Computational Physics - Problem Solving with Python

Fourth edition of a classic on computational physics with new chapters on data science, machine learning and general relativity, plus a plethora of supplementary materials.

Sommario

Preface
 
PART I. BASICS
Introduction
Software Basics
Errors & Uncertainties
Monte Carlo Simulations
Differentiation & Integration
Trial-and-Error Searching & Data Fitting
Matrix Computing and N-D Searching
Differential Equations & Nonlinear Oscillations
 
PART II. DATA SCIENCE
Fourier Analyses
Wavelet & Principal Components Analysis
Neural Networks & Machine Learning
Quantum Computing
 
PART III. APPLICATIONS
ODE Applications; Eigenvalues, Scattering, Trajectories
Fractals & Statistical Growth Models
Nonlinear Population Dynamics
Nonlinear Dynamics of Continuous Systems
Thermodynamics Simulations & Fenyman Path Integrals
Molecular Dynamics Simulations
General Relativity
Integral Equations
 
PART IV. PDE APPLICATIONS
PDE Review, Electrostatics & Relaxation
Heat Flow & Leapfrogging
String & Membrane Waves
Quantum Wave Packets & EM Waves
Shock & Soliton Waves
Fluid Hydrodynamics
Finite Element Electrostatics
 
Appendices
Index

Info autore

Rubin H. Landau, PhD, is Professor Emeritus in the Department of Physics at Oregon State University, Corvallis, Oregon, USA. In his long and distinguished research career he has been instrumental in the development of computational physics as a defined subject, and founded both the Computational Physics Degree Program and the Northwest Alliance for Computational Science and Engineering. Manuel J. Páez, PhD, is a Professor in the Department of Physics at the University of Antioquia in Medellin, Colombia. He teaches courses in both physics and programming, and he and Professor Landau have collaborated on pathbreaking computational physics investigations. Cristian C. Bordeianu, PhD, taught Physics and Computer Science at the Military College "Stefan cel Mare," Campulung Moldovenesc, Romania.

Dettagli sul prodotto

• Autori: Cristian Bordeianu, Cristian C. Bordeianu, Rubin H Landau, Rubin H. Landau, Manuel J Páez, Manuel J. Páez
• Editore: Wiley-VCH
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 20.03.2024
• EAN: 9783527414253
• ISBN: 978-3-527-41425-3
• Pagine: 592
• Dimensioni: 170 mm x 30 mm x 245 mm
• Peso: 1118 g
• Illustrazioni: 300 SW-Abb.
• Categorie: Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia; Statistik, Chemie, Physik, Informatik, Python (Programmiersprache), Künstliche Intelligenz, Artificial Intelligence, Mathematische Physik, computer science, chemistry, Physics, Computational Chemistry u. Molecular Modeling, Computational Chemistry & Molecular Modeling, Mathematical & Computational Physics, Rechnerunterstützung