Fading Coder

One Final Commit for the Last Sprint

Finding Peak Elements in Arrays Using Binary Search Algorithm

A peak element in an array is one that is strictly greater than its neighboring elements. Given an integer array where no two adjacent values are equal, the task is to locate any peak element and return its index. Multiple peaks may exist, and returning any single peak is acceptable. The solution mu...

Efficiently Counting Inversion Pairs in Stock Records Using Merge Sort

Problem Definition Given an array of stock prices representing daily records, an inversion pair is defined as a tuple $(i, j)$ where $i < j$ and $record[i] > record[j]$. The objective is to calculate the total count of such pairs within the input array. For instance, given the input [9, 7, 5, 4, 6],...

Fundamentals of 2D Computational Geometry

Computational geometry problems typically operate in the real number space ℝ, requiring double-precision floating-point operations. The key challenge lies in comparing floating-point values due to precision errors. We often need to treat values like 1 and 1.0000001 as equal. We define an epsilon (ε)...

Efficient Array Processing: Squared Sorting, Subarray Minimization, and Spiral Construction

Sorting Squared Elements of a Monotonic Array Given an integer sequence arranged in non-decreasing order, the objective is to generate a new array containing the squares of each element, also sorted in non-decreasing order. Because the original input may contain negative values, squaring them can in...

25 Essential Python Programming Exercises: From Mathematical Puzzles to Classic Algorithms

Problem 1: Narcissistic Numbers (Armstrong Numbers) A Narcissistic number (also known as an Armstrong number or PPDI) is a 3-digit number where the sum of the cubes of its digits equals the number itself. For example: $1^3 + 5^3 + 3^3 = 153$. for candidate in range(100, 1000): hundreds = candidate /...

Sequential Lists and Linked Lists: Core Linear Data Structures Explored with Implementations and Exercises

Linear structures consist of a finite sequence of elements with identical properties. Common linear data structures include arrays, linked lists, stacks, queues, and strings. While linear structures follow a continuous logical arrangement, their physical storage may be either contiguous or non-conti...

Contest Problem Analysis: Dynamic Programming and Graph Algorithms

This article examines several algorithmic problems featuring dynamic programming, state management, and graph traversal techniques. Problem 1: Frozen Dumplings Consider a scenario where daily dumpling prices vary, and storage costs accrue for each day a dumpling is kept. Given prices for n days and...

Implementing Sliding Window Algorithms for String Manipulation

Sliding Window Algorithm Paterns Core Implementation Template const slidingWindowSolution = (inputString) => { // Initialize tracking variables let [primaryVar, secondaryVar] = [initialValue1, initialValue2]; // Set window boundaries let windowStart = 0; const results = []; for (let windowEnd = 0...

Finding the Longest Common Prefix in an Array of Strings

The task is to identify the longest common prefix shared among all strings in a given array. For instance, with an input like ['abc', 'abcd', 'abd'], the result should be 'ab'. Approach 1: Brute Force Itertaion A straightforward method involves incrementally building prefixes and verifying each one...

Common Linked List Problems and Solutions

Copy List with Random Pointer This problem is a classic deep copy scenario, similar to graph cloning (e.g., LeetCode 133). Approach: Traverse the list once to copy the next pointers. During this traversal, store the mapping between original nodes and their copies in a hash map. Traverse the list a s...