Civil and Environmental Systems Engineering
Autor Charles Revelle, Earl Whitlatch, Jeff Wrighten Limba Engleză Hardback – 15 aug 2003
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Specificații
ISBN-13: 9780130478221
ISBN-10: 0130478229
Pagini: 576
Dimensiuni: 184 x 243 x 27 mm
Greutate: 1 kg
Ediția:Nouă
Editura: Pearson Education
Locul publicării:Upper Saddle River, United States
ISBN-10: 0130478229
Pagini: 576
Dimensiuni: 184 x 243 x 27 mm
Greutate: 1 kg
Ediția:Nouă
Editura: Pearson Education
Locul publicării:Upper Saddle River, United States
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Descriere
For junior/senior-level courses in Systems Analysis or Systems Analysis and Economics as applied to civil engineering.
With a reorganization and new material, the Second Edition of this acclaimed text is designed to enhance the student's learning experience by providing exposure to modeling ideas and concepts. Network flow problems are emphasized by highlighting their study separately from the general integer programming models that are considered. With a wider range of examples and exercises that conclude many chapters, this text offers students an extremely practical, accessible study on the most modern skills available for the design, operation and evaluation of civil and environmental engineering systems.
With a reorganization and new material, the Second Edition of this acclaimed text is designed to enhance the student's learning experience by providing exposure to modeling ideas and concepts. Network flow problems are emphasized by highlighting their study separately from the general integer programming models that are considered. With a wider range of examples and exercises that conclude many chapters, this text offers students an extremely practical, accessible study on the most modern skills available for the design, operation and evaluation of civil and environmental engineering systems.
Cuprins
1. Explaining Systems Analysis.
2. Models in Civil and Environmental Engineering.
3. A Graphical Solution Procedure and Further Examples.
4. The Simplex Algorithm for Solving Linear Programs.
5. Linear Programs with Multiple Objectives.
6. Linear Programming Models of Network Flow.
7. Integer Programming and Its Applications.
8. Scheduling Models: Critical Path Method.
9. Decision Theory.
10. Lessons in Context: Simulation and the Statistics of Prediction.
11. Lessons in Context: A Multigoal Water Resources Problem Utilizing Multiple Techniques.
12. Lessons in Context: Transportation Systems.
13. Dynamic Programming and Nonlinear Programming.
14. Engineering Economics I: Interest and Equivalence.
15. Engineering Economics II: Choice Between Alternatives.
16. Engineering Economics III: Depreciation, Taxes, Inflation, and Personal Financial Planning.
Notă biografică
The team of authors, ReVelle, Whitlatch, and Wright, is well credentialed to provide a text that delivers both solid technical content and quality communication. ReVelle, a professor at Johns Hopkins for more than 30 years, studied with one of the originators of systems analysis in water management and teaches a course in civil systems regularly. ReVelle is also the author, with his wife Penelope, of The Environment, a basic college text that has appeared in three editions, and more recently of The Global Environment. Whitlatch, a professor in civil engineering at Ohio State, has been teaching a popular and well-received civil systems course for over 25 years. Wright, the Dean of Engineering at University of California, Merced, and the founding editor-in-chief of The Journal of Infrastructure Systems, has been teaching courses on civil systems and engineering economics for more than 20 years. The authors have collaborated on research for three decades. All three authors have distinguished records of research and application. They enjoyed writing the text together and will be interested in your comments.
Textul de pe ultima copertă
Civil and Environmental Systems Engineering is designed for a junior- or senior-year course on systems analysis and economics as applied to civil engineering. This civil system/engineering economics course has evolved over roughly the last 30 years and draws on the fields of operations research and economics to create skills in problem solving. Because of the presence of several more advanced sections and sections focusing on applications in the book, it may also he useful as a text for first-year graduate courses that introduce students to civil systems.
The second edition improves on an already classic book in its field by introducing new material and reorganizing portions of the previous edition. The new material is designed to enhance the student's learning experience by introducing modeling ideas and concepts at the outset, prior to teaching the mathematical process of model building. Network flow problems are given special treatment by highlighting their study separately from the general integer programming models that are considered. As well, the range of examples offered for the student's consideration is expanded not only as a motivational tool, but to illustrate the breadth of applications possible. A number of new end-of-chapter questions have been added to enhance the already well-received engineering economics chapters.
REORGANIZED CHAPTERS
The second edition improves on an already classic book in its field by introducing new material and reorganizing portions of the previous edition. The new material is designed to enhance the student's learning experience by introducing modeling ideas and concepts at the outset, prior to teaching the mathematical process of model building. Network flow problems are given special treatment by highlighting their study separately from the general integer programming models that are considered. As well, the range of examples offered for the student's consideration is expanded not only as a motivational tool, but to illustrate the breadth of applications possible. A number of new end-of-chapter questions have been added to enhance the already well-received engineering economics chapters.
REORGANIZED CHAPTERS
- Chapter 1:
- Now combines the historical development of systems analysis and the steps a model builder follows in structuring an optimization model.
- Includes verbal descriptions of settings where models can be employed. The student is challenged to identify, in the context of these settings, not only constraints and appropriate decision variables, but also the needed parameters and problem objectives.
- Chapter 2: Now consists of the general form of the linear programming problem and nine examples or stylized problems that are described in detail, as well as solved, to help introduce the student to the concept of optimization modeling.
- Chapter 6; All the major network flows concepts have been drawn together into one chapter.
- Chapter 7: The topics of integer programming, branch and bound, and the applications of integer programming are now contained in their chapter.
Caracteristici
- NEW - Reorganized and updated material—Provides a smoother and more student-friendly structure.
- Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
- Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
- NEW - First chapter devoted to a combination of historical development of systems analysis and the steps that a model builder must follow in structuring an optimization model.
- Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
- Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
- NEW - A number of end-of-chapter and text example problems.
- NEW - Verbal descriptions of settings where models can be employed in Chapter 1.
- Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
- Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
- NEW - Network flows presented in its own chapter—Contains all of the major network flow concepts for ease of access.
- Provides a more consistent flow of material so that students can absorb the subject matter more easily.
- Provides a more consistent flow of material so that students can absorb the subject matter more easily.
- NEW - Topics of integer programming, branch and bound, and applications of integer programming treated in their own chapter—Without the network flow models.
- Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.
- Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.
- An abundance of substantive examples and problems.
- Helps students apply the concepts they are learning so they can be equipped with a working knowledge of the material.
- Helps students apply the concepts they are learning so they can be equipped with a working knowledge of the material.
Caracteristici noi
- Reorganized and updated material—Provides a smoother and more student-friendly structure.
- Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
- Offers students a highly accessible presentation of the subject matter so they can master the material at an ambitious yet comfortable pace.
- First chapter devoted to a combination of historical development of systems analysis and the steps that a model builder must follow in structuring an optimization model.
- Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
- Provides students with further opportunities to develop formulation skills without the necessity of employing mathematics.
- A number of end-of-chapter and text example problems.
- Verbal descriptions of settings where models can be employed in Chapter 1.
- Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
- Challenges students to identify the needed parameters and problem objectives as well as constraints and appropriate decision variables.
- Network flows presented in its own chapter—Contains all of the major network flow concepts for ease of access.
- Provides a more consistent flow of material so that students can absorb the subject matter more easily.
- Provides a more consistent flow of material so that students can absorb the subject matter more easily.
- Topics of integer programming, branch and bound, and applications of integer programming treated in their own chapter—Without the network flow models.
- Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.
- Offers the instructor flexibility with these topics while allowing independent study of the classical and widely applicable models of network flows.