Encyclopedia of Computational Neuroscience


Free Download Encyclopedia of Computational by Dieter Jäger, Ranu Jung
English | April 26, | ISBN: 107161004X | 3720 pages | | 544 Mb
The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the used in these abstract networks started permeating the methods and of neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. "Computational Neuroscience" emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, reference, updatable and containing linkouts and multimedia content whenever relevant.
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Computational Physics Simulation of Classical and Quantum Systems


Free Download Computational Physics: Simulation of and Systems by Philipp O. J. Scherer
English | (True) | 2010 | 319 Pages | ISBN : 3642139892 | 5.1 MB
This book encapsulates the coverage for a two-semester in computational physics. The first part introduces the basic while omitting proofs but demonstrating the algorithms by way of numerous experiments. The second part specializes in simulation of classical and quantum systems with instructive examples spanning many fields in physics, from a classical rotor to a quantum bit. All program examples are realized as applets ready to run in your browser and do not require any skills.
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Computational Fluid Dynamics


Free Download Fluid : An Introduction for Mechanical Engineering Students
English | 2025 | ISBN: 3031863720 | 304 Pages | (True) | 16 MB
This book introduces the basic of the Computational Fluid Dynamics (CFD) of single-phase and multiphase flows. While the opening chapter focuses on the key equations that are solved numerically using CFD codes, the intention is not just to show these equations, but also to present key ideas of the on which the formulations of these equations, and the analysis of other parts of the book, are based. Various approaches to the discretisation of conservation equations describing single-phase flows and the for solving the algebraic equations are demonstrated, including the details of some derivations usually omitted in classical textbooks. Also, the details of the SIMPLE algorithm is described. In contrast to most classical CFD books, this textbook also develops the basic principles of multiphase flows, including approaches to modelling spray formation and droplet dynamics, analyses of flow instabilities, and droplet heating and evaporation. Completing the coverage, approaches to modelling the in multicomponent droplets, including puffing and micro-explosion in composite droplets, are discussed and the modelling of thermal radiation transfer using CFD codes is treated.
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Computational Mathematics and Numerical Analysis


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English | 2025 | ISBN: 9819623782 | 376 Pages | (True) | 43 MB
This book represents the of the 3rd International Conference on Statistics, Applied Mathematics, and Science (CSAMCS ), held from November 10th to 12th, 2023 in Nanjing, , hosted by Nanjing University. This conference proceedings aims to encapsulate the essence of the conference by featuring papers that discuss topics such as Computational Mathematics and Numerical Analysis. It serves as a repository of research presented at CSAMCS 2023, highlighting the importance and relevance of these fields in tackling contemporary .
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Computational Intelligence in Machine Learning


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English | 2025 | ISBN: 9819643902 | 578 Pages | (True) | 28 MB
This book features selected from the International on Computational Intelligence in Machine Learning (ICCIML ). It covers the latest research trends and developments in various fields, including machine learning, smart , the Internet of Things (IoT), intelligence, cyber-physical systems, cybernetics, data science, neural networks, and , among others. The book also emphasizes the nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, , prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
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