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Linear functional
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281	Adjoint operators Jon Claerbout A great many of the calculations we do in science and engineering are really matrix multiplication in disguise. The first goal of this chapter is to unmask the disguise by showing many exa Add to Reading List Source URL: www.reproducibility.org Language: English - Date: 2013-11-11 23:14:09 Operator theory Linear algebra Functional analysis Adjoint Conjugate transpose Hermitian adjoint Matrix Convolution Unbounded operator Algebra Mathematics Mathematical analysis
282	Prepared in cooperation with the USGS Ground Water Resources Program (GWRP) USGS National Water Quality Assessment Program (NAWQA) U.S. Department of Energy UCODE_2014, with New Capabilities to Add to Reading List Source URL: igwmc.mines.edu Language: English - Date: 2015-02-13 00:57:19 Scientific modeling Functional analysis Linear algebra Matrix theory Singular value decomposition Hydrus Control theory Parameter Markov chain Algebra Mathematics Numerical linear algebra
283	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2005-01-26 01:34:38 Multivariate statistics Linear algebra Numerical linear algebra Image processing Functional analysis Principal component analysis Singular value decomposition Image denoising Eigenface Algebra Mathematics Statistics
284	Department of Electrical and Computer Systems Engineering Technical Report MECSE Add to Reading List Source URL: www.ecse.monash.edu.au Language: English - Date: 2005-12-22 23:35:21 Linear algebra Projective geometry Transformation Matrices Functional analysis Homography Direct linear transformation Projection Kernel Algebra Mathematics Geometry
285	Microsoft PowerPoint - neumann Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-07-14 18:46:00 Matrix theory Functional analysis Numerical linear algebra Mathematical notation Summation N1 Extractor Singular value decomposition Matrix Algebra Mathematics Linear algebra
286	Scalable learning through linearithmic time kernel approximation techniques Johan von Tangen Sivertsen March 24, 2014 Abstract Add to Reading List Source URL: www.itu.dk Language: English - Date: 2014-03-28 07:27:25 Linear algebra Statistical classification Abstract algebra Operator theory Functional analysis Kernel trick Kernel Gaussian function Linear classifier Algebra Mathematics Machine learning
287	Modelit ElisabethdreefKN Culemborg + Add to Reading List Source URL: www.modelit.nl Language: English - Date: 2008-08-26 00:48:06 User interface techniques MATLAB Numerical linear algebra Cross-platform software Functional languages Command-line interface User interface Java R Software Computing Array programming languages
288	The Journal of Neuroscience, January 11, 2012 • 32(2):551–562 • 551 Behavioral/Systems/Cognitive Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-01-09 13:49:05 Statistics Learning Computational neuroscience Behaviorism Classical conditioning Experimental psychology Functional magnetic resonance imaging Temporal difference learning Linear regression Cognitive science Neuroscience Science
289	PDF Document Add to Reading List Source URL: cran.itam.mx Language: English - Date: 2010-10-28 06:44:47 Functional languages Econometrics Regression analysis R Array programming languages Ggplot2 Plot SAS Linear regression Statistics Software Mathematical software
290	An adaptive fast direct solver for boundary integral equations in two dimensions Add to Reading List Source URL: www.math.ucdavis.edu Language: English - Date: 2015-01-03 20:56:01 Matrix theory Numerical linear algebra Functional analysis Singular value decomposition Matrix Matrices Euclidean algorithm Orthogonal matrix Algebra Linear algebra Mathematics

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