| Mathematical Foundations for Design: Civil Engineering Systems Contributor(s): Stark, Robert M. (Author), Nicholls, Robert L. (Author) |
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ISBN: 0486438988 ISBN-13: 9780486438986 Publisher: Dover Publications OUR PRICE: $26.96 Product Type: Paperback - Other Formats Published: January 2005 Annotation: 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. Topics include optimization and design, plus basic and applied probability. Solutions to selected problems; solution guide available upon request. 1972 edition. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Technology & Engineering | Engineering (general) |
| Dewey: 620.004 |
| LCCN: 2004058285 |
| Series: Dover Books on Engineering |
| Physical Information: 1.13" H x 6.56" W x 8.48" (1.30 lbs) 566 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |