OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER
DOWNLOAD EBOOK : OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
Click link bellow and free register to download ebook: OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER DOWNLOAD FROM OUR ONLINE LIBRARY
OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
Starting from visiting this website, you have actually aimed to start loving checking out a publication Optimization Modeling With Spreadsheets By Kenneth R. Baker This is specialized website that sell hundreds compilations of publications Optimization Modeling With Spreadsheets By Kenneth R. Baker from lots sources. So, you won't be tired any more to decide on the book. Besides, if you likewise have no time to search the book Optimization Modeling With Spreadsheets By Kenneth R. Baker, simply sit when you're in workplace and also open the internet browser. You can locate this Optimization Modeling With Spreadsheets By Kenneth R. Baker lodge this website by linking to the net.
Review 1. Introduction to Spreadsheet Modeling for Optimization. Elements of a Model. Spreadsheet Models. A Hierarchy for Analysis. Optimization Software. Using Solver. Summary. Homework. 2. Linear Programming Formulations: Allocation, Covering, and Blending Models. Linear Models. Allocation Models. Blending Models. Modeling Errors in Linear Programming. Summary. Homework. 3. Linear Programming Formulations: Network Models. The Transportation Model. The Assignment Model. The Transshipment Model. Features of Special Network Models. Building Network Models with Balance Equations. General Network Models with Expanding Flows. General Network Models with Transformed Flows. Summary. Homework. 4. Sensitivity Analysis Linear Programs. Sensitivity Analysis Transportation Example. Sensitivity Analysis in the Allocation Example. The Sensitivity Report and the Transportation Example. The Sensitivity Report and the Allocation Example. Degeneracy and Alternative Optima. Patterns in Linear Programming Solutions. Summary. Homework. 5. Linear Programming Formulations: Data Envelopment Analysis. A Graphical Perspective on DEA. An Algebraic Perspective on DEA. A Spreadsheet Model for DEA. Indexing. Finding Reference Sets and HCUs. Assumptions and Limitations of DEA. Summary. Homework. 6. Integer Programming. Using Solver with Integer Requirements. Models with Binary Choice. Models with Qualitative Constraints. The Facility Location Model. The Algorithm for Solving Integer Programs. Summary. Homework. 7. Nonlinear Programming. One-Variable Models. Local Optima and Search for an Optimum. Two-Variable Models. Nonlinear Models with Constraints. Linearizations. Summary. Homework. 8. Heuristic Solutions with the Evolutionary Solver. Features of the Evolutionary Solver. An Illustrative Example: Nonlinear Regression. The Machine-Sequence Problem Revisited. The Traveling Salesperson Problem Revisited. Multi-Machine Scheduling. Two-Dimensional Location. Group Assignment. Summary. Homework. Appendix I. Software. Appendix II. Graphical Methods in Linear Programming. Appendix III. The Simplex Method. Appendix IV. Stochastic Programming. From the Back Cover Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through
the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: ●
● ● ● ●
Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type
Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
About the Author Kenneth R. Baker, PhD, is Nathaniel Leverone Professor of Management at the Tuck School of Business and Adjunct Professor of Engineering at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his area of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling. He is coauthor of Principles of Sequencing and Scheduling and Management Science: The Art of Modeling with Spreadsheets, Third Edition, both published by Wiley.
OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
Download: OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
Tips in selecting the best book Optimization Modeling With Spreadsheets By Kenneth R. Baker to read this day can be acquired by reading this resource. You could locate the very best book Optimization Modeling With Spreadsheets By Kenneth R. Baker that is sold in this world. Not just had the books published from this nation, but additionally the other nations. As well as now, we intend you to check out Optimization Modeling With Spreadsheets By Kenneth R. Baker as one of the reading products. This is just one of the best books to gather in this site. Check out the resource and browse the books Optimization Modeling With Spreadsheets By Kenneth R. Baker You could locate great deals of titles of guides supplied. Why must be Optimization Modeling With Spreadsheets By Kenneth R. Baker in this website? Obtain a lot more revenues as exactly what we have actually informed you. You could find the other eases besides the previous one. Relieve of obtaining the book Optimization Modeling With Spreadsheets By Kenneth R. Baker as exactly what you desire is additionally provided. Why? We offer you lots of kinds of the books that will certainly not make you feel bored. You can download them in the link that we offer. By downloading and install Optimization Modeling With Spreadsheets By Kenneth R. Baker, you have taken properly to choose the simplicity one, compared to the headache one. The Optimization Modeling With Spreadsheets By Kenneth R. Baker has the tendency to be great reading book that is understandable. This is why this book Optimization Modeling With Spreadsheets By Kenneth R. Baker becomes a favorite book to read. Why do not you desire turned into one of them? You can appreciate reading Optimization Modeling With Spreadsheets By Kenneth R. Baker while doing other tasks. The presence of the soft documents of this book Optimization Modeling With Spreadsheets By Kenneth R. Baker is type of getting encounter effortlessly. It includes just how you ought to save guide Optimization Modeling With Spreadsheets By Kenneth R. Baker, not in shelves certainly. You may save it in your computer system gadget and gizmo.
OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models
Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: ●
● ● ● ●
Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type
Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
● ● ● ● ● ●
Sales Rank: #168452 in Books Published on: 2011-05-24 Original language: English Number of items: 1 Dimensions: 9.45" h x 1.02" w x 6.40" l, 1.75 pounds Binding: Hardcover
●
432 pages
Review 1. Introduction to Spreadsheet Modeling for Optimization. Elements of a Model. Spreadsheet Models. A Hierarchy for Analysis. Optimization Software. Using Solver. Summary. Homework. 2. Linear Programming Formulations: Allocation, Covering, and Blending Models. Linear Models. Allocation Models. Blending Models. Modeling Errors in Linear Programming. Summary. Homework. 3. Linear Programming Formulations: Network Models. The Transportation Model. The Assignment Model. The Transshipment Model. Features of Special Network Models. Building Network Models with Balance Equations. General Network Models with Expanding Flows. General Network Models with Transformed Flows. Summary. Homework. 4. Sensitivity Analysis Linear Programs. Sensitivity Analysis Transportation Example. Sensitivity Analysis in the Allocation Example. The Sensitivity Report and the Transportation Example. The Sensitivity Report and the Allocation Example. Degeneracy and Alternative Optima. Patterns in Linear Programming Solutions. Summary. Homework. 5. Linear Programming Formulations: Data Envelopment Analysis. A Graphical Perspective on DEA. An Algebraic Perspective on DEA. A Spreadsheet Model for DEA. Indexing. Finding Reference Sets and HCUs. Assumptions and Limitations of DEA. Summary. Homework. 6. Integer Programming. Using Solver with Integer Requirements. Models with Binary Choice. Models with Qualitative Constraints. The Facility Location Model. The Algorithm for Solving Integer Programs. Summary. Homework. 7. Nonlinear Programming. One-Variable Models. Local Optima and Search for an Optimum. Two-Variable Models. Nonlinear Models with Constraints. Linearizations. Summary. Homework. 8. Heuristic Solutions with the Evolutionary Solver. Features of the Evolutionary Solver. An Illustrative Example: Nonlinear Regression. The Machine-Sequence Problem Revisited. The Traveling Salesperson Problem Revisited. Multi-Machine Scheduling. Two-Dimensional Location. Group Assignment. Summary. Homework. Appendix I. Software. Appendix II. Graphical Methods in Linear Programming. Appendix III. The Simplex Method. Appendix IV. Stochastic Programming. From the Back Cover Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: ●
● ● ● ●
Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type
Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
About the Author Kenneth R. Baker, PhD, is Nathaniel Leverone Professor of Management at the Tuck School of Business and Adjunct Professor of Engineering at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his area of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling. He is coauthor of Principles of Sequencing and Scheduling and Management Science: The Art of Modeling with Spreadsheets, Third Edition, both published by Wiley. Most helpful customer reviews 10 of 10 people found the following review helpful. Amazingly Clear By Travis Neale Great book! It gives you exactly what you need to know to actually put together a working model on your own. It has enough theory so you understand what you're doing, and a lot of practical application material on how to actually do it. It was my third "modeling" book, but the first one to bridge the gap between theory and application. I attribute this primarily on the author's choice of focusing on showing the models in Excel. The other books I've picked up have tried to maintain a neutrality on what you use to build your model, and they focus on the abstract methods, which are important, but leave you lacking the actual details on how to get it done! And let's face it: Chances are you're going to build your model in Excel and use the Frontline solvers anyway. That being said, I now feel confident enough to take my models out of Excel and plant them in other solvers. Once you build a few, the concepts stick. 1 of 1 people found the following review helpful. Five Stars By Amazon Customer Exactly what I needed at a great price. 1 of 3 people found the following review helpful. The price is good By Nmr Good price comparing to our University book store. Its easy to view the book and the [...] website make things much easier as I can view my book from any computer. See all 4 customer reviews...
OPTIMIZATION MODELING WITH SPREADSHEETS BY KENNETH R. BAKER PDF
By saving Optimization Modeling With Spreadsheets By Kenneth R. Baker in the gizmo, the means you read will certainly also be much simpler. Open it as well as start reading Optimization Modeling With Spreadsheets By Kenneth R. Baker, basic. This is reason that we recommend this Optimization Modeling With Spreadsheets By Kenneth R. Baker in soft documents. It will certainly not disturb your time to obtain guide. Furthermore, the online system will likewise alleviate you to search Optimization Modeling With Spreadsheets By Kenneth R. Baker it, also without going someplace. If you have link internet in your workplace, home, or gadget, you could download Optimization Modeling With Spreadsheets By Kenneth R. Baker it straight. You might not additionally wait to get the book Optimization Modeling With Spreadsheets By Kenneth R. Baker to send by the seller in various other days. Review 1. Introduction to Spreadsheet Modeling for Optimization. Elements of a Model. Spreadsheet Models. A Hierarchy for Analysis. Optimization Software. Using Solver. Summary. Homework. 2. Linear Programming Formulations: Allocation, Covering, and Blending Models. Linear Models. Allocation Models. Blending Models. Modeling Errors in Linear Programming. Summary. Homework. 3. Linear Programming Formulations: Network Models. The Transportation Model. The Assignment Model. The Transshipment Model. Features of Special Network Models. Building Network Models with Balance Equations. General Network Models with Expanding Flows. General Network Models with Transformed Flows. Summary. Homework. 4. Sensitivity Analysis Linear Programs. Sensitivity Analysis Transportation Example. Sensitivity Analysis in the Allocation Example. The Sensitivity Report and the Transportation Example. The Sensitivity Report and the Allocation Example. Degeneracy and Alternative Optima. Patterns in Linear Programming Solutions. Summary. Homework. 5. Linear Programming Formulations: Data Envelopment Analysis. A Graphical Perspective on DEA. An Algebraic Perspective on DEA. A Spreadsheet Model for DEA. Indexing. Finding Reference Sets and HCUs. Assumptions and Limitations of DEA. Summary. Homework. 6. Integer Programming. Using Solver with Integer Requirements. Models with Binary Choice. Models with Qualitative Constraints. The Facility Location Model. The Algorithm for Solving Integer Programs. Summary. Homework. 7. Nonlinear Programming. One-Variable Models. Local Optima and Search for an Optimum. Two-Variable Models. Nonlinear Models with Constraints. Linearizations. Summary. Homework. 8. Heuristic Solutions with the Evolutionary Solver. Features of the Evolutionary Solver. An Illustrative Example: Nonlinear Regression. The Machine-Sequence Problem Revisited. The Traveling Salesperson Problem Revisited. Multi-Machine Scheduling. Two-Dimensional Location. Group Assignment. Summary. Homework. Appendix I. Software. Appendix II. Graphical Methods in Linear Programming. Appendix III. The Simplex Method. Appendix IV. Stochastic Programming. From the Back Cover Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that
equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: ●
● ● ● ●
Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type
Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
About the Author Kenneth R. Baker, PhD, is Nathaniel Leverone Professor of Management at the Tuck School of Business and Adjunct Professor of Engineering at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his area of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling. He is coauthor of Principles of Sequencing and Scheduling and Management Science: The Art of Modeling with Spreadsheets, Third Edition, both published by Wiley.
Starting from visiting this website, you have actually aimed to start loving checking out a publication Optimization Modeling With Spreadsheets By Kenneth R. Baker This is specialized website that sell hundreds compilations of publications Optimization Modeling With Spreadsheets By Kenneth R. Baker from lots sources. So, you won't be tired any more to decide on the book. Besides, if you likewise have no time to search the book Optimization Modeling With Spreadsheets By Kenneth R. Baker, simply sit when you're in workplace and also open the internet browser. You can locate this Optimization Modeling With Spreadsheets By Kenneth R. Baker lodge this website by linking to the net.
