Fading Coder

One Final Commit for the Last Sprint

Subset Dynamic Programming: Code Analysis & Evaluation

Given an enteger grid of dimensions $R \times C$ ($R \leq 12$, $C \leq 2000$), the optimization objective is to assign disjoint subsets of row indices to a selected group of columns. Each assigned column may undergo an independent vertical cyclic shift. The contribution of a column to its allocated...

Understanding Fast Exponentiation and Matrix Fast Exponentiation

What Is Fast Exponentiation, and Why Use It? Fast exponentiation, as the name suggests, computes the nth power of a value in drastically reduced time. While it may not see frequent use in early learning stages, the core logic behind its a fundamental concept worth mastering for any algorithm develop...

Implementing Range Minimum and Maximum Queries with Sparse Tables

Range Minimum/Maximum Query (RMQ) algorithms efficiently compute the minimum and maximum values across multiple subarrays within a sequence. These algorithms preprocess the data to enable constant-time queries, making them suitable for applications requiring repeated range queries on static data. Gi...

C++ String Manipulation and Common Algorithms

C++ String Representation C++ supports text processing through two primary mechanisms: the traditional C-style character array and the standard std::string class introduced in the C++ Standard Library. C-Style Strings Originating from the C language, C-style strings are essentially one-dimensional a...

Advanced Linked List Manipulation: Pair Swapping, Nth Node Removal, Intersection Detection, and Cycle Analysis

Swapping Adjacent Nodes in Pairs Iterative reconfiguration requires a sentinel node to manage boundary conditions and a systematic pointer update sequence. To avoid breaking the chain during link redirection, temporary references must capture the nodes immediately preceding the swap boundaries and t...

Resolving Right Interval Queries with Sorted Indices and Binary Search

The task requires identifying, for each given range [start, end], another range whose starting point is greater than or equal to the current range's ending point. Among all valid candidates, the one with the smallest starting value must be selected. The original index of this matching range is retur...

Solutions to CSP-S 2021 Programming Competition Problems

Solutions to CSP-S 2021 Programming Competition Problems Problem 1 Solution The problem involves resource allocation between two regions. If we precompute f₁, f₂, ..., fₘ₁ where fᵢ represents the maximum number of resources allocated to the domestic region with i resources, then fᵢ₊₁ will always inc...

Counting Unique Paths in a 2D Grid Matrix

Consider a scenario where an automated agent is situated at the top-left corner of a grid defined by m rows and n columns. The agent is strictly limited to movements either towards the right or downwards. The task is to calculate the total number of distinct routes the agent can take to arrive at th...

Sudoku Solver: Data Structures and Search Optimizations

Core Data Structures for Sudoku Solving When implementing a Sudoku solver, the key decision is how to represent placement constraints. A naive approach uses a 3D boolean array can[i][j][num] to indicate whether a number can be placed at position (i, j). While intuitive, this representation has a cri...

Dynamic Programming and Algorithm Problems Collection

Dynamic Programing Coin Change Problem def coin_change(coins, amount): dp = [float('inf')] * (amount + 1) dp[0] = 0 for coin in coins: for x in range(coin, amount + 1): dp[x] = min(dp[x], dp[x - coin] + 1) return dp[amount] if dp[amount] != float('inf') else -1 Predict the Winner def predict_winner(...