"Response Surface Methods: Theory, Applications and Optimization Techniques" ed. by Valter Silva, João Sousa Cardoso
ITexLi | 2024 | ISBN: 0854667660 9780854667666 0854667679 9780854667673 0854667687 9780854667680 | 98 pages | PDF | 10 MB
ITexLi | 2024 | ISBN: 0854667660 9780854667666 0854667679 9780854667673 0854667687 9780854667680 | 98 pages | PDF | 10 MB
With this book one can unlock the full potential of experimental designs. This comprehensive guide delves into the complexity of Response Surface Methodology (RSM), offering both foundational theories and cutting-edge applications. This book provides novices and experienced practitioners with the tools and knowledge required to optimize processes, enhance quality, and drive innovation. This book is an essential resource for researchers, engineers, and scientists aiming to leverage RSM for superior outcomes.
Through a mix of theoretical insights and practical case studies, one addresses how RSM can be applied across a diverse set of fields, including engineering, chemistry, biology, health care, and more. Inside, readers will find fundamental concepts for understanding the core principles of RSM, experimental designs, applications, optimization techniques, advanced topics, and an extensive bibliography.
With broad contributions from leading experts in the field, tis book stands as a definitive guide for mastering the art and science of experimental optimization. Optimize your work, streamline your processes, and achieve outstanding results with this essential volume.
Contents
1. Historical Background of RSM
2. Response Surface Techniques as an Inevitable Tool in Optimization Process
3. Enhancing Adsorption and Desorption of Arsenic on Carbon Xerogel Nanocomposites in Aqueous Solution: Process Optimization
4. Formulae for Slopes and Curvatures of Two Curves in Quadratic Polynomial Regression Equations with Response Surface Analysis
5. Constant Block-Size with Constant Sum-Block Partially Balanced Incomplete Block Designs
6. Experimental Analysis of Black Hole Algorithm with Heuristic Algorithms in Traveling Salesman Problem
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