Sandhiya Priya's contributions

Master dynamic programming to efficiently count LCS increases. Learn prefix/suffix DP for O(nm) solutions, avoiding brute-force recomputation.

Solve the Subset Sum Divisible by K problem efficiently using dynamic programming. Avoid brute force by tracking remainders modulo K.

Master the Maximum Subarray Sum problem with at most one deletion using dynamic programming. Optimize with O(N) time and O(1) space.

Find minimum insertions/deletions to transform array 'a' to 'b' using LCS and LIS in O(N log N) time. Efficient for large datasets.

Maximize dot product by strategically inserting zeros into array b. This DP solution efficiently finds the optimal alignment by considering element choices.

Learn how to solve the Count Matching Subsequences problem using Dynamic Programming in Java with an O(n × m) approach, explanation, examples, and code.

Generate n-digit numbers with strictly increasing digits. Efficiently construct valid sequences using recursion and backtracking.

Solve the Rat Maze with Multiple Jumps problem using Backtracking & DP. Explore paths, prioritize jumps, and build the optimal route.

Find the maximum number of people that can be defeated using the sum-of-squares formula and binary search in O(log n) time.

Master the 'Maximum Area Between Bars' problem using the efficient two-pointer approach. Learn the optimal O(n) solution for finding the largest container.

Find the last digit of a^b for huge numbers. Learn about cyclicity of last digits and efficient modulo operations for large exponents.

Optimize array transformations by finding the minimum operations to equalize prefix sums using median and prefix sum techniques for O(n) efficiency.

Calculate the coverage of zeros in a binary matrix. Sum coverage for each zero by checking for adjacent ones in four directions.

Maximize rope cut product! Discover the optimal strategy of cutting into 3s and a Java solution with O(log n) complexity.

Efficiently construct a list using XOR queries by processing in reverse. Avoids costly array updates with bit manipulation.

Solve the Minimum Cost to Fill Given Weight problem using dynamic programming, an Unbounded Knapsack variation. Find the cheapest way to reach an exact weight.

Find the optimal split point in bracket strings where opening brackets left equal closing brackets right. Efficient O(n) solution.

Discover which elements are discoverable via binary search on unsorted arrays. Learn the O(n) algorithm and its O(log n) space complexity.

Master the Stock Span Problem with the Monotonic Stack pattern. Efficiently find consecutive days with lower or equal stock prices in O(n) time.

Unlock the secret to counting valid parentheses! Discover the Catalan Number pattern and solve this common coding challenge efficiently.

Master the Josephus Problem! Learn the elegant recurrence relation, its 0-based and 1-based solutions, and why iterative is superior.

Find the maximum number of people visible in a line. This problem is solved efficiently using a monotonic stack to find previous and next greater elements.

Solve the Seating Arrangement Problem: Determine if k people can be seated in empty seats without adjacent occupancy using a greedy approach.

Learn how to count valid balanced-parentheses expressions of length n using Catalan numbers. Odd lengths return 0, while even lengths are computed in O(n) time and O(1) space.

A matrix search problem solved efficiently using binary search on value range and counting elements less than or equal to mid in O(n) time per step.