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Introduction to Optimum Design
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Introduction to Optimum Design

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ProduktVarenr.PrisHandling
Introduction to Optimum DesignSX108853428269,5 krTil butik
Introduction to Optimum Design9780128183205874,95 krTil butik
Introduction to Optimum Design9780128183205874,95 krTil butik

Produktdetaljer

Introduction to Optimum Design

Introduction to Optimum Design

Jasbir S. Aroraingeniørvidenskab og landbrug

269,5 kr

Til butik
Varenr.:
SX108853428

Introduction to Optimum Design 3e describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured as learning and teaching aids. * Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable* Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems* Introduction to MATLAB Optimization Toolbox* Practical design examples introduce students to the use of optimization methods early in the book* New example problems throughout the text are enhanced with detailed illustrations* Optimum design with Excel Solver has been expanded into a full chapter* New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses

Læs mere hos Saxo DK
Introduction to Optimum Design

Introduction to Optimum Design

Jasbir Singh Aroraingeniørvidenskab og landbrug

874,95 kr

Til butik
Varenr.:
9780128183205

**2025 Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner** Introduction to Optimum Design, Fifth Edition is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text presents an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrating various concepts and procedures with simple examples and demonstrating their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured as learning and teaching aids. This new edition has been enhanced with new or expanded content in such areas as reliability‐based optimization, metamodeling, design of experiments, robust design, nature-inspired metaheuristic search methods, and combinatorial optimizaton.

Læs mere hos Saxo DK
Introduction to Optimum Design

Introduction to Optimum Design

Jasbir Singh AroraBog

874,95 kr

Til butik
Varenr.:
9780128183205

**2025 Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner** Introduction to Optimum Design, Fifth Edition is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text presents an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrating various concepts and procedures with simple examples and demonstrating their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB are featured as learning and teaching aids. This new edition has been enhanced with new or expanded content in such areas as reliability‐based optimization, metamodeling, design of experiments, robust design, nature-inspired metaheuristic search methods, and combinatorial optimizaton.

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