Isbn: 9783031847158 - julia programming for physics applications (4 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2025

    3031847156 / 9783031847158

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    hardcover. Zustand: Very Good.

  • Sprache: Englisch

    Verlag: Springer, 2025

    3031847156 / 9783031847158

    • Hardcover

    Anbieter: Books From California, Simi Valley, CA, USABooks From California

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    hardcover. Zustand: Fine.

  • Sprache: Englisch

    Verlag: Springer, 2025

    3031847156 / 9783031847158

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Navigating the realm where physics intersects with programming, this book serves as an indispensable guide for students embarking on their journey with Julia. Whether it is plotting equations or analyzing experimental data, mastering computational tools is essential for unraveling the complexities of physical phenomena. Julia, an open-source programming language, emerges as the bridge between simplicity and efficiency.While Python, another open-source language, offers user-friendly syntax, its line-by-line execution often leads to sluggish performance. Julia, however, embodies the ethos of being 'as easy as Python but as fast as C/C++,' tailored specifically for scientific computing with ongoing developmental enhancements. Notably, Microsoft's AI assistant Copilot is crafted in Julia, showcasing its versatility and adaptability.Within these pages, readers encounter cutting-edge research illustrating Julia's prowess across diverse domains. From streamlined code composition facilitated by modular architecture to the integration of artificial intelligence and graphical visualization, this book illuminates Julia's multifaceted applications. It notably avoids delving into AI algorithms, instead focusing on equipping readers with foundational Julia skills applicable to physics problem-solving.Julia boasts an extensive library ecosystem tailored for scientific computing, empowering users with tools for tasks ranging from differential equation solving to statistical analysis. Its robust support for parallel processing enables swift computations on multi-core systems, a crucial asset for handling voluminous datasets with finesse.Starting with a primer on Julia fundamentals, the book gradually transitions to practical applications across various physics subdomains. From nuclear physics to high-energy phenomena, each chapter offers hands-on exercises that cement comprehension and foster proficiency in employing computational methods to unravel complex physical phenomena.Designed as a precursor to deeper explorations into AI applications within scientific realms, this book lays the groundwork for harnessing Julia's capabilities in physics-centric contexts. …

  • Sprache: Englisch

    Verlag: Springer Nature, 2025

    3031847156 / 9783031847158

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    Hardcover. Zustand: Brand New. 500 pages. 9.25x6.10x9.21 inches. In Stock.