Fading Coder

One Final Commit for the Last Sprint

Minimizing Total Cost to Cut a Rectangular Cake to Unit Squares

The objective is to partition an m by n rectangular cake into 1x1 unit squares with the least total cost. Each horizontal cut between rows i and i+1 incurs a cost of horizontalCut[i]. Each vertical cut between columns j and j+1 incurs a cost of verticalCut[j]. The total cost is the sum of all cut co...

Efficient Solutions for Common Array Manipulation Problems

Merging Two Sorted Arrays Approach: Use two pointers starting from the end of both arrays and fill the result array from the end to avoid overwriting. Implementation: class ArrayMerger { public void combineSortedArrays(int[] primary, int size1, int[] secondary, int size2) { int position = primary.le...

Nordic Collegiate Programming Contest 2021 Solutions

A - Antenna Analysis The mathematical expression can be decomposed into two separate components: #include <iostream> #include <queue> #include <vector> using namespace std; int main() { ios::sync_with_stdio(false); cin.tie(nullptr); int n, c; cin >> n >> c; priority_que...

Fundamental Sorting Algorithms for Integer Arrays

1. Selection SortThe algorithm divides the input list into two parts: a sorted sublist built up from left to right, and the remaining unsorted items. During each iteration, the smallest element from the unsorted section is identified and swapped into its correct position at the end of the sorted sub...

Range Queries: Prefix Sums and Difference Arrays Explained

Prefix Sum Fundamentals The prefix sum technique converts range sum queries from O(n) per query to O(1) by preprocessing the array once. Given an array of n integers and m queries asking for the sum of elements between indices l and r (inclusive), the naive approach processes each query by iterating...

Essential LeetCode Problems for Algorithm Practice

Longest Increasing Subsequence To determine the length of the longest strictly increasing subsequence, dynamic programming is applied where dp[i] represents the length of the longest subsequence ending at index i. class Solution { public: int lengthOfLIS(vector<int>& sequence) { int size =...

Binary Search Techniques: Core Templates and Advanced Application Patterns

The foundation of efficient search operations relies on the divide-and-conquer principle applied to monotonic or structured datasets. The standard implementation maintains two pointers, typically left and right, converging toward a target state. To prevant infinite loops and ansure precise boundary...

In-Place Removal of Duplicates Exceeding Two Occurrences in Sorted Arrays

When processing sorted arrays where elements may appear multiple times, enforcing a maximum occurrence limit requires a two-pointer technique. The objective is to compact the sequence so that no value repeats more than twicee, achieving this modification within the original memory bounds with out au...

Optimizing Color Coverage and Chain Selection on Trees

Canvas Painting The problem involves finding the maximum number of effective operations to reduce distinct colors. With n initial colors, each operation can reduce one color by making two positions share the same color. The answer is n minus the maximum effective operations. Algorithm: Group paintin...

Essential Algorithm Concepts and Implementation Techniques

Data Structures Fundamentals Data structures provide the foundation for algorithm implemantation, offering various ways to organize and store data efficiently. Core Data Structure Types Arrays: Contiguous memory allocation enabling random access with O(1) time complexity for element retrieval Linked...