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A first guide to computational modelling in physics

  1. Title statementA first guide to computational modelling in physics / Paweł Scharoch, Maciej P. Polak, Radosław Szymon ; software developed by Katarzyna Hołodnik-Małecka
    Personal name Scharoch, Paweł, 1956- (Author)
    Edition statementFirst published
    PublicationCambridge ; New York ; Port Melbourne ; New Delhi ; Singapore : Cambridge University Press, 2024
    Phys.des.xix, 109 stran : ilustrace, grafy
    ISBN978-1-009-41310-7 (brožováno)
    Internal Bibliographies/Indexes NoteObsahuje bibliografické odkazy a rejstřík
    Another responsib. Polak, Maciej P., 1992- (Author)
    Szymon, Radosław, 1998- (Author)
    Hołodnik-Małecka, Katarzyna (Other)
    Subj. Headings matematické modely mathematical models * matematická fyzika mathematical physics * numerické modelování numerical modeling
    Form, Genre učebnice vysokých škol textbooks (higher)
    Conspect53 - Fyzika
    37.016 - Učební osnovy. Vyučovací předměty. Učebnice
    UDC 519.673 , 53:51-7 , 519.876.5 , (075.8)
    CountryVelká Británie ; Spojené státy americké ; Austrálie ; Indie ; Singapur
    Languageangličtina
    Document kindBooks
    View book information on page www.obalkyknih.cz

    book

    Call numberBarcodeLocationSublocationInfo
    520/279 (KUP)3139330899ZbrojniceÚstřední knihovna UP - fyzikaIn-Library Use Only
    A first guide to computational modelling in physics

    "This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering."--Nakladatelská anotace

Number of the records: 1  

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