"Introduction to the Network Approximation Method for Materials Modeling"

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Book	Author(s)	Year	Publisher
Introduction to the Network Approximation Method for Materials Modeling	Leonid Berlyand; Alexander G. Kolpakov; Alexei Novikov	2012-12	Cambridge University Press
The Best Approximation Method An Introduction	Theodore V. II Hromadka; Chung-Cheng Yen; George F. Pinder	1987	Springer Berlin Heidelberg
An Introduction to Network Modeling and Simulation for the Practicing Engineer	Jack L. Burbank; William Kasch; Jon Ward	2011	Wiley-IEEE Press
Introduction to approximation theory	Cheney, E. W.	1966	McGraw-Hill Book Co.
Introduction to Modeling for Biosciences	David J. Barnes; Dominique Chu	2010	Springer London
The method of differential approximation	I͡Uriĭ Ivanovich Shokin	1983	Springer-verlag
An approximation method for solving the sofa problem	Kiyoshi Maruyama	1971	Dept. of Computer Science, University of Illinois at Urbana-Champaign
A method of approximation	S. A. Corey	1906
An introduction to diophantine approximation	J. W. S. Cassels	1957	University Press
An Introduction to Diophantine Approximation	J. W. S. Cassels	1957	Cambridge University Press, Macmillan
An introduction to diophantine approximation	J. W. S. Cassels	1957	University Press
Gateway to Memory - Introduction to Neural Network Modeling of the Hippocampus and Learning	Gluck	2001	MIT
Introduction to legal method and process: cases and materials	Michael A. Berch; Rebecca White Berch; Ralph S. Spritzer	1985	West Pub. Co.
Introduction to Legal Method And Process: Cases and Materials	Michael A. Berch; Rebecca White Berch; Ralph S. Spritzer	July 5, 2006	Gale Cengage
Modeling and Tools for Network Simulation	Klaus Wehrle; Mesut Günes; James Gross	2010	Springer Berlin Heidelberg
An Introduction to the Approximation of Functions	Theodore J. Rivlin	February 1, 1981	Dover Publications
Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning	Mark A. Gluck, Catherine E. Myers	2000	The MIT Press
Gateway to memory: an introduction to neural network modeling of the hippocampus and learning /	Gluck, Mark A.; Myers, Catherine E.	©2001.	MIT Press,
Multiscale Materials Modeling for Nanomechanics	Christopher R. Weinberger; Garritt J. Tucker	1st ed. 2016	Springer International Publishing
Programming the approximation problem of network synthesis	Frederic E. Beck	1958	Naval Postgraduate School
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Introduction to Network System Modeling		Functional Structures in Networks: AMLn - A Language for Model Driven Development of Telecom Systems	Thomas G. Muth	2005	Springer Berlin Heidelberg
Approximation for Isotropic Materials	Rastko Stojanović	Nonlinear Thermoelasticity: Lectures Held at the Department of Mechanics of Solids July 1972	Rastko Stojanovic	1972	Springer Vienna
The Markov Chain Approximation Method: Introduction	Harold J. Kushner; Paul G. Dupuis	Numerical Methods for Stochastic Control Problems in Continuous Time	Harold Kushner; Paul G. Dupuis	1992	Springer New York
The Markov Chain Approximation Method: Introduction	Harold J. Kushner; Paul Dupuis	Numerical Methods for Stochastic Control Problems in Continuous Time	Harold Kushner; Paul G. Dupuis	2nd ed. 2001	Springer New York
The approximation method		Introduction to the Theory of Relativity	Peter G. Bergmann, Physics	1976	Dover Publications
approximation method		Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik	Helmut Herrmann; Herbert Bucksch	2nd ed. 2014	Springer Berlin Heidelberg
Neural Network Potentials in Materials Modeling	Matti Hellström; Jörg Behler	Handbook of Materials Modeling: Methods: Theory and Modeling	Wanda Andreoni; Sidney Yip	2nd ed. 2020	Springer International Publishing
Neural Network Potentials in Materials Modeling	Matti Hellström; Jörg Behler	Handbook of Materials Modeling: Methods: Theory and Modeling	Wanda Andreoni; Sidney Yip	0th ed. 2020	Springer International Publishing
A Neural Network Modeling Method for Batch Process	Yi Liu; XianHui Yang; Jie Zhang	Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II	Fuliang Yin; Jun Wang; Chengan Guo	2004	Springer Berlin Heidelberg
An Evolvement-Based Modeling Method for Logistics Network	Guo-rong Chen; Ju-li Deng; Qian Xiong; Jun Zou; Shan Huang	Fuzzy Information and Engineering Volume 2	Bingyuan Cao; Tai-Fu Li; Cheng-Yi Zhang	2009	Springer Berlin Heidelberg
The Bisection Method for Root Approximation		Numerical analysis	Steven T. Karris	2004	Orchard Publications
1: An Introduction to Neural Network Modeling		Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience	Randolph Parks; Daniel S. Levine; Debra L. Long	1998	MIT Press,
Artificial Neural Network for Approximation		Nonlinear and Distributed Circuits	Wai-Kai Chen	2005	CRC Press
Introduction to the method of referential network therapy		Autism spectrum disorder: perspectives from psychoanalysis and neuroscience	Susan P. Sherkow	2014	Jason Aronson
Newton’s Method for Fractal Approximation	Wm. Douglas Withers	Constructive Approximation: Special Issue: Fractal Approximation	Michael F. Barnsley	1989	Springer US
Newton's Method for Root Approximation		Numerical analysis	Steven T. Karris	2004	Orchard Publications
Modeling and approximation		Think Bayes: Bayesian Statistics in Python	Allen B. Downey	2013	O'Reilly Media
Modeling and approximation		Think Bayes: Bayesian Statistics in Python	Downey, Allen B	2013	O'Reilly Media
Modeling and approximation		Think Bayes: Bayesian Statistics in Python	Downey, Allen B	2013	O'Reilly Media
Modeling and approximation		Think Bayes	Allen Downey B.	2013	O'Reilly Media
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Showing 1 to 20 of 100 entries

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