Numerical Optimization in Engineering and Sciences [electronic resource] : Select Proceedings of NOIEAS 2019 / edited by Debashis Dutta, Biswajit Mahanty.
Contributor(s): Dutta, Debashis [editor.] | Mahanty, Biswajit [editor.] | SpringerLink (Online service).
Material type: BookSeries: Advances in Intelligent Systems and Computing: 979Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 589 p. 252 illus., 193 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811532153.Subject(s): Engineering mathematics | Engineering—Data processing | Security systems | Mathematics—Data processing | Mathematical optimization | Mathematical and Computational Engineering Applications | Security Science and Technology | Computational Science and Engineering | OptimizationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620 Online resources: Click here to access onlineChapter 1. Numerical Optimization in Civil Engineering -- Chapter 2. Numerical Optimization in Electrical Engineering -- Chapter 3. Numerical Optimization in Mechanical Engineering.-Chapter 4. Numerical Optimization in Chemical Engineering -- Chapter 5. Numerical Optimization in Mathematics and Computer Science.
This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques. .
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