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<title>Free Book City !!~~!!  www.freebookcity.com</title>
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<title>Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)</title>
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<description><![CDATA[<div id='news-id-2907'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)</b></div><!--colorend--></span><!--/colorend--><br /><br /> <div align="center"><img src="http://pic.avaxhome.ws/avaxhome/ca/5a/00095aca_medium.jpeg" style="border: none;" alt='Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)' title='Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)' /></div><br /><div align="center"><b><br />Latent Curve Models: A Structural Equation Perspective (Wiley Series in Probability and Statistics)<br />Wiley-Interscience | ISSN: 047145592X | 2005-12-23 | PDF | 312 Pages | 6,6 Mb</b><br /></div><br /><br />This volume represents a comprehensive treatment of a model sometimes referred to as latent curve or growth curve models. Latent Curve Models analyzes LTMs from the perspective of structural equation modeling (SEM) with latent variables. Although the authors discuss simple regression-based procedures that are helpful in the early stages of LTM, most of the presentation will use SEMs as a driving tool throughout the text.<br /><br /></div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Wed, 08 Oct 2008 18:24:57 +0330</pubDate>
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<title>Mathematical Discourse: Language, Symbolism And Visual Images</title>
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<description><![CDATA[<div id='news-id-2324'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Mathematical Discourse: Language, Symbolism And Visual Images</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-07-02/31ylALxnYiL.jpg_.jpg" style="border: none;" alt='Mathematical Discourse: Language, Symbolism And Visual Images' title='Mathematical Discourse: Language, Symbolism And Visual Images' /></div><br /><div align="center"><br /><b>Kay L. O'Halloran “Mathematical Discourse: Language, Symbolism And Visual Images" </b><br />Continuum International Publishing Group | 2005-01-30 | ISBN: 0826468578 | 226 pages | PDF | 11,7 MB <br /></div><br />This book develops a theory of mathematics as a multi-semiotic discourse from the perspective of M. A. K. Halliday's systemic functional linguistics. From this perspective mathematical discourse is seen to involve the use of the three semiotic resources of language, visual images and mathematical symbolism. These semiotic resources are considered as functional sign systems which are organised grammatically. O'Halloran suggests that mathematical texts represent specific semiotic choices from the available grammatical systems. From this she articulates the ways in which a social semiotic perspective can inform mathematics teaching and learning.<br /></div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Wed, 02 Jul 2008 22:59:56 +0430</pubDate>
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<title>Completeness Theory for Propositional Logics (Studies in Universal Logic)</title>
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<description><![CDATA[<div id='news-id-2196'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Completeness Theory for Propositional Logics (Studies in Universal Logic)</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-05-30/318Dq9YzRfL.jpg" style="border: none;" alt='Completeness Theory for Propositional Logics (Studies in Universal Logic)' title='Completeness Theory for Propositional Logics (Studies in Universal Logic)' /></div><br /><div align="center"><br /><b>Completeness Theory for Propositional Logics (Studies in Universal Logic)</b><br />Birkh&#228;user Basel | Pages: 178 | 2008 | ISBN: 3764385170 | 2 MB | PDF<br /></div><br />The book develops the theory of one of the most important notions in the methodology of formal systems. Particularly, completeness plays an important role in propositional logic where many variants of the notion have been defined. Global variants of the notion mean the possibility of getting all correct and reliable schemata of inference. Its local variants refer to the notion of truth given by some semantics. A uniform theory of completeness in its general and local meaning is carried out and it generalizes and systematizes some variety of the notion of completeness such as Post-completeness, structural completeness and many others. This approach allows also for a more profound view upon some essential properties (e.g. two-valuedness) of propositional systems. For these purposes, the theory of logical matrices, and the theory of consequence operations is exploited.<br /></div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Fri, 30 May 2008 20:38:08 +0430</pubDate>
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<title>Generalized Curvatures</title>
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<description><![CDATA[<div id='news-id-2148'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Generalized Curvatures</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-05-15/19.jpg" style="border: none;" alt='Generalized Curvatures' title='Generalized Curvatures' /></div><br /><div align="center"><br /><b>Jean-Marie Morvan “Generalized Curvatures" </b><br />Springer | 2008-06 | ISBN: 354073791X | 266 pages | PDF | 5,2 Mb <br /></div><br />The intent of this book is to set the modern foundations of the theory of generalized curvature measures. This subject has a long history, beginning with J. Steiner (1850), H. Weyl (1939), H. Federer (1959), P. Wintgen (1982), and continues today with young and brilliant mathematicians. In the last decades, a renewal of interest in mathematics as well as computer science has arisen (finding new applications in computer graphics, medical imaging, computational geometry, visualization …).<br /><br />Following a historical and didactic approach, the book introduces the mathematical background of the subject, beginning with curves and surfaces, going on with convex subsets, smooth submanifolds, subsets of positive reach, polyhedra and triangulations, and ending with surface reconstruction. We focus on the theory of normal cycle, which allows to compute and approximate curvature measures of a large class of smooth or discrete objects of the Euclidean space. We give explicit computations when the object is a 2 or 3 dimensional polyhedron.<br /><br />This book can serve as a textbook to any mathematician or computer scientist, engineer or researcher who is interested in the theory of curvature measures.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Thu, 15 May 2008 23:55:26 +0430</pubDate>
