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Mathematical Foundations for Design: Civil Engineering Systems (Dover Civil and Mechanical Engineering) - Tapa blanda
Sinopsis
Typical mathematical techniques of operations research and systems engineering are developed in this text, which applies these methods to the design and operation of civil engineering systems. Its problem-solving examples ― many adapted from the research literature ― span a cross-section of applications in transportation design, traffic control, water resource design and operation, structural design, and construction management.
An introductory chapter on methodology is followed by six chapters on optimization and design. Chapters 2 through 4 address linear optimization; chapter 5 develops topics in nonlinear optimization; chapter 6 comprises examples of dynamic programming; and chapter 7 deals with sequencing, scheduling, and routing. The final chapters, 8 through 12, provide a review of basic probability and discuss applied probability. Topics include optimization of expected values of random performance (chapter 10); random models with applications to design and operation, including reliability and queuing systems (chapter 11); and operational techniques yielding solutions to more complex models of random phenomena (chapter 12). Five appendixes provide economic and probability tables, in addition to useful information about curve fitting, mathematical induction, and difference equations.
Suitable for undergraduate and graduate courses in civil engineering systems, probabilistic engineering analysis, and design optimization, this volume is an excellent reference for professionals.
An introductory chapter on methodology is followed by six chapters on optimization and design. Chapters 2 through 4 address linear optimization; chapter 5 develops topics in nonlinear optimization; chapter 6 comprises examples of dynamic programming; and chapter 7 deals with sequencing, scheduling, and routing. The final chapters, 8 through 12, provide a review of basic probability and discuss applied probability. Topics include optimization of expected values of random performance (chapter 10); random models with applications to design and operation, including reliability and queuing systems (chapter 11); and operational techniques yielding solutions to more complex models of random phenomena (chapter 12). Five appendixes provide economic and probability tables, in addition to useful information about curve fitting, mathematical induction, and difference equations.
Suitable for undergraduate and graduate courses in civil engineering systems, probabilistic engineering analysis, and design optimization, this volume is an excellent reference for professionals.
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Acerca del autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
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Mathematical Foundations for Design: Civil Engineering Systems (Dover Civil and Mechanical Engineering)
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Mathematical Foundations for Design: Civil Engineering Systems (Dover Civil and Mechanical Engineering)
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Mathematical Foundations for Design (Paperback)
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Paperback. Condición: new. Paperback. Typical mathematical techniques of operations research and systems engineering are developed in this text, which applies these methods to the design and operation of civil engineering systems. Its problem-solving examples - many adapted from the research literature - span a cross-section of applications in transportation design, traffic control, water resource design and operation, structural design, and construction management. An introductory chapter on methodology is followed by six chapters on optimization and design. Chapters 2 through 4 address linear optimization; chapter 5 develops topics in nonlinear optimization; chapter 6 comprises examples of dynamic programming; and chapter 7 deals with sequencing, scheduling, and routing. The final chapters, 8 through 12, provide a review of basic probability and discuss applied probability. Topics include optimization of expected values of random performance (chapter 10); random models with applications to design and operation, including reliability and queuing systems (chapter 11); and operational techniques yielding solutions to more complex models of random phenomena (chapter 12). Five appendixes provide economic and probability tables, in addition to useful information about curve fitting, mathematical induction, and difference equations.Suitable for undergraduate and graduate courses in civil engineering systems, probabilistic engineering analysis, and design optimization, this volume is an excellent reference for professionals. Text develops typical mathematical techniques of operations research and systems engineering and applies them to design and operation of civil engineering systems. Solutions to selected problems; solution guide available upon request. 1972 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780486438986
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Mathematical Foundations for Design
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ISBN 10: 0486438988
ISBN 13: 9780486438986
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