Titlebook: Optimization of Chemical Processes; A Sustainable Perspe José María Ponce-Ortega,Rogelio Ochoa-Barragán,Cés Textbook 2024 The Editor(s) (if

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https://doi.org/10.1007/978-3-031-57270-8Matlab; Python; Process Optimization; Chemical Engineering; Process Simulation; Linear Programming; Non-Li

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José María Ponce-Ortega,Rogelio Ochoa-Barragán,CésProvides a comprehensive overview of deterministic optimization.Includes real-world case studies, enriching theoretical understanding with practical applications.Demonstrates optimization techniques w

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Optimization Using the Software MATLAB,f this chapter, readers will gain proficiency in solving optimization problems through the implementation of MATLAB. The focus is on equipping readers with the skills to compose, execute, and troubleshoot code using MATLAB and its associated tools.

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Optimization Using the Software Phyton with Spyder,NumPy, Matplotlib, and GEKKO, which bolster optimization capabilities. These libraries enable efficient data handling, mathematical computations, and advanced optimization algorithms. The chapter focuses on formulating and representing optimization models using Python.

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Integer Programming,ms, presents practical examples of Mixed Integer Linear Programming (MILP) problems, and concludes with the implementation of these examples using computational tools, thereby providing a comprehensive view from theory to practical application.

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