Most people with a degree in CS know what Big O stands for. It helps us to measure how well an algorithm scales. How do you calculate or approximate the complexity of your algorithms?

An algorithm is a sequence of well-defined steps that defines an abstract solution to a problem. Sign up to watch this tag and see more personalized content

2010年2月22日 · A common algorithm with O (log n) time complexity is Binary Search whose recursive relation is T (n/2) + O (1) i.e. at every subsequent level of the tree you divide problem into half and do …

While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn't really find any study material/details on it. What is the algorithm about?

2023年12月1日 · This is a simple question from algorithms theory. The difference between them is that in one case you count number of nodes and in other number of edges on the shortest path between …

The algorithm picks on a number A along the curve, then looks up the safe distance and jumps to the next hashtable, or at least the algorithm does those factor checks until the next hashtable becomes …

2009年7月2日 · I have a line from A to B and a circle positioned at C with the radius R. What is a good algorithm to use to check whether the line intersects the circle? And at what coordinate along the …

2009年9月9日 · This is a comment. If someone would be so kind as to move it into the comments for Stephen Canon's answer, that would be great. This, I hope, clarifies what the heck he meant by "The …

2015年4月18日 · Why could this be useful? Dependant on the morphing algorithm you use, there may be a relationship between similarity of images, and some parameters of the morphing algorithm. In a …

2009年9月1日 · Algorithm A can't tell the difference between two similar inputs instances where only x 's value changes. If x is the minimum in one of these instances and not in the other, then A will fail to …