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Topics include important data structures and algorithms; numerical methods ... and regression (linear, nonlinear), unsupervised learning (MLE, MAP, clustering, PCA, dimensionality reduction), ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...
The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...
In this work, we define MRs based on the design assumptions and explore combinations of these MRs using genetic programming to generate CPS test cases. This enables the generation of CPS input traces ...
Haldane, J. B. S., and Stern, K., “Allgemeine Chemie der Enzyme” (Steinkopf, Leipzig and Berlin, 1932).
and strength anisotropy parameters of soil. (3) Establish an initial finite element method (FEM) model of slope with deterministic soil parameters. (4) The slope safety factor calculation method ...
One-dimensional - Rectangle rule. - Trapezoidal rule. - Simpson's rule. - Gauss-Hermite (TODO) - Gauss-Laguerre (TODO) N-dimensional - Monte Carlo (TODO) - Sparse ...
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear) ...
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