Jeremiah Blocki, jblocki+451@cs.cmu.edu: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, anvesh+451@cs.cmu.edu: Friday @ 4 ...
The course introduces basic data structures and algorithmic techniques that allow students to solve computational problems on the most important data types, such as sequences, sets, trees, and graphs.
Department of Chemical Engineering, Biotechnology, and Materials, Faculty of Physical and Mathematical Sciences, Center for Sustainable Design and Process Systems Engineering (ProSus), Universidad de ...
Abstract: The starting and synchronization process of high-voltage permanent magnetic synchronous motors (HVPMSM) is a complex electromechanical transient problem. This paper proposes a ...
Abstract: We present an algorithm that provides the one-dimensional subspace, where the Bayes error is minimized for the C class problem with homoscedastic Gaussian ...
Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
A memristor is a non-linear element. The chaotic system constructed by it can improve its unpredictability and complexity. Parameter identification of a memristive chaotic system is the primary task ...
The best algorithm for a computational problem generally depends on the “relevant inputs,” a concept that depends on the application domain and often defies formal articulation. Although there is a ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.9b01125. Smart citations by scite.ai include citation statements ...
Understanding dynamic constraints and balances in nature has facilitated rapid development of knowledge and enabled technology, including aircraft, combustion engines, satellites, and electrical power ...
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