recc. by https://news.ycombinator.com/item?id=9623707 : "I have been working ten years professionally developing a CAD program, and if I could time travel and give my ten years younger self a single tip it would be to use a proper geometrical kernel (like CGAL) rather than doing anything with floating point."
Geometry is an interesting branch of Math to those who understand the objectives of learning the subject. Instead of thinking about Geometry in abstract terms, if one goes on to realize the value of the subject in practical terms, he takes special interest in learning it and derives lots of benefits from it.
This is an excellent tool to learn how to solve math problems. Students type the story problem. And the software is giving the answer in step-by-step solution. All the steps and explanations help students to understand how to look at a problem, see the key words, and reach to solutions. I think this can help parents to help their children in math as well.
It is a great mathematical software for children from third grade through college. Students get better understanding of some abstract things about math. There is a section you can try it free and get a feeling of it. Students can start making sense by making connection between numeric and graphic representations.
To get sketchpad non expiring license you need to pay$70 for 1-4 computers, but it gets cheaper as more computers are added. There are free webinars. There are also workshops and courses they offer.
The Earth Mover's Distance (EMD) between two weighted point sets (point distributions) is a distance measure commonly used in computer vision for color-based image retrieval and shape matching. It measures the minimum amount of work needed to transform one set into the other one by weight transportation. We study the following shape matching problem: Given two weighted point sets A and B in the plane, compute a rigid motion of A that minimizes its Earth Mover's Distance to B. No algorithm is known that computes an exact solution to this problem. We present simple FPTASs and polynomial-time (2+ε)-approximation algorithms for the minimum Euclidean EMD between A and B under translations and rigid motions. Earth Movers Distance