Showing posts with label Computational. Show all posts
Showing posts with label Computational. Show all posts

Thursday, October 1, 2015

Computational Systems Toxicology (Repost)




Julia Hoeng, "Computational Systems Toxicology"


English | 2015 | ISBN-10: 1493927779 | 430 pages | pdf | 19 MB




This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment.




Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them.




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Wednesday, September 30, 2015

Computational Methods For PDE In Mechanics




Berardino D"Acunto, "Computational Methods For PDE In Mechanics"


English | 2004 | ISBN: 9812560378 | PDF | pages: 293 | 1,4 mb




This book provides a good introduction to modern computational methods for Partial Differential Equations in Mechanics. Finite-difference methods for parabolic, hyperbolic as well as elliptic partial differential equations are discussed.A gradual and inductive approach to the numerical concepts has been used, such that the presentation of the theory is easily accessible to upper-level undergraduate and graduate students. Special attention has been given to the applications, with many examples and exercises provided along with solutions. For each type of equation, physical models are carefully derived and presented in full details.



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Monday, September 14, 2015

Advances in Chemical Physics, New Methods in Computational Quantum Mechanics Volume 93 Edition




Advances in Chemical Physics, New Methods in Computational Quantum Mechanics by I. Prigogine


English | Apr. 25, 1996 | ISBN: 0471143219 | 817 Pages | PDF | 37 MB




The use of quantum chemistry for the quantitative prediction of molecular properties has long been frustrated by the technical difficulty of carrying out the needed computations. In the last decade there have been substantial advances in the formalism and computer hardware needed to carry out accurate calculations of molecular properties efficiently. These advances have been sufficient to make quantum chemical calculations a reliable tool for the quantitative interpretation of chemical phenomena and a guide to laboratory experiments. However, the success of these recent developments in computational quantum chemistry is not well known outside the community of practitioners. In order to make the larger community of chemical physicists aware of the current state of the subject, this self-contained volume of Advances in Chemical Physics surveys a number of the recent accomplishments in computational quantum chemistry. This stand-alone work presents the cutting edge of research in computational quantum mechanics. Supplemented with more than 150 illustrations, it provides evaluations of a broad range of methods, including: Quantum Monte Carlo methods in chemistry Monte Carlo methods for real-time path integration The Redfield equation in condensed-phase quantum dynamics Path-integral centroid methods in quantum statistical mechanics and dynamics Multiconfigurational perturbation theory-applications in electronic spectroscopy Electronic structure calculations for molecules containing transition metals And more Contributors to New Methods in Computational Quantum Mechanics KERSTIN ANDERSSON, Department of Theoretical Chemistry, Chemical Center, Sweden DAVID M. CEPERLEY, National Center for Supercomputing Applications and Department of Physics, University of Illinois at Urbana-Champaign, Illinois MICHAEL A. COLLINS, Research School of Chemistry, Australian National University, Canberra, Australia REINHOLD EGGER, Fakultat fur Physik, Universitat Freiburg, Freiburg, Germany ANTHONY K. FELTS, Department of Chemistry, Columbia University, New York RICHARD A. FRIESNER, Department of Chemistry, Columbia University, New York MARKUS P. FULSCHER, Department of Theoretical Chemistry, Chemical Center, Sweden K. M. HO, Ames Laboratory and Department of Physics, Iowa State University, Ames, Iowa C. H. MAK, Department of Chemistry, University of Southern California, Los Angeles, California PER-AKE Malmqvist, Department of Theoretical Chemistry, Chemical Center, Sweden MANUELA MERCHan, Departamento de Quimica Fisica, Universitat de Valencia, Spain LUBOS MITAS, National Center for Supercomputing Applications and Materials Research Laboratory, University of Illinois at Urbana-Champaign, Illinois STEFANO OSS, Dipartimento di Fisica, Universita di Trento and Istituto Nazionale di Fisica della Materia, Unita di Trento, Italy KRISTINE PIERLOOT, Department of Chemistry, University of Leuven, Belgium W. THOMAS POLLARD, Department of Chemistry, Columbia University, New York BJORN O. ROOS, Department of Theoretical Chemistry, Chemical Center, Sweden LUIS SERRANO-ANDRES, Department of Theoretical Chemistry, Chemical Center, Sweden PER E. M. SIEGBAHN, Department of Physics, University of Stockholm, Stockholm, Sweden WALTER THIEL, Institut fur Organische Chemie, Universitat Zurich, Zurich, Switzerland GREGORY A. VOTH, Department of Chemistry, University of Pennsylvania, Pennsylvania C. Z. Wang, Ames Laboratory and Department of Physics, Iowa State University, Ames, Iowa










Saturday, September 5, 2015

Anatomy Ontologies for Bioinformatics: Principles and Practice (Computational Biology) 2008th Edition




Anatomy Ontologies for Bioinformatics: Principles and Practice (Computational Biology) by Albert Burger


English | Dec. 6, 2007 | ISBN: 1846288843 | 356 Pages | PDF | 6 MB




This book provides a timely and first-of-its-kind collection of papers on anatomy ontologies. It is interdisciplinary in its approach, bringing together the relevant expertise from computing and biomedical studies. The book aims to provide readers with a comprehensive understanding of the foundations of anatomical ontologies and the-state-of-the-art in terms of existing tools and applications. It also highlights challenges that remain today.