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Titlebook: Interactive Theorem Proving; 6th International Co Christian Urban,Xingyuan Zhang Conference proceedings 2015 Springer International Publish

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Sylvain Boulmé,Alexandre Maréchal images via process of . and used in computer-aided simulation to study physical phenomena (Kim and Kim 2011). 3D models can also be geometrically created by . process. 3D modeling technology allows efficient modeling processes including . that can simulate the motion of 3D objects instead of only s
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Hing-Lun Chan,Michael Norrishearch and industrial sectors including aerospace, defense, automotive, and consumer products. These efficient tools, deployed for R&D in the laboratory and the field, perform efficiently three-dimensional modeling of finished products, render complex geometrical product designs, facilitate structura
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Arthur Charguéraud,François Pottier images via process of . and used in computer-aided simulation to study physical phenomena (Kim and Kim 2011). 3D models can also be geometrically created by . process. 3D modeling technology allows efficient modeling processes including . that can simulate the motion of 3D objects instead of only s
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Machine-Checked Verification of the Correctness and Amortized Complexity of an Efficient Union-Findis based on characteristic formulae and Separation Logic, and which we extend with time credits. Although it was known in principle that amortized analysis can be explained in terms of time credits and that time credits can be viewed as resources in Separation Logic, we believe our work is the first practical demonstration of this approach.
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Formalization of Error-Correcting Codes: From Hamming to Modern Coding Theory,alization of ECCs using the SSReflect extension of the Coq proof-assistant. We report on the formalization of linear ECCs, duly illustrated with a theory about the celebrated Hamming codes and the verification of the sum-product algorithm for decoding LDPC codes.
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Learning to Parse on Aligned Corpora (Rough Diamond),ch as typechecking and automated theorem proving, and even let the probabilistic methods self-improve based on such semantic feedback. We describe the general motivation and our first experiments, and build an online system for parsing ambiguous formulas over the Flyspeck library.
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