Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Correlation of Modelled Atmospheric Deposition of Cadmium, Mercury and Lead with the Measured Enrichment of these Elements in Moss / / by Stefan Nickel, Winfried Schröder, Ilia Ilyin, Oleg Travnikov
| Correlation of Modelled Atmospheric Deposition of Cadmium, Mercury and Lead with the Measured Enrichment of these Elements in Moss / / by Stefan Nickel, Winfried Schröder, Ilia Ilyin, Oleg Travnikov |
| Autore | Nickel Stefan |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (96 pages) |
| Disciplina | 363.7392 |
| Soggetto topico |
Geochemistry
Biogeography Atmospheric science Geographic information systems Chemistry - Data processing Biogeosciences Atmospheric Science Geographical Information System Computational Chemistry |
| ISBN |
9783031256363
9783031256356 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Chapter 1 Background and aims -- Chapter 2 Materials and Methods -- Chapter 3 Results -- Chapter 4 Conclusions. |
| Record Nr. | UNINA-9910720083203321 |
Nickel Stefan
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Decision optimization with IBM ILOG CPLEX Optimization Studio : a hands-on introduction to modeling with the Optimization Programming Language (OPL) / / Stefan Nickel [and three others]
| Decision optimization with IBM ILOG CPLEX Optimization Studio : a hands-on introduction to modeling with the Optimization Programming Language (OPL) / / Stefan Nickel [and three others] |
| Autore | Nickel Stefan |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , 2022 |
| Descrizione fisica | 1 online resource (279 pages) |
| Disciplina | 003.35133 |
| Collana | Graduate texts in operations research |
| Soggetto topico | OPL (Computer program language) |
| ISBN | 3-662-65481-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Table of contents -- List of abbreviations -- Part 1 Lessons -- 1 Introduction -- 1.1 Modeling and solving planning and decision-making problems -- 1.2 IBM ILOG CPLEX Optimization Studio -- 1.3 Introductory example -- 1.4 Content covered in the book -- 2 IBM ILOG CPLEX Optimization Studio-A primer -- 2.1 Licenses and installation -- 2.2 Starting the Studio -- 2.3 First steps -- 2.3.1 Importing a sample project -- 2.3.2 The components of a project -- 2.3.3 Solving a model instance -- 2.3.4 Studio components -- 2.3.5 Analysis of models, results, and the solution process -- 2.3.6 Creating a new project and importing existing projects -- 2.4 Studio Help and other resources -- 3 Setting up a model -- 3.1 Declaration and initialization of model parameters -- 3.1.1 Declaration -- 3.1.2 Initialization -- 3.2 Declaration of decision variables -- 3.3 Objective function -- 3.4 Constraints -- 3.5 Solution of Case Study 1 -- 3.6 Exercises -- 4 Data structures and related OPL language elements -- 4.1 Ranges -- 4.2 Arrays -- 4.2.1 Declaration and explicit initialization of arrays and array access -- 4.2.2 Arrays of decision variables -- 4.2.3 Multidimensional arrays -- 4.2.4 Further possibilities for initializing arrays -- 4.2.5 Placeholders and filters -- 4.3 Sets -- 4.3.1 Declaration and explicit initialization of sets -- 4.3.2 Further options for initializing sets -- 4.3.3 Index sets -- 4.3.4 Ordered sets -- 4.3.5 Set operations and functions for sets -- 4.4 Aggregate operators -- 4.4.1 Summation -- 4.4.2 Other aggregate operators -- 4.5 The forall-quantifier -- 4.6 Solution of Case Study 2 -- 4.7 Exercises -- 5 Introduction to IBM ILOG Script -- 5.1 Structure and basic language elements of IBM ILOG Script -- 5.2 OPL data elements and IBM ILOG script variables -- 5.3 Other language elements -- 5.3.1 Control structures.
5.3.2 Mathematical operators and functions -- 5.3.3 Properties and functions of ranges, arrays, and sets -- 5.3.4 String processing -- 5.3.5 Definition of customized functions -- 5.4 Solution of Case Study 4 -- 5.5 Exercises -- 6 Modeling with tuples -- 6.1 Tuple -- 6.1.1 Definition, declaration, and initialization -- 6.1.2 Linking tuples -- 6.1.3 Tuples in IBM ILOG Script -- 6.2 Tuple sets -- 6.2.1 Initialization -- 6.2.2 Decision variables -- 6.2.3 Key attributes -- 6.2.4 Linking tuple sets -- 6.2.5 Tuple sets in IBM ILOG Script -- 6.3 Efficient modeling with tuple sets -- 6.3.1 Slicing -- 6.3.2 Efficient access structures -- 6.3.3 Efficient and inefficient modeling of linked tuple sets -- 6.4 Solution of Case Study 4: Efficient modeling of sparse matrices by tuple sets -- 6.4.1 Modeling by a matrix -- 6.4.2 Modeling by a tuple set -- 6.4.3 Runtime comparison between matrix and tuple modeling for large data sets -- 6.5 Exercises -- 7 Separating model and data -- 7.1 Internal and external data initialization -- 7.2 Explicit initialization in data files -- 7.2.1 Basic model parameters -- 7.2.2 Arrays -- 7.2.3 Sets -- 7.2.4 Tuples -- 7.3 Connecting spreadsheet files -- 7.4 Solution of Case Study 5 -- 7.5 Exercises -- 8 Selected features of OPL and CPLEX Optimization Studio -- 8.1 Modeling with logical operations -- 8.1.1 Logical operators in OPL -- 8.1.2 Modeling with logical operators -- 8.1.3 Example of using "==" as a logical versus relational operator -- 8.1.4 Conversion of logical operations into linear constraints -- Linking binary variables -- Linking binary variables and "real" constraints -- 8.1.5 Counting sums -- 8.2 Piecewise linear functions -- 8.2.1 Special case: step functions -- 8.2.2 General piecewise linear functions -- Continuous functions -- Functions with jump points. 8.2.3 Modeling piecewise linear functions by linear constraints -- General linearization techniques -- Special cases -- 8.3 Conflicts and relaxations -- 8.3.1 Output in the Conflicts tab -- 8.3.2 Output in the Relaxations tab, Engine log tab, Solutions tab, and Problem browser -- 8.4 Solution of Case Study 6 -- 8.5 Exercises -- 9 Selected features of IBM ILOG Script -- 9.1 Input and output with IBM ILOG Script -- 9.1.1 Reading from and writing to text files -- 9.1.2 Reading from CSV files -- 9.2 Pre- and Postprocessing with IBM ILOG Script -- 9.3 Runtime measurement and CPLEX settings -- 9.4 Solution of Case Study 7 -- 9.5 Exercises -- 10 Flow control with ILOG Script -- 10.1 Overview and use cases -- 10.2 Accessing model and data files -- 10.3 Solution of Case Study 8 -- 10.4 Reference to further implementation examples -- 10.5 Exercises -- Part 2 Application studies -- 11 Covering location planning -- Proposed solution -- 12 Fleet sizing -- Proposed solution -- 13 Location planning -- Proposed solution -- 14 Transportation planning -- Proposed solution -- 15 Revenue Management -- Proposed solution -- 16 Lot sizing -- Proposed solution -- Bibliography -- Index. |
| Record Nr. | UNINA-9910586577103321 |
|
Nickel Stefan
|
||
| Berlin, Germany : , : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||