1,2]
Output: [2]
Explanation: Only positive sub-array is [2]
Input: arr = [1,2,3]
Output: [1,2,3]
Explanation: All elements are non-negative

Follow-up:

Can you solve it with O(n) time complexity and O(1) space complexity?

Problem Solving

Input

What You'll Find Here

Practical Challenges Solve coding problems that strengthen your understanding of C.

Step-by-Step Tutorials Learn how to write efficient and optimized code.

Career-Focused Skills Prepare for technical interviews with targeted exercises.

Choose from the following categories

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.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

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.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

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.