Numerical Linear Algebra With Julia
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Numerical Linear Algebra With Julia
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Author : Eric Darve
language : en
Publisher: SIAM
Release Date : 2021-09-02
Numerical Linear Algebra With Julia written by Eric Darve and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-02 with Mathematics categories.
Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. Julia code is provided to illustrate concepts and allow readers to explore methods on their own. Written in a friendly and approachable style, the book contains detailed descriptions of algorithms along with illustrations and graphics that emphasize core concepts and demonstrate the algorithms. Numerical Linear Algebra with Julia is a textbook for advanced undergraduate and graduate students in most STEM fields and is appropriate for courses in numerical linear algebra. It may also serve as a reference for researchers in various fields who depend on numerical solvers in linear algebra.
Numerical Linear Algebra With Julia
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Author : Eric Darve
language : en
Publisher:
Release Date : 2021-06
Numerical Linear Algebra With Julia written by Eric Darve and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06 with categories.
Numerical Linear Algebra
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Author : Folkmar Bornemann
language : en
Publisher: Springer
Release Date : 2018-01-29
Numerical Linear Algebra written by Folkmar Bornemann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Mathematics categories.
This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally – in an appendix – in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.
Algorithms With Julia
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Author : Clemens Heitzinger
language : en
Publisher: Springer Nature
Release Date : 2022-12-12
Algorithms With Julia written by Clemens Heitzinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Mathematics categories.
This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on machine learning (artificial neural networks and Bayesian estimation). JULIA is a relatively new programming language which has been developed with scientific and technical computing in mind. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system. Aimed at students of applied mathematics, computer science, engineering and bioinformatics, the book assumes only a basic knowledge of linear algebra and programming.
Practical Julia
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Author : Lee Phillips
language : en
Publisher: No Starch Press
Release Date : 2023-10-31
Practical Julia written by Lee Phillips and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.
Learn to use Julia as a tool for research, and solve problems of genuine interest—like modeling the course of a pandemic—in this practical, hands-on introduction to the language. The Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. Practical Julia is a comprehensive introduction to the language, making it accessible even if you’re new to programming. Dive in with a thorough guide to Julia’s syntax, data types, and best practices, then transition to craft solutions for challenges in physics, statistics, biology, mathematics, scientific machine learning, and more. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, Practical Julia will show you how. As you work through the book, you’ll: • Use comprehensions and generators, higher-level functions, array initialization and manipulation, and perform operations on Unicode text • Create new syntax and generate code with metaprogramming and macros, and control the error system to manipulate program execution • Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts • Elevate performance using Julia’s unique type system with multiple dispatch • Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing Whether your interest is in scientific research, statistics, mathematics, or just the fun of programming with Julia, Practical Julia will have you writing high-performance code that can do real work in no time. Online Resources: Ready-to-run code samples, illustrations, and supplemental animations available at https://julia.lee-phillips.org.
Linear Algebra For Data Science Machine Learning And Signal Processing
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Author : Jeffrey A. Fessler
language : en
Publisher: Cambridge University Press
Release Date : 2024-05-16
Linear Algebra For Data Science Machine Learning And Signal Processing written by Jeffrey A. Fessler and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
Master matrix methods via engaging data-driven applications, aided by classroom-tested quizzes, homework exercises and online Julia demos.
Programming With Julia
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-03
Programming With Julia written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.
"Programming with Julia" "Programming with Julia" is a comprehensive and insightful guide to mastering one of today’s most innovative high-performance programming languages. The book opens by exploring Julia’s origins, core design philosophies, and the breakthrough concepts—such as multiple dispatch, meta-programming, and homoiconicity—that distinguish Julia from traditional scientific computing tools. Through clear exposition and practical examples, readers gain a deep understanding of Julia’s syntax, flexible type system, and the expressiveness that empowers developers to write elegant, efficient, and maintainable code. Delving into the art and science of technical computing, the book presents advanced coverage of types, methods, and optimization strategies, equipping readers to harness Julia for performance-critical applications. Topics include memory layout optimization, benchmarking, parallelism (from threading and distributed computing to GPU acceleration), and software engineering best practices. Extensive chapters on numerical computing and data science illuminate Julia’s seamless integration with libraries like BLAS, LAPACK, and Flux, enabling robust workflows in machine learning, statistical modeling, and visualization. Beyond syntax and APIs, "Programming with Julia" places strong emphasis on building sustainable, production-quality software and contributing to the vibrant Julia ecosystem. Readers will discover patterns for large-scale project design, interoperability with C, Python, and R, and strategies for continuous integration, deployment, and package management. The final chapters provide a forward-looking perspective on Julia’s evolving compiler, community-driven governance, and the exciting frontiers ahead—making this book an indispensable resource for scientists, engineers, and developers seeking to leverage Julia’s full power.
Mastering The Art Of Julia Programming Advanced Techniques For Expert Level Programming
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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-16
Mastering The Art Of Julia Programming Advanced Techniques For Expert Level Programming written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-16 with Computers categories.
"Mastering the Art of Julia Programming: Advanced Techniques for Expert-Level Programming" is the definitive guide for seasoned developers seeking to elevate their proficiency in Julia. This book goes beyond conventional programming instruction, diving deeply into the intricacies of the Julia language. Through meticulously crafted chapters, readers will explore complex topics such as the type system, metaprogramming, performance optimization, and effective error handling. Each section is designed to build upon the last, offering a logical progression that ensures comprehensive understanding and mastery of advanced Julia concepts. This book equips readers with the practical skills necessary to apply advanced techniques in real-world scenarios. With an emphasis on pragmatic, hands-on learning, it presents readers with detailed examples and case studies, demonstrating how to implement high-performance solutions in diverse computational contexts. Whether it's developing sophisticated machine learning models, constructing robust concurrent applications, or optimizing mathematical computations, this guide presents strategies and tools that enable programmers to maximize their efficiency and creativity. "Mastering the Art of Julia Programming" is not only an invaluable resource for individual programmers but also an asset for teams and organizations looking to foster a deeper understanding of Julia's capabilities. It prepares developers to contribute meaningfully to the Julia ecosystem by providing insights into effective package development and management. This book is an essential addition to the libraries of forward-thinking developers who aim to leverage Julia's potential to its fullest, ensuring they are at the cutting edge of programming technology.
The Computer Algebra System Oscar
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Author : Wolfram Decker
language : en
Publisher: Springer Nature
Release Date : 2025-01-30
The Computer Algebra System Oscar written by Wolfram Decker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Mathematics categories.
This book presents version 1.0 of the new Computer Algebra System OSCAR. Written in Julia, OSCAR builds on and vastly extends four cornerstone systems: ANTIC for number theory, GAP for group and representation theory, polymake for polyhedral and tropical geometry, and Singular for commutative algebra and algebraic geometry. It offers powerful computational tools that transcend the boundaries of the individual disciplines involved. It is freely available, open source software. The book is an invitation to use OSCAR. With discussions of theoretical and algorithmic aspects included, it offers a multitude of explicit code snippets. These are valuable for interested researchers from graduate students through established experts.
Numerical Linear Algebra
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Author : Lloyd N. Trefethen
language : en
Publisher: SIAM
Release Date : 2022-06-17
Numerical Linear Algebra written by Lloyd N. Trefethen and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-17 with Mathematics categories.
Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.