1.最短路(Floyd、Dijstra,BellmanFord) 2.最小生成树(先写个prim,kruscal要用并查集,不好写) 3.大数(高精度)加减乘除 4.二分查找. (代码可在五行以内) 5.叉乘、判线段相交、然后写个凸包. 6.BFS、DFS,同时熟练hash表(要熟,要灵活,代码要简) 7.数学上的有:辗转相除(两行内),线段交点、多角形面积公式.
programming challenges.” You can check out that blogpost there and that's got a ton of resources. This is probably the best resources I found. It has a roundup of all the stuff that you can do to learn algorithms, especially algorithms that you would use in programming tests, online ...
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Machine learning: The subset of AI that enables systems to learn from data without explicit programming. ML algorithms improve automatically through experience to identify patterns to make predictions or decisions. Deep learning: A specialized form of machine learning using neural networks with multiple ...
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Computer science is the study of computation: that is, how to represent and process information. While computer science is a large and complex field, there are a few key areas that it addresses:Problem solving: you’ll learn algorithms, which are general strategies for modeling, decomposing, ...
4. Practice with data structure, Algorithms, and Design related issues I was thinking to put that as a second thing, however, it wound up fourth. As I would see it this is the most condemning of intentions to become a superior software engineer. The vast majority of good software engineer...
Here are some things to learn that will help you build a strong foundation: Programming languages. Algorithm developers use programming languages to create algorithms. Some common languages used are Python, Java, R, and JavaScript. Learn the types of algorithms developed in each of these languages...
1-3 months for basics, 4-12 months for advanced topics * The above comparisons are purely based on timelines needed to learn to become proficient with a programming language, not timelines needed to break into a career. Moreover, each person learns differently and goes at their own pace, we...
Waiting: Waiting for testing to complete, waiting for code review, and so on. Overproduction: Producing features that nobody is going to use. Over-processing: Unnecessary complex algorithms solving simple problems. Defects: Bugs. 7 Wastes in Marketing Transportation: Task switching, interruptions, un...