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Gradient analysis
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321	Chapter 6 Line Integrals A basic problem in higher dimensions is the following. Suppose we are given a function (scalar field) g on Rn and a bounded curve C in Rn , can one define a suitable integral of g over C? We can Add to Reading List Source URL: math.caltech.edu Language: English - Date: 2010-05-05 16:03:01 Vector calculus Complex analysis Integral calculus Line integral Fundamental theorem of calculus Closed and exact differential forms Vector field Gradient Trigonometric functions Mathematical analysis Calculus Mathematics
322	Package ‘optimx’ November 13, 2014 Version[removed]Date[removed]Title A Replacement and Extension of the optim() Function Author John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-13 02:42:47 Operations research BFGS method Limited-memory BFGS Quasi-Newton method Nelder–Mead method Nonlinear conjugate gradient method Hessian matrix Gradient method Line search Numerical analysis Mathematical analysis Mathematical optimization
323	Suppplementary Information: “Mechanical oscillation and cooling actuated by the optical gradient force” Qiang Lin, Jessie Rosenberg, Xiaoshun Jiang, Kerry Vahala, Oskar Painter∗ Thomas J. Watson, Sr., Laboratory of Add to Reading List Source URL: copilot.caltech.edu Language: English - Date: 2009-10-19 13:24:54 Scattering Waves Continuous function Physics Mathematical analysis Resonance
324	An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Convex analysis Convex optimization Homotopy Linear programming Convex function Least squares Mathematical optimization Mathematical analysis Operations research
325	Model-based Boosting in R A Hands-on Tutorial Using the R Package mboost Benjamin Hofner∗† Andreas Mayr† Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Econometrics Decision trees Actuarial science Gradient boosting Boosting Linear regression Least squares Generalized linear model Multicollinearity Statistics Regression analysis Ensemble learning
326	Neural Networks[removed]–1451 www.elsevier.com/locate/neunet The general inefficiency of batch training for gradient descent learning D. Randall Wilsona,, Tony R. Martinezb,1 Add to Reading List Source URL: axon.cs.byu.edu Language: English* - Date: 2004-09-07 12:33:44 Numerical analysis Backpropagation Perceptron Gradient descent Reinforcement learning Gradient Multilayer perceptron Stochastic gradient descent Neural networks Machine learning Mathematics
327	mboost Illustrations Torsten Hothorn1 and Peter B¨ uhlmann2 1 Institut f¨ Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Linear regression Logistic regression Proportional hazards models Gradient boosting Least squares Boosting Cross-validation Linear least squares Bootstrapping Statistics Regression analysis Akaike information criterion
328	Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai Shalev-Shwartz School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel Tong Zhang Department of S Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Mathematical optimization Stochastic optimization Stochastic gradient descent Convex optimization Support vector machine Duality Lp space Distribution Vector space Algebra Mathematics Mathematical analysis
329	Full waveform inversion by deconvolution gradient method Fuchun Gao, Paul Williamson, Henri Houllevigue, Total), 2012 Lei Fu Rice University Add to Reading List Source URL: www.trip.caam.rice.edu Language: English* - Date: 2012-11-26 10:32:15 Mathematical optimization Regression analysis Numerical linear algebra Deconvolution Gradient descent Gauss–Newton algorithm Gradient method ESCI Numerical analysis Signal processing Least squares
330	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-11-02 06:13:04 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis

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