The Complexity of Some Topological Inference Problems
نویسنده
چکیده
We give some lower bounds on the description, sample, and computational complexities of the problems of computing dimension, homology, and topological type of a manifold, and detecting singularities for a polyhedron.
منابع مشابه
Spatial Logic and the Complexity of Diagrammatic Reasoning
Researchers have sought to explain the observed \eecacy" of diagrammatic reasoning (DR) via the notions of \limited abstraction" and inexpressivity 17, 20]. We argue that application of the concepts of computational complexity to systems of dia-grammatic representation is necessary for the evaluation of precise claims about their eecacy. We show here how to give such an analysis. Centrally, we ...
متن کاملGrigni: [7] Topological Inference
Geographical database systems deal with certain basic topological relations such as \A overlaps B" and \B contains C" between simply connected regions in the plane. It is of great interest to make sound inferences from elementary statements of this form. This problem has been identi ed extensively in the recent literature, but very limited progress has been made towards addressing the considera...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملElectricity Load Forecasting by Combining Adaptive Neuro-fuzzy Inference System and Seasonal Auto-Regressive Integrated Moving Average
Nowadays, electricity load forecasting, as one of the most important areas, plays a crucial role in the economic process. What separates electricity from other commodities is the impossibility of storing it on a large scale and cost-effective construction of new power generation and distribution plants. Also, the existence of seasonality, nonlinear complexity, and ambiguity pattern in electrici...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Foundations of Computational Mathematics
دوره 14 شماره
صفحات -
تاریخ انتشار 2014