Newton's method - PDFSEARCH.IO - Document Search Engine

Newton's method
Results: 16

#	Item
1	Symposium on Theoretical Aspects of Computer ScienceBordeaux), ppwww.stacs-conf.org CONVERGENCE THRESHOLDS OF NEWTON’S METHOD FOR MONOTONE POLYNOMIAL EQUATIONS JAVIER ESPARZA, STEFAN KIEFER, AND MICHAE Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2008-02-05 05:36:53
2	14. Logistic Regression and Newton’s Method, Advanced Data Analysis 15 March 2011 Reading: Faraway, Chapter 2, omitting sections 2.11 andContents Add to Reading List Source URL: www.stat.cmu.edu - Date: 2011-03-15 23:39:04
3	25 Documenta Math. A Short History of Newton’s Method Peter Deuflhard Add to Reading List Source URL: www.math.uiuc.edu - Date: 2012-07-25 10:24:28
4	Computational Science and Engineering (Int. Master’s Program) ¨ Technische Universit¨at Munchen Master’s thesis in Computational Science and Engineering Add to Reading List Source URL: www5.in.tum.de Language: English Numerical analysis Mathematics Numerical linear algebra Mathematical analysis Preconditioner Iterative method Truncated Newton method Conjugate gradient method BroydenFletcherGoldfarbShanno algorithm Mathematical optimization Backpropagation GaussNewton algorithm
5	Logistic Regression and Newton’s Method, Data Mining 18 November 2009 Readings in textbook: Sectionslogistic regression), sections 8.1 and 8.3 (optimization), andgeneralized linear models). Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2009-11-20 15:55:57
6	Newton’s Method Steve Smale The expression is a mathematical description of Newton’s Method. Long before Newton, the concept already was used by the Greeks for finding the square root of a positive number. Since Newt Add to Reading List Source URL: www.gregkucera.com Language: English - Date: 2015-01-07 20:36:16 Applied mathematics Polynomial Computational complexity theory NP-complete Fundamental theorem of algebra Algorithm Carl Friedrich Gauss NP P Mathematics Theoretical computer science Complexity classes
7	New Quasi-Newton Methods for Efficient Large-Scale Machine Learning S.V. N. Vishwanathan Joint work with Nic Schraudolph, Simon Günter, Jin Yu, Peter Sunehag, and Jochen Trumpf National ICT Australia and Australian Nati Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2009-08-21 20:36:33 BFGS method Hessian matrix Mathematical analysis Mathematics Quasi-Newton method
8	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Greedy Sparsity-Constrained Optimization Bahmani, S.; Raj, B.; Boufounos, P.T. Add to Reading List Source URL: www.merl.com Language: English - Date: 2013-07-15 07:04:10 Econometrics Mathematical optimization Least squares Interior point method Linear regression Gradient descent Sparse approximation Orthant-wise limited-memory quasi-Newton Statistics Numerical analysis Regression analysis
9	Nonlinear Equations and Newton’s Method Pseudo-Transient Continuation (Ψtc ) Constrained Ψtc Projected Ψtc Theory Examples Conclusions Add to Reading List Source URL: www.csm.ornl.gov Language: English - Date: 2008-11-13 07:53:12 Laws of science Cognition Numerical continuation Dynamical systems Numerical analysis Nonlinear system
10	THE LAGRANGIAN So far, you have used Newton’s Laws to find the equations of motion for a system. The Lagrangian method is an alternative for finding the equations of motion. The Lagrangian is defined as: L=T–V where Add to Reading List Source URL: faculty.gvsu.edu Language: English - Date: 2013-11-26 08:58:15 Hamiltonian mechanics Calculus of variations Lagrangian mechanics Lagrangian Generalized coordinates Equations of motion Monogenic system Physics Dynamical systems Classical mechanics

UPDATE