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Clinical Practice Guidelines, National Clearinghouse; AHRQThe ACM Digital Library (DL) is the most comprehensive collection of full-text articles and bibliographic records in existence today covering the fields of computing and information technology.
Hoover's provides in-depth industry analysis & information on 40,000 public and non-public companies as well as 225,000 key executives. The Department of Management Science and Engineering leads at the interface of engineering, business, and public policy. Topics: Basic Algebraic Graph Theory, Matroids and Minimum Spanning Trees, Submodularity and Maximum Flow, NP-Hardness, Approximation Algorithms, Randomized Algorithms, The Probabilistic Method, and Spectral Sparsification using Effective Resistances. We traditionally think of algorithms as running on data available in a single location, typically main memory. The main algorithms and software for constrained optimization emphasizing the sparse-matrix methods needed for their implementation. Prerequisites: Basic numerical linear algebra, including LU, QR, and SVD factorizations, and an interest in MATLAB, sparse-matrix methods, and gradient-based algorithms for constrained optimization. Prossible topics include: greedy algorithms for vertex/set cover; rounding LP relaxations of integer programs; primal-dual algorithms; semidefinite relaxations. The department’s mission is, through education and research, to advance the design, management, operation, and interaction of technological, economic, and social systems. Over the past decade there has been an explosion in activity in designing new provably efficient fast graph algorithms. Linear, semidefinite, conic, and convex nonlinear optimization problems as generalizations of classical linear programming. Topics will be illustrated with applications from Distributed Computing, Machine Learning, and large-scale Optimization. In many modern applications including web analytics, search and data mining, computational biology, finance, and scientific computing, the data is often too large to reside in a single location, is arriving incrementally over time, is noisy/uncertain, or all of the above. Iterative methods for linear equations and least squares. Recommended: MS&E 310, 311, 312, 314, or 315; CME 108, 200, 302, 304, 334, or 335. The citations are comprised of journal articles, monographs, theses, patents, software, audiovisual materials, and technical reports related to agriculture.NAL / Ebscohost AHRQ (Agency for Healthcare Research & Quality) is the lead Federal agency charged with improving the quality, safety, efficiency, and effectiveness of healthcare for Americans.