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Learn Physics with Functional Programming: A Hands-On Guide to Exploring...
by Walck, Scott N. | PB | VeryGood
USD28,49
Aproximadamente24,32 EUR
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“Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ”... Más informaciónacerca del estado
En muy buen estado
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N.º de artículo de eBay:376485921679
Última actualización el 22 ago 2025 12:11:11 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- En muy buen estado
- Notas del vendedor
- Binding
- Paperback
- Weight
- 2 lbs
- Product Group
- Book
- IsTextBook
- No
- ISBN
- 9781718501669
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Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
1718501668
ISBN-13
9781718501669
eBay Product ID (ePID)
15057277941
Product Key Features
Book Title
Learn Physics with Functional Programming : a Hands-On Guide to Exploring Physics with Haskell
Number of Pages
648 Pages
Language
English
Publication Year
2023
Topic
Programming / Open Source, Physics / Electromagnetism, Physics / Mathematical & Computational, Physics / General
Genre
Computers, Science
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
35.1 Oz
Item Length
13.9 in
Item Width
7 in
Additional Product Features
Intended Audience
Trade
LCCN
2022-018706
Dewey Edition
23
Dewey Decimal
530.02855133
Table Of Content
Acknowledgments Introduction Part I: A Haskell Primer for Physicists Chapter 1: Calculating with Haskell Chapter 2: Writing Basic Functions Chapter 3: Types and Entities Chapter 4: Describing Motion Chapter 5: Working with Lists Chapter 6: Higher-Order Functions Chapter 7: Graphing Functions Chapter 8: Type Classes Chapter 9: Tuples and Type Constructors Chapter 10: Describing Motion in Three Dimensions Chapter 11: Creating Graphs Chapter 12: Creating Stand-Alone Programs Chapter 13: Creating 2D and 3D Animations Part II: Expressing Newtonian Mechanics and Solving Problems Chapter 14: Newton's Second Law and Differential Equations Chapter 15: Mechanics in One Dimension Chapter 16: Mechanics in Three Dimensions Chapter 17: Satellite, Projectile, and Proton Motion Chapter 18: A Very Short Primer on Relativity Chapter 19: Interacting Particles Chapter 20: Springs, Billiard Balls, and a Guitar String Part III: Expressing Electromagnetic Theory and Solving Problems Chapter 21: Electricity Chapter 22: Coordinate Systems and Fields Chapter 23: Curves, Surfaces, and Volumes Chapter 24: Electric Charge Chapter 25: Electric Field Chapter 26: Electric Current Chapter 27: Magnetic Field Chapter 28: The Lorentz Force Law Chapter 29: The Maxwell Equations Appendix: Installing Haskell Bibliography Index
Synopsis
Deepen your understanding of physics by learning to use the Haskell functional programming language. Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell. You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields. As you work your way through the book's numerous examples and exercises, you'll learn how to- Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic field Whether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics., Deepen your understanding of physics by learning to use the Haskell functional programming language. Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell. You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields. As you work your way through the book's numerous examples and exercises, you'll learn how to: Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equations Express fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equations Use higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) method Create graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic field Whether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics.
LC Classification Number
QC52.W34 2023
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