Unleash the power of dynamic programming! Master efficiency and solve complex problems with expertly crafted solutions. Java and Python code examples guide your path to optimized application performance. Dive into "The Dynamic Programming Manual" and unlock the secrets of success!
Author(s): Gábor László Hajba
Publisher: Independently published
Year: 2023
Language: English
Pages: 220
Table of Contents
Preface: Unleash the Power of Dynamic Programming
Part I: Theory
What is Dynamic Programming?
Fundamental Concepts
Advanced Dynamic Programming Techniques
Dynamic Programming in Practice
Advanced Topics in Dynamic Programming
Tips and Tricks for Efficient Dynamic Programming
Conclusion and Future Directions
Part II: Dive into Dynamic Programming Challenges
Fibonacci Sequence
Fibonacci with Memoization
Last Digit of Fibonacci Number
Longest Subsequence with Equal Elements
Longest Subarray with Equal 0s and 1s
Longest Common Subsequence
Minimum Subset Sum Difference
Valid Parentheses
Minimum Number of Parentheses
Find the Element that Appears Once
Find the Missing Number
Count Set Bits (Brian Kernighan's Algorithm)
Generate All Subsets
Power of Two
Scalar Multiplication Order
Topological Sorting
Breadth-First Search (BFS)
Depth-First Search (DFS)
Symmetric Tree
Lowest Common Ancestor
Trim a Binary Search Tree
Find Closest Value in BST
Binary Tree Level Order Traversal
Climbing Stairs
Best Time to Buy and Sell Stock
House Robber
Coin Change
Coin Change 2
Knapsack Problem (Bottom-Up)
0/1 Knapsack
Knapsack with Duplicate Items
Floyd-Warshall Algorithm
Hamiltonian Path and Circuit
N-Queens Problem
Sudoku Solver
Recover Binary Search Tree
Edit Distance
Dungeon Game
Cherry Pickup
Travelling Salesman Problem
Part III: Appendix
Proof of Optimal Substructure Property
Derivation of Memoization and Tabulation Techniques
Problem Analysis
Selecting the Right Data Structures for Dynamic Programming Efficiency
