國立高雄大學圖資館 |

Language: English

Back

Julia programming for physics applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Julia programming for physics applicationsby R. Gökhan Türeci, Hamdi Dağıstanlı, İlkay Türk Çakır.
Author:	Türeci, R. Gökhan.
other author:	Dağıstanlı, Hamdi.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xvii, 259 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Julia (Computer program language)
Online resource:	https://doi.org/10.1007/978-3-031-84716-5
ISBN:	9783031847165$q(electronic bk.)

Julia programming for physics applications
Türeci, R. Gökhan.

Julia programming for physics applications[electronic resource] /by R. Gökhan Türeci, Hamdi Dağıstanlı, İlkay Türk Çakır. - Cham :Springer Nature Switzerland :2025. - xvii, 259 p. :ill. (some col.), digital ;24 cm.

Chapter 1 Introduction -- Chapter 2 Variables and Operators -- Chapter 3 Loops and Conditional Situations -- Chapter 4 Plots in Julia -- Chapter 5 Symbolic Calculations in Julia -- Chapter 6 Data Frames -- Chapter 7 Julia Programming in Mechanical Applications -- Chapter 8 Julia Programming Applications in Electromagnetism -- Chapter 9 Julia Programming Applications in Waves -- Chapter 10 Julia Programming Applications in Modern Physics -- Chapter 11 Julia Programming Applications in Nuclear Physics -- Chapter 12 Julia Programming Applications in Solid State Physics -- Chapter 13 Julia Programming Applications in High Energy Physics -- Chapter 14 Julia Programming Applications in Astrophysics -- Chapter 15 Julia Programming Applications in Statistics.

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.

ISBN: 9783031847165$q(electronic bk.)

Standard No.: 10.1007/978-3-031-84716-5doiSubjects--Topical Terms:

797688
Julia (Computer program language)

LC Class. No.: QA76.73.J85

Dewey Class. No.: 005.133

Julia programming for physics applications
LDR:03978nmm a2200325 a 4500 001 678227
003 DE-He213
005 20250516130307.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031847165$q(electronic bk.)
020 $a 9783031847158$q(paper)
024 7 $a 10.1007/978-3-031-84716-5 $2 doi
035 $a 978-3-031-84716-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.J85
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 005.133 $2 23
090 $a QA76.73.J85 $b T934 2025
100 1 $a Türeci, R. Gökhan. $3 991666
245 1 0 $a Julia programming for physics applications $h [electronic resource] / $c by R. Gökhan Türeci, Hamdi Dağıstanlı, İlkay Türk Çakır.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xvii, 259 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1 Introduction -- Chapter 2 Variables and Operators -- Chapter 3 Loops and Conditional Situations -- Chapter 4 Plots in Julia -- Chapter 5 Symbolic Calculations in Julia -- Chapter 6 Data Frames -- Chapter 7 Julia Programming in Mechanical Applications -- Chapter 8 Julia Programming Applications in Electromagnetism -- Chapter 9 Julia Programming Applications in Waves -- Chapter 10 Julia Programming Applications in Modern Physics -- Chapter 11 Julia Programming Applications in Nuclear Physics -- Chapter 12 Julia Programming Applications in Solid State Physics -- Chapter 13 Julia Programming Applications in High Energy Physics -- Chapter 14 Julia Programming Applications in Astrophysics -- Chapter 15 Julia Programming Applications in Statistics.
520 $a 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.
650 0 $a Julia (Computer program language) $3 797688
650 0 $a Physics $x Data processing. $3 204880
650 1 4 $a Theoretical, Mathematical and Computational Physics. $3 376743
650 2 4 $a Programming Language. $3 913494
650 2 4 $a Mathematical and Computational Engineering Applications. $3 915034
650 2 4 $a Computational Physics and Simulations. $3 913439
650 2 4 $a Physics and Astronomy. $3 913434
700 1 $a Dağıstanlı, Hamdi. $3 991667
700 1 $a Türk Çakır, İlkay. $3 991668
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-84716-5
950 $a Physics and Astronomy (SpringerNature-11651)