Feel the pulse of temperature shifting through metal, soil, and living matter—then command it with code. This definitive textbook fuses rigorous thermal science with modern Python programming, equipping you to:
• Grasp Core Physics – Energy conservation, thermal conductivity, and transient conduction distilled into clear, intuitive explanations.
• Conquer Analytical Techniques – Separation of variables, Laplace transforms, Green’s functions, and error-function solutions presented step-by-step.
• Master Numerical Power – Build and compare explicit, implicit, Crank-Nicolson, finite-element, and finite-volume solvers with fully annotated NumPy/SciPy scripts.
• Bridge Theory to Practice – Apply models to cooling fins, multilayer composites, geothermal probes, and food processing with real engineering data sets.
• Accelerate Learning – 120+ worked examples, exercise sets, and Python code turn abstract equations into interactive insight.
• Optimize Designs – Leverage dimensional analysis, Biot/Fourier numbers, and parameter sweeps to guide material selection and geometry decisions.
• Future-Proof Your Skills – Modular code snippets integrate seamlessly with CFD workflows, machine-learning pipelines, and HPC clusters.
Whether you’re a mechanical engineer tightening heat-exchanger specs, a physicist probing transient diffusion, or a data scientist expanding into scientific computing, this hands-on guide delivers the complete toolbox for solving and simulating heat transfer problems—fast, accurately, and confidently.
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Paperback. Condición: new. Paperback. Feel the pulse of temperature shifting through metal, soil, and living matter-then command it with code. This definitive textbook fuses rigorous thermal science with modern Python programming, equipping you to: - Grasp Core Physics - Energy conservation, thermal conductivity, and transient conduction distilled into clear, intuitive explanations.- Conquer Analytical Techniques - Separation of variables, Laplace transforms, Green's functions, and error-function solutions presented step-by-step.- Master Numerical Power - Build and compare explicit, implicit, Crank-Nicolson, finite-element, and finite-volume solvers with fully annotated NumPy/SciPy scripts.- Bridge Theory to Practice - Apply models to cooling fins, multilayer composites, geothermal probes, and food processing with real engineering data sets.- Accelerate Learning - 120+ worked examples, exercise sets, and Python code turn abstract equations into interactive insight.- Optimize Designs - Leverage dimensional analysis, Biot/Fourier numbers, and parameter sweeps to guide material selection and geometry decisions.- Future-Proof Your Skills - Modular code snippets integrate seamlessly with CFD workflows, machine-learning pipelines, and HPC clusters.Whether you're a mechanical engineer tightening heat-exchanger specs, a physicist probing transient diffusion, or a data scientist expanding into scientific computing, this hands-on guide delivers the complete toolbox for solving and simulating heat transfer problems-fast, accurately, and confidently. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798281604635
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Paperback. Condición: new. Paperback. Feel the pulse of temperature shifting through metal, soil, and living matter-then command it with code. This definitive textbook fuses rigorous thermal science with modern Python programming, equipping you to: - Grasp Core Physics - Energy conservation, thermal conductivity, and transient conduction distilled into clear, intuitive explanations.- Conquer Analytical Techniques - Separation of variables, Laplace transforms, Green's functions, and error-function solutions presented step-by-step.- Master Numerical Power - Build and compare explicit, implicit, Crank-Nicolson, finite-element, and finite-volume solvers with fully annotated NumPy/SciPy scripts.- Bridge Theory to Practice - Apply models to cooling fins, multilayer composites, geothermal probes, and food processing with real engineering data sets.- Accelerate Learning - 120+ worked examples, exercise sets, and Python code turn abstract equations into interactive insight.- Optimize Designs - Leverage dimensional analysis, Biot/Fourier numbers, and parameter sweeps to guide material selection and geometry decisions.- Future-Proof Your Skills - Modular code snippets integrate seamlessly with CFD workflows, machine-learning pipelines, and HPC clusters.Whether you're a mechanical engineer tightening heat-exchanger specs, a physicist probing transient diffusion, or a data scientist expanding into scientific computing, this hands-on guide delivers the complete toolbox for solving and simulating heat transfer problems-fast, accurately, and confidently. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798281604635
Cantidad disponible: 1 disponibles
Librería: Rarewaves.com UK, London, Reino Unido
Paperback. Condición: New. Nº de ref. del artículo: LU-9798281604635
Cantidad disponible: Más de 20 disponibles