Numerical Methods In Chemical Process Engineering Using Python Tools For Modeling Simulation And Optimization (Hector Jorquera, Claudio A. Gelmi)

Numerical Methods In Chemical Process Engineering Using Python Tools For Modeling Simulation And Optimization (Hector Jorquera, Claudio A. Gelmi)

Numerical Methods in Chemical Process Engineering Using Python
by Hector Jorquera, Claudio A. Gelmi

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ISBN:Publisher: Springer Nature Switzerland • Year: 2027
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🌐 [color=#55acee]Language: English
📄 [color=#44bb44]Pages: 270

📋 [color=#ff9900]INFO: English | 2026 | ISBN: 303222957X | 270 Pages | PDF EPUB (True) | 41 MB

📝 [color=#888888]DESCRIPTION: The book begins with numerical linear algebra, which is essential for solving large systems of equations, and continues with nonlinear equations, a cornerstone for modeling equilibrium and reaction kinetics. Ordinary differential equations are then addressed, covering both initial value and boundary value problems, with an emphasis on their role in describing dynamic behavior and transport phenomena. The section concludes with partial differential equations, which are fundamental for capturing spatial and temporal variations in heat, mass, and momentum transfer.

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📌 978-3-032-22958-8.epub (Hector Jorquera, Claudio A. Gelmi) (2027) (28.2 MB)
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