Calculating Binomial Expansion Coefficients Modulo 10007

This article addresses the problem of finding the coefficient of the $x^n y^m$ term in the expansion of the polynomial $(ax + by)^k$. The solution involves applying the binoimal theorem and calculating combinations modulo 10007. Binomial Theorem Application The binomial theorem states that $(x+y)^k = \sum_{i=0}^{k} \binom{k}{i} x^{k-i} y^i$. In ...

Posted on Mon, 06 Jul 2026 16:23:12 +0000 by fangfang

Dynamic Programming Problem Solutions

Unique Substrings in Wraparound String Given a string p, find the number of unique non-empty substrings of p that are also substrings of the infinite wraparound string "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz...". The infinite string repeats the alphabet sequence cyclically. DP Solution: We'll use a DP array where dp[i] r ...

Posted on Mon, 29 Jun 2026 17:55:59 +0000 by eashton123

Dynamic Programming Techniques for Knapsack Problems

0/1 Knapsack Given N items and a knapsack with capacity V, each item can only be selected once. Item i has volume v[i] and value w[i]. Determine which items to select to maximize total value without exceeding the knapsack's volume. Constraints: 0 < N, V ≤ 1000 0 < v[i], w[i] ≤ 1000 Time Complexity: O(N × V) int n, m; int f[100010], w[10 ...

Posted on Mon, 29 Jun 2026 17:26:05 +0000 by Duxie

Efficient Sorting, Searching, and Algorithm Design Patterns in JavaScript

Sorting & Searching Fundamentals Sorting rearranges a array into ascending or descending order. Searching finds the index of a given element. JavaScript provides sort() for sorting and indexOf() for searching, but understanding underlying algorithms is essential for performance tuning and problem-solving. Bubble Sort Array.prototype.bubbleS ...

Posted on Sun, 28 Jun 2026 17:00:01 +0000 by josborne

Finding the Longest Palindromic Substring: Three Algorithmic Approaches

Given a string s, the objective is to locate and return longest substring that reads the same forwards and backwards. Examples Input: s = "babad" Output: "bab" Note: "aba" is also a valid answer. Input: s = "cbbd" Output: "bb" Input: s = "a" Output: "a" Input: s = "a ...

Posted on Sat, 27 Jun 2026 17:42:13 +0000 by Sul

Solving the Minimum Path Sum Problem with Dynamic Programming

Given a m x n grid filled with non-negative numbers, find a path from the top-left corner to the bottom-right corner wich minimizes the sum of all numbers along its path. You can only move either down or right at any point in time. Approach: Dynamic Programming This problem is a classic example of dynamic porgramming. The key is to build a solu ...

Posted on Fri, 26 Jun 2026 17:06:09 +0000 by soulmedia

Solving LeetCode Problems Using Greedy Strategies

1648. Sell Diminishing-Valued Colored Balls The objective is to maximize profit when selling balls whose values decrease by 1 after each sale. The optimal approach is a greedy strategy where we always sell the currently most valuable balls available. By sorting the inventory in descending order, we can visualize the stock as columns. We process ...

Posted on Fri, 26 Jun 2026 16:49:48 +0000 by keystroke

Floyd Algorithm and Its Practical Applications in Graph Problems

Understanding the Floyd-Warshall Algorithm The Floyd-Warshall algorithm is a classic dynamic programming approach used to compute the shortest paths between all pairs of vertices in a weighted graph. It operates efficiently on dense graphs where the number of edges is close to the square of the number of vertices. With a time complexity of \\(O ...

Posted on Thu, 25 Jun 2026 16:42:24 +0000 by antwonw

Algorithmic Solutions for Competitive Programming Challenges

Challenging problems require innovative approaches to solve efficiently. Short Colorful Strip Given that n equals m, the final configuration must be a permutation of n. Key observations: When coloring an interval, the smallest color within that interval is always colored first. The coloring operation requires all points in the covered interval ...

Posted on Tue, 23 Jun 2026 16:50:12 +0000 by girishn

Dynamic Programming Solutions for Subsequence Problems: Longest Increasing Subsequence, Longest Continuous Increasing Subsequence, and Longest Common Subarray

Longest Increasing Subsequence (LIS) Problem: Given an unsorted array, find the length of the longest increasing subsequence. Dynamic Programming Approach: Define DP array: Let lis[i] represent the length of the longest increasing subsequence ending at index i. Transition: For each i, iterate through all j < i, and if nums[i] > nums[j], ...

Posted on Sun, 21 Jun 2026 16:25:59 +0000 by cryp7