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Medientyp: Buch Titel: Computational Physics : Problem Solving with Python Enthält: 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 Beteiligte: Landau, Rubin H. [VerfasserIn]; Bordeianu, Cristian C. [VerfasserIn]; Páez, Manuel J. [VerfasserIn] Erschienen: Berlin: Wiley-VCH Verlag GmbH, 2024 Umfang: 592 Seiten Sprache: Englisch ISBN: 9783527414253 Schlagwörter: COMPUTERS / Programming Languages / General ; Engineering: general ; Ingenieurswesen, Maschinenbau allgemein ; Materials science ; Materialwissenschaft ; Physics ; Physik ; Programmier- und Skriptsprachen, allgemein ; Programming & scripting languages: general ; SCIENCE / Mathematical Physics ; SCIENCE / Physics ; TECHNOLOGY & ENGINEERING / Engineering (General) ; TECHNOLOGY & ENGINEERING / Material Science Entstehung: Anmerkungen: Beschreibung: 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 Erwerbungsstatus: bestellt