</item><item>
<title>Handbook of Dynamical Systems : Volume 1A</title>
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<description><![CDATA[<div id='news-id-2143'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Handbook of Dynamical Systems : Volume 1A</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-05-15/41BMXCK1ZXL.jpg_.jpg" style="border: none;" alt='Handbook of Dynamical Systems : Volume 1A' title='Handbook of Dynamical Systems : Volume 1A' /></div><br /><div align="center"><br /><b>B. Hasselblatt, A. Katok “Handbook of Dynamical Systems : Volume 1A" </b><br />North Holland | 2002-07-01 | ISBN: 0444826696 | 1236 pages | PDF | 53,5 Mb <br /></div><br />Volumes 1A and 1B.<br />These volumes give a comprehensive survey of dynamics written by specialists in the various subfields of dynamical systems. The presentation attains coherence through a major introductory survey by the editors that organizes the entire subject, and by ample cross-references between individual surveys.<br />The volumes are a valuable resource for dynamicists seeking to acquaint themselves with other specialties in the field, and to mathematicians active in other branches of mathematics who wish to learn about contemporary ideas and results dynamics. Assuming only general mathematical knowledge the surveys lead the reader towards the current state of research in dynamics.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Thu, 15 May 2008 22:58:47 +0430</pubDate>
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<title>The Mobius Strip: Dr. August Mobius&#039;s Marvelous Band in Mathematics, Games, Literature, Art, Technology, and Cosmology</title>
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<description><![CDATA[<div id='news-id-2124'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>The Mobius Strip: Dr. August Mobius's Marvelous Band in Mathematics, Games, Literature, Art, Technology, and Cosmology</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-04-29/51vmS7HKrVL.jpg_.jpg" style="border: none;" alt='The Mobius Strip: Dr. August Mobius&#039;s Marvelous Band in Mathematics, Games, Literature, Art, Technology, and Cosmology' title='The Mobius Strip: Dr. August Mobius&#039;s Marvelous Band in Mathematics, Games, Literature, Art, Technology, and Cosmology' /></div><br /><div align="center"><br /><b>Clifford A. Pickover, Clifford Pickover “The Mobius Strip: Dr. August Mobius's Marvelous Band in Mathematics, Games, Literature, Art, Technology, and Cosmology" </b><br />Basic Books | 2006-04-27 | ISBN: 1560258268 | 304 pages | Djvu | 3,4 Mb <br /></div><br />The road that leads from the M&#246;bius strip—a common-sense-defying continuous loop with only one side and one edge, made famous by the illustrations of M.C. Escher—goes to some of the strangest spots imaginable. It takes us to a place where the purely intellectual enters our daily world: where our outraged senses, overloaded with grocery bills, the price of gas, and what to eat for lunch, are expected to absorb really bizarre ideas. And no better guide to this weird universe exists than the brilliant thinker Clifford A. Pickover, the 21st century's answer to Buckminster Fuller. Come along as Pickover traces the origins of the M&#246;bius strip from the mid-1800s, when the visionary scientist Dr. August M&#246;bius became the first to describe the properties of one-sided surfaces, to the present, where it is an integral part of mathematics, magic, science, art, engineering, literature, and music. It has become a metaphor for change, strangeness, looping, and rejuvenation. Touching on everything from molecules and metal sculptures to postage stamps, architectural structures, and models of our entire universe, The M&#246;bius Strip is lavishly illustrated and gives readers a glimpse into other worlds and new ways of thinking as Pickover reaches across cultures and dimensions.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Sun, 04 May 2008 07:46:52 +0430</pubDate>
</item><item>
<title>Stochastic Processes</title>
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<description><![CDATA[<div id='news-id-2078'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Stochastic Processes</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-04-29/41B1W7JGPVL.jpg_.jpg" style="border: none;" alt='Stochastic Processes' title='Stochastic Processes' /></div><br /><div align="center"><br /><b>Sheldon M. Ross “Stochastic Processes" </b><br />Wiley | 1995-01 | ISBN: 0471120626 | 510 pages | PDF | 6,5 Mb <br /></div><br />A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems. This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments; a new chapter on Poisson approximations; and coverage of the mean time spent in transient states as well as examples relating to the Gibb's sampler, the Metropolis algorithm and mean cover time in star graphs. Numerous exercises and problems have been added throughout the text.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Wed, 30 Apr 2008 10:23:02 +0430</pubDate>
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<title>SAS for Forecasting Time Series</title>
