doi:j.jphysparis

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Date: 2009-08-25 07:33:43 Linear algebra Computational neuroscience Linear map Transformation Vector space Neural network Action Calculus of variations Mathematical optimization Algebra Mathematics Abstract algebra		doi:j.jphysparis Add to Reading List Source URL: www-sop.inria.fr Download Document from Source Website File Size: 1,45 MB Share Document on Facebook

	TENSOR PRODUCTS II KEITH CONRAD 1. Introduction Continuing our study of tensor products, we will see how to combine two linear maps M −→ M 0 and N −→ N 0 into a linear map M ⊗R N → M 0 ⊗R N 0 . This leads t DocID: 1uvru - View Document
	A Globally Convergent Algorithm for MAP Estimation in the Linear Model with Non-Gaussian Priors K. Kreutz-Delgado ∗ ECE Department Univ. of California San Diego La Jolla, CA 92093 DocID: 1tRv5 - View Document
	TOPOLOGICAL PRINCIPLES IN CARTOGRAPHY James P. Corbett ABSTRACT CHARACTER OF A MAP A map may be described as a linear graph embedded in a orientable, two-dimen sional manifold. A manifold, aside from being a two-dimensio DocID: 1rG6c - View Document
	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland DocID: 1rhNI - View Document
	Building a Successful Scalable Parallel Numerical Library: Lessons From the PETSc Library William D. Gropp www.cs.uiuc.edu/homes/wgropp DocID: 1rfn0 - View Document