Introduction to Foundry Algorithmic Development with Rust
Introduction to Foundry Algorithmic Development with Rust, Let’s venture into the intricate side of Dapps research optimization for performance with Foundry.
How to start developing new and improved Dapps with Rust?
Let’s learn the exciting optimizations possible with Rust, and let’s start with algorithmic sufficiency first.
Students will learn how to calculate algorithmic efficiency and complexity, and how to design algorithms that are both correct and efficient. The course will cover several algorithmic paradigms, such as divide-and-conquer, dynamic programming, and greedy algorithms. Additionally, the course will introduce students to algorithmic techniques for specific types of problems, such as sorting, searching, graph traversal, and dynamic programming. This course will provide students with a solid foundation in algorithms, including their design, analysis, and implementation. Students will learn to evaluate algorithmic efficiency and complexity and to design algorithms that are both correct and efficient.
Course Outline:
- Introduction to Foundry
- Sorting Algorithms
- Selection sort, insertion sort, merge sort, and quicksort
- Analysis of sorting algorithms
- Implementation of sorting algorithms in a programming language
- Searching Algorithms
- Linear search and binary search
- Analysis of searching algorithms
- Implementation of searching algorithms in a programming language
In Part 2
- Graph Algorithms
- Graph representation and traversal
- Breadth-first search and depth-first search
- Dijkstra’s algorithm for shortest path
- Analysis and implementation of graph algorithms in a programming language
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In Part 3 with Foundry
- Dynamic Programming
- Overview of dynamic programming
- Memoization and tabulation
- Knapsack problem and other examples of dynamic programming
- Analysis and implementation of dynamic programming algorithms in a programming language
