Dynamic Programming Solutions for House Robber Problems
House Robber I - Linear Array Problem
The classic House Robber problem involves maximizing the amount of money that can be stolen from a line of houses, where adjacent houses cannot be robbed on the same night.
class Solution {
public:
int maxLoot(vector<int>& values) {
int houseCount = values.size();
if (houseCoun ...
Posted on Sun, 10 May 2026 23:26:35 +0000 by AL-Kateb
Dynamic Programming Patterns for Knapsack Problems
01 Knapsack
Problem Statement
Given N items and a knapsack with capacity m, each item has a volume v[i] and value w[i]. Each item can be selected at most once. Determine which items to select so that the total volume does not exceed the knapsack's capacity and the total value is maximized.
Approach
Let dp[i][j] denote the maximum value achievab ...
Posted on Sun, 10 May 2026 13:24:38 +0000 by basdog22
Algorithmic Strategies for Sequence Construction, Pattern Matching, and Tree-Based Scheduling
Problem A: Reachable Sums via Step Sizes
Tags: Dynamic Programming Knapsack Variation
Approach
Given a maximum limit n and two step values a and b, the objective is to determine the largest integer less than or equal to n that can be formed by summing multiples of a and b. Since the value range is constrained, a boolean dynamic programming arra ...
Posted on Sun, 10 May 2026 11:38:23 +0000 by adrian_melange
Minimum Path Sum in a Grid Using Dynamic Programming
Given a grid of non-negative integers, find the path from the top-left corner to the bottom-right corner that miniimzes the sum of the values along the path. Movement is restricted to only down or right directions.
Example 1:
Input: [[1,3,1],[1,5,1],[4,2,1]]
Output: 7
Explanation: The path 1→3→1→1→1 yields the minimum sum.
Example 2:
Input: [[1 ...
Posted on Sun, 10 May 2026 08:09:15 +0000 by tcl4p
Dynamic Programming Solutions for LeetCode 343 and 96
LeetCode 343: Integer Break
Given an integer n, break it into the sum of k positive integers, where k >= 2, and maximize the product of those integers. Return the maximum product you can get.
Dynamic Programmign Approach
The problem can be solved using dynamic programming. The key insight is that the maximum product for a number i depends on ...
Posted on Sat, 09 May 2026 02:17:40 +0000 by Svoboda
Dynamic Programming Approaches for Integer Partitioning and Unique BST Generation
Integer Partitioning for Maximum Product
To maximize the product of integers summing up to a target value n, dynamic programming tracks optimal sub-solutions. Define an array maxProduct where maxProduct[val] represents the highest achievable product from partitioning the integer val.
Since partitioning 0 or 1 yields no valid product, the base c ...
Posted on Fri, 08 May 2026 19:11:46 +0000 by thiscatis
Four Classic NOIP 2010 Algorithm Problems with Solutions
Machine Translation Software (Queue Simulation)
Problem Description
A translation software maintains a memory buffer with M slots. When translating a word, the system first checks if the word exists in memory. If found, no external lookup is needed. Otherwise, it searches the dictionary, stores the word in memory, and increments the lookup coun ...
Posted on Fri, 08 May 2026 10:15:59 +0000 by neo926
Optimizing Database Index Design and Calculating Dice Sum Probabilities with Dynamic Programming
Understanding InnoDB's indexing mechanism clarifies why lengthy fields are suboptimal as primary keys. Since secondary indexes reference the primary index, an oversized primary key inflates secondary indexes. Similar, using non-monotonic feilds as primary keys in InnoDB is inefficient because the data file is structured as a B+Tree. Non-monoton ...
Posted on Thu, 07 May 2026 18:23:42 +0000 by daucoin
AtCoder Beginner Contest 056 Solutions and Optimization Techniques
Problem A: Honest or Dishonest
Two characters (a) and (b) are given, each either H (honest) or D (dishonest). Person A always tells the truth if (a = H), otherwise always lies. A states that B is honest if (b = H), or that B is dishonest if (b = D). Determine whether B is actually honest.
Solution
If A is dishonest ((a = D)), the statement is f ...
Posted on Thu, 07 May 2026 18:11:44 +0000 by shseraj
Dynamic Programming Techniques for 0-1 and Unbounded Knapsack Problems
Core Implementation Strategy
Resolving knapsack variations follows a structured pattern involving state definition, initialization, and recurrence relation formulation. The primary distinction lies in whether an item can be selected multiple times or only once.
Phase 1: 0-1 Knapsack Variant
In this scenario, each item is available exact once pe ...
Posted on Thu, 07 May 2026 11:23:34 +0000 by pradee