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<description><![CDATA[<div id='news-id-2074'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>SAS for Forecasting Time Series</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-04-29/41FD4H2YECL_617.jpg" style="border: none;" alt='SAS for Forecasting Time Series' title='SAS for Forecasting Time Series' /></div><br /><div align="center"><br /><b>John C., Ph.D. Brocklebank, David A. Dickey “SAS for Forecasting Time Series" </b><br />SAS Publishing | 2003-04-18 | ISBN: 1590471822 | 420 pages | PDF | 5,3 Mb <br /></div><br />In this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX. They demonstrate the interrelationship of SAS/ETS procedures with a discussion of how the choice of a procedure depends on the data to be analyzed and the results desired. With this book, you will learn to model and forecast simple autoregressive (AR) processes using PROC ARIMA, and you will learn to fit autoregressive and vector ARMA processes using the STATESPACE and VARMAX procedures. Other topics covered include detecting sinusoidal components in time series models, performing bivariate cross-spectral analysis, and comparing these frequency-based results with the time domain transfer function methodology. New and updated examples in the second edition include retail sales with seasonality, ARCH models for stock prices with changing volatility, vector autoregression and cointegration models, intervention analysis for product recall data, expanded discussion of unit root tests and nonstationarity, and expanded discussion of frequency domain analysis and cycles in data.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Wed, 30 Apr 2008 10:10:47 +0430</pubDate>
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<title>Pattern Recognition</title>
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<description><![CDATA[<div id='news-id-2073'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Pattern Recognition</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-04-29/2180VY19RYL.jpg_.jpeg" style="border: none;" alt='Pattern Recognition' title='Pattern Recognition' /></div><br /><div align="center"><br /><b>Sergios Theodoridis, Konstantinos Koutroumbas “Pattern Recognition, Third Edition" </b><br />Academic Press | 2006-02-24 | ISBN: 0123695317 | 856 pages | PDF | 35,6 Mb <br /></div><br />A classic -- offering comprehensive and unified coverage with a balance between theory and practice! <br />Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition, audio classification, communications, computer-aided diagnosis, and data mining. The authors, leading experts in the field of pattern recognition, have once again provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. <br />Each chapter is designed to begin with basics of theory progressing to advanced topics and then discusses cutting-edge techniques. Problems and exercises are present at the end of each chapter with a solutions manual provided via a companion website where a number of demonstrations are also available to aid the reader in gaining practical experience with the theories and associated algorithms. <br />This edition includes discussion of Bayesian classification, Bayesian networks, linear and nonlinear classifier design (including neural networks and support vector machines), dynamic programming and hidden Markov models for sequential data, feature generation (including wavelets, principal component analysis, independent component analysis and fractals), feature selection techniques, basic concepts from learning theory, and clustering concepts and algorithms. This book considers classical and current theory and practice, of both supervised and unsupervised pattern recognition, to build a complete background for professionals and students of engineering.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Wed, 30 Apr 2008 10:08:19 +0430</pubDate>
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<title>Twenty-Four Hours of Local Cohomology</title>
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<description><![CDATA[<div id='news-id-2071'><!--colorstart:#009900--><span style="color:#009900"><!--/colorstart--><div align="center"><b>Twenty-Four Hours of Local Cohomology</b></div><!--colorend--></span><!--/colorend--><br /><br /><div align="center"><img src="http://pixhost.eu/avaxhome/avaxhome/2008-03-22/41P9F0rZNeL.jpg_.jpg" style="border: none;" alt='Twenty-Four Hours of Local Cohomology' title='Twenty-Four Hours of Local Cohomology' /></div><br /><div align="center"><br /><b>Srikanth B. Iyengar, Graham J. Leuschke, Anton Leykin, Claudia Miller, Ezra Miller “Twenty-Four Hours of Local Cohomology" </b><br />American Mathematical Society | 2007-12-06 | ISBN: 0821841262 | PDF | 282 pages | 1,7 Mb <br /></div><br />This book is aimed to provide an introduction to local cohomology which takes cognizance of the breadth of its interactions with other areas of mathematics. It covers topics such as the number of defining equations of algebraic sets, connectedness properties of algebraic sets, connections to sheaf cohomology and to de Rham cohomology, Gr&#246;bner bases in the commutative setting as well as for $D$-modules, the Frobenius morphism and characteristic $p$ methods, finiteness properties of local cohomology modules, semigroup rings and polyhedral geometry, and hypergeometric systems arising from semigroups. The book begins with basic notions in geometry, sheaf theory, and homological algebra leading to the definition and basic properties of local cohomology. Then it develops the theory in a number of different directions, and draws connections with topology, geometry, combinatorics, and algorithmic aspects of the subject.</div>]]></description>
<category><![CDATA[Mathematic ]]></category>
<dc:creator>free book city</dc:creator>
<pubDate>Tue, 29 Apr 2008 10:43:57 +0430</pubDate>
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