Parametric Analysis in Architectural Practice by Victor Okhoya (.ePUB)
File Size: 251 MB
Parametric Analysis, Generative Design and Machine Learning in Architectural Practice by Victor Okhoya, Marcelo Bernal (Practical Revolutions)
Requirements: .ePUB reader, 251 mb
Overview: Let these cutting-edge tools revolutionize your architectural problem-solving
Recent technological advances, including rapid development of high-performance computing power, have produced computational tools for architects and designers that are swiftly revolutionizing the field. Two of these tools, parametric analysis and generative design, can be used together to model complex problems and test solutions with extraordinary speed and efficiency. The next generation of architects and designers will bring these tools to bear in a transformed professional landscape.
Parametric Analysis, Generative Design and Machine Learning in Architectural Practice offers a detailed introduction to these tools and their applications. Balancing theory and practice, it is replete with useful examples and provides algorithms for three different architectural scales: urban design, building design, and interior design. The book also presents a foundational discussion on machine learning in architectural practice, along with examples of machine learning applications for energy analysis and solar analysis. It is a must-own for architects looking to leverage an unprecedented level of computational power.
Genre: Non-Fiction > General
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