Metric spaces form the backbone of modern computational geometry by providing a rigorous framework for measuring distances within abstract sets, while geometric approximation algorithms yield ...
Abstract: The geometric approaches based on reduced convex hull (RCH) are promising methods for solving support vector machine (SVM), which have been the focus of intense theoretical as well as ...
Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated to ...
GMac, short for “Geometric Macro“, is a sophisticated .NET based code generation software system that allows implementing geometric models and algorithms based on ...
Abstract: The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Evolution ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 45 (November 8, 2011), pp. 18221-18226 (6 pages) We describe approaches for distances between pairs of ...
Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...
Can answer a system design question. For instance, Building a complete Tweet index can answer "How to implement Twitter search" or "How to implement hashtag in Twitter". Free to read or watch. Text ...
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