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Stochastic differential equations
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121	DIFFUSION MAPS, REDUCTION COORDINATES AND LOW DIMENSIONAL REPRESENTATION OF STOCHASTIC SYSTEMS R.R. COIFMAN∗ , I.G. KEVREKIDIS† , S. LAFON∗‡ , M. MAGGIONI∗§ , AND B. NADLER¶ Abstract. The concise representati Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-05-18 11:16:51 Stochastic processes Statistical mechanics Equations Differential equations Multivariable calculus Stochastic differential equation Partial differential equation Laplace operator Hilbert space Mathematical analysis Calculus Mathematics
122	2013 Math Wrangle Solutions MAA American Mathematics Competitions SIGMAA Math Circles for Students and Teachers January 12, 2013 1. Let T and B be the points where the circle meets PM and AP, re Add to Reading List Source URL: sigmaa.maa.org Language: English - Date: 2013-07-30 15:43:13 Mathematics Stochastic differential equations Operator theory Wave equation Heat equation Mathematical analysis Calculus Area
123	The Journal Volume 2/2, DecemberA peer-reviewed, open-access publication of the R Foundation Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2010-12-30 17:20:09 Differential calculus Ordinary differential equations Numerical analysis Dynamical systems Differential algebraic equation Numerical methods for ordinary differential equations Partial differential equation Stochastic differential equation Backward differentiation formula Calculus Mathematical analysis Differential equations
124	AM 255: Problem Set 6 Douglas Lanman 5 December 2006 Problem 1 Consider the following initial value problem. Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-12-04 19:47:46 Ordinary differential equation Differential equations Finite difference Logarithm Crank–Nicolson method Heat equation Stochastic differential equation Mathematical analysis Calculus Mathematics
125	Estimating Structural TFP Growth as a Latent Variable Evidence from the NBER Manufacturing Productivity Database BART HOBIJN Department of Economics, New York University Add to Reading List Source URL: www.iioa.org Language: English - Date: 2007-10-09 05:36:05 Total factor productivity Kalman filter Normal distribution Cybernetics Systems theory Statistics Stochastic differential equations Differential equation
126	EN 257: Applied Stochastic Processes Problem Set 1 Douglas Lanman [removed] 2 February 2007 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2007-02-09 13:44:18 Ordinary differential equations Expected value Probability density function Dirac delta function Random variable Quantities of information Mutual information Mathematical analysis Mathematics Probability theory
127	The Nature of Mathematical Modeling Neil Gershenfeld PUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGE The Pitt Building, Trumpington Street, Cambridge CB2 1RP, United Kingdom Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-02-03 21:39:33 Differential equations Partial differential equations Mathematical optimization Ordinary differential equation Nonlinear system Mathematical model Finite element method Least squares Stochastic differential equation Calculus Mathematics Mathematical analysis
128	MULTIPLE TARGETS DETECTION AND LOCALIZATION BASED ON BLIND ESTIMATION IN WIRELESS SENSOR NETWORK Peng Zhang1, Xiaoyong Deng1, Huimin Wen1 and Jifu Guo1 1 Add to Reading List Source URL: www.bjtrc.org.cn Language: English - Date: 2012-02-20 20:33:17 Matrix theory Markov processes Itō diffusion Mathematics Representation theory of finite groups Matrix Stochastic differential equations Markov models
129	EN 257: Applied Stochastic Processes Problem Set 8 Douglas Lanman [removed] 9 May 2007 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2007-05-08 23:10:39 Stochastic calculus Differential equations Stochastic differential equation Cross-covariance Statistics Probability theory Stochastic processes
130	19 Filtering and State Estimation Our study of estimating parameters from observations has presumed that there are unchanging parameters to be estimated. For many (if not most) applications this is not so: not only are Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-29 10:51:08 Signal processing Cybernetics Stochastic differential equations Linear filters Robot control Kalman filter State observer Filtering problem Symmetry-preserving filter Estimation theory Statistics Control theory

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