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 Free Download Computational Physiology: Simula Summer School 2023 − Student Reports by Kimberly J. McCabe English | PDF (True) | 2024 | 120 Pages | ISBN : 3031531442 | 8.9 MB This volume compiles student reports from the 2023 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions.  Free Download Computational Partial Differential Equations: Numerical Methods and Diffpack Programming by Hans Petter Langtangen English | PDF | 1999 | 704 Pages | ISBN : N/A | 65 MB During the last decades there has been a tremendous advancement of com puter hardware, numerical algorithms, and scientific software. Engineers and scientists are now equipped with tools that make it possible to explore real world applications of high complexity by means of mathematical models and computer simulation. Experimentation based on numerical simulation has become fundamental in engineering and many of the traditional sciences. A common feature of mathematical models in physics, geology, astrophysics, mechanics, geophysics, as weH as in most engineering disciplines, is the ap pearance of systems of partial differential equations (PDEs). This text aims at equipping the reader with tools and skills for formulating solution methods for PDEs and producing associated running code. Successful problem solving by means of mathematical models inscience and engineering often demands a synthesis of knowledge from several fields. Besides the physical application itself, one must master the tools of math ematical modeling, numerical methods, as weH as software design and im plementation. In addition, physical experiments or field measurements might play an important role in the derivation and the validation of models. This book is written in the spirit of computational sciences as inter-disciplinary activities. Although it would be attractive to integrate subjects like mathe matics, physics, numerics, and software in book form, few readers would have the necessary broad background to approach such a text.  Free Download Computational Nanomedicine and Nanotechnology: Lectures with Computer Practicums By Renat R. Letfullin, Thomas F. George English | PDF | 2016 | 697 Pages | ISBN :3319435752 | 92.7 MB This textbook, aimed at advanced undergraduate and graduate students, introduces the basic knowledge required for nanomedicine and nanotechnology, and emphasizes how the combined use of chemistry and light with nanoparticles can serve as treatments and therapies for cancer.  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The development of new methods and the increase of computer power have opened up enormously the reliability of the calculations in this field, and a number of research groups from around the world have seized this opportunity to expand enormously the range of applications. This text collects a good part of their work.  Free Download Computational Modeling and Problem Solving in the Networked World: Interfaces in Computer Science and Operations Research by Hemant K. Bhargava, Nong Ye English | PDF | 2003 | 322 Pages | ISBN : 1402072953 | 28.6 MB This book is a compilation of a selected subset of research articles presented at the Eighth INFORMS Computing Society Conference, held in Chandler, Arizona, from January 8 to 10, 2003. The articles in this book represent the diversity and depth of the interface between ORiMS (operations research and the management sciences) and CS/AI (computer science and artificial intelligence ). This volume starts with two papers that represent the reflective and integrative thinking that is critical to any scientific discipline.  Free Download Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications by Ajoy K. Palit , Dobrivoje Popovic English | PDF | 2005 | 382 Pages | ISBN : 1852339489 | 3.2 MB Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the time and computational effort required. The advent of soft computing tools offers a solution.  Free Download Computational Intelligence in Machine Learning: Proceedings of the 2nd International Conference ICCIML 2022 by Vinit Kumar Gunjan, Amit Kumar, Jacek M. Zurada, Sri Niwas Singh English | EPUB (True) | 2024 | 686 Pages | ISBN : 9819979536 | 125.3 MB This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.  Free Download Computational Biology: Unix/Linux, Data Processing and Programming by Röbbe Wünschiers English | PDF (True) | 2004 | 291 Pages | ISBN : 354021142X | 2.8 MB A shift in culture Only a decade ago, the ?rst thing a molecular biologist would have had to learn when he or she started the lab work was how to handle pipettes, extract DNA, useenzymesandcloneagene. Now,the?rstthing thatheorsheshould learn is how to handle databases and to extract all the information that is already known about the gene that he or she wants to study. In all likelihood, he or she will ?nd that the gene has already been sequenced from several organisms, that it was recovered in a variety of EST projects, that expression data are available from microarray and SAGE studies, that it was included in linkage studies, that proteomics data are rapidly accumulating, that lists of interacting proteins are being compiled, that domain structure data are available and that it is part of a network of genetic interactions which is intensively modelled. He or she will discover that all this information resides in many di?erent databases with di?erent data formats and with di?erent levels of analyses and linking. Starting to work on this gene will make sense only, if all this information is put together in a project-speci?c manner and set into the context of what is known about related genes and processes. At this point he or she may decide to walk up to the bioinformatics group in house and ask for help with arranging the data in a useful manner.  Free Download Computability, Complexity, and Languages: Fundamentals of Theoretical Computer Science (Computer Science and Scientific Computing) by Martin Davis, Ron Sigal, Elaine J. Weyuker English | February 17, 1994 | ISBN: 0122063821 | 609 pages | EPUB | 11 Mb Computability, Complexity, and Languages is an introductory text that covers the key areas of computer science, including recursive function theory, formal languages, and automata. It assumes a minimal background in formal mathematics. The book is divided into five parts: Computability, Grammars and Automata, Logic, Complexity, and Unsolvability.Computability theory is introduced in a manner that makes maximum use of previous programming experience, including a "universal" program that takes up less than a page.The number of exercises included has more than tripled.Automata theory, computational logic, and complexity theory are presented in a flexible manner, and can be covered in a variety of different arrangements. |
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