The first step to design algorithms for different programming languages is to know the strengths and weaknesses of the language you are using. Different languages may have different data ...

This groundwork sets the stage for exploring algorithm complexity, with practical exercises in design and analysis using sorting and search as examples. Each chapter delves into critical topics such ...

The strategy pattern is a behavioral design pattern that allows you to define a family of algorithms, encapsulate them in separate classes, and make them interchangeable at runtime. This way, you ...

Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key ...

The objective is to find an efficient algorithm that reduces the time complexity from O(n!) to O(2^n×poly(n)), leveraging dynamic programming techniques.

These include asymptotic notation and analysis, divide-and-conquer algorithms, dynamic programming, greedy algorithms, graph algorithms, number-theoretic algorithms (e.g., RSA cryptosystem), ...

A comprehensive exploration of dynamic programming in algorithm design, focusing on complex river crossing scenarios with variable costs and constraints. This project involves developing various ...

This article proposes a solution based on a dynamic programming algorithm to address issues such as path planning, energy consumption, and mapping accuracy in the UAV aviation emergency surveying and ...