Greedy algorithms are based on the idea of making the best local choice at each step, without considering the global consequences. They are often simple, fast, and easy to implement, but they may ...

In the last lesson, we defined Big O notation as a way to classify algorithms and give a summary of their time or space complexity based on the size of the inputs. We also learned how to calculate the ...

One of the most important aspects of algorithm documentation is to use simple and consistent language. Avoid jargon, slang, idioms, and complex sentences that may confuse or mislead your readers ...

Algorithm Examples. Algorithms are present in all aspects of modern life, from traffic signals to social media and online shopping. Examples include: Global Positioning System (GPS) Facial recognition ...

All around us, algorithms are invisibly at work. They’re recommending music and surfacing news, finding cancerous tumors, and making self-driving cars a reality. But do people trust them? Not ...

These kinds of adversarial examples are considered less threatening, because they don’t closely resemble the real world, where an attacker wouldn’t have access to a proprietary algorithm. For ...

Optimal inverse design, including topology optimization and evaluation of fundamental bounds on performance, which was introduced in Part 1, is applied to various antenna design problems. A memetic ...

On this graph, the steeper the line is, the worse the algorithm's performance is. We've already seen a couple examples of linear runtimes (our findSock and average algorithms both have O(n) runtime) ...