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Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments / / edited by Dennis J. Timlin, Saseendran S. Anapalli, Lajpat R. Ahuja
| Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments / / edited by Dennis J. Timlin, Saseendran S. Anapalli, Lajpat R. Ahuja |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2022] |
| Descrizione fisica | 1 online resource (204 pages) |
| Disciplina | 630.2515 |
| Collana | Advances in Agricultural Systems Modeling Ser. |
| Soggetto topico | Agricultural systems - Mathematical models |
| ISBN |
0-89118-389-2
0-89118-391-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 Introduction: System Models Integrated with Experiments Can Be Useful Tools to Develop Improved Management Practices for Subsistence Farming to Address Increased Intensification and Climate Change -- References -- Chapter 2 Modeling Soil Erosion Impacts and Trade-Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands in Kenya -- Abstract -- Introduction -- Materials and Methods -- Study Site and Farming System Selection -- Household and Biophysical Data Collection -- Baseline Erosion Calculations -- Bio-Economic Modeling with FarmDESIGN -- Inventory and Prioritization of Sustainable Land Management Practices -- Sustainable Land Management Scenario Description -- Results and Discussion -- Soil Quality, Erosion, and N Balances -- GHG Emissions -- Profitability -- Scenario Impacts -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 3 Using Crop Simulation Models as Tools to Quantify Effects of Crop Management Practices and Climate Change Scenarios on Wheat Yields in Northern Ethiopia -- Abstract -- Introduction -- Materials and Methods -- Study Site -- Model Setup and Agronomic Management Simulation Scenarios -- Simulation Scenarios for Climate Change Risk Assessment -- Results and Discussion -- Effects of Planting Dates -- Effects of Plant Densities -- Effects of Water Management -- Effects of N Fertilization Rates -- Effects of Future Climate Change under Different Crop Management Practices -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 4 The Role of Crop Simulation Modeling in Managing Fertilizer Use in Maize Production Systems in Northern Ghana -- Abstract -- Introduction -- Methodology -- Study Area -- Field Experiments -- Model Description -- Evaluation of Model Performance.
Derivation of Maize Yield Maps for the Three Northern Regions -- Results and Discussions -- Calibration and Validation of the DSSAT Model for Maize Varieties -- Simulation of Maize Yields in the Guinea Savanna Zone of Ghana under Diverse Nutrient, Soil Water, and Management Conditions -- Yield Mapping and Production Domains within Northern Ghana for Various Maize Varieties -- Conclusion -- Acknowledgment -- Abbreviations -- References -- Chapter 5 Modeling Water Dynamics for Assessing and Managing Ecosystem Services in India -- Abstract -- Introduction -- Modeling of Agro-Ecosystem Services -- Agro-Ecosystem Models -- Modeling of Water-Regulating Agro-Ecosystem Services under Climate Change -- Infiltration -- Groundwater Recharge -- Surface Water Evaporation -- Potential Evapotranspiration -- Surface Runoff -- Surface Water Storage -- Soil Erosion -- Summary -- Abbreviations -- References -- Chapter 6 Modeling Agricultural Hydrology and Water Productivity to Enhance Water Management in the Arid Irrigation District of China -- Abstract -- Introduction -- Materials and Methods -- The Study Area -- Method -- Model Calibration and Validation -- Water Productivity and Irrigation Water Productivity -- Results -- Evaluation of the AWPM-SG Model -- Groundwater Contribution to ET -- Discussion -- Relationship between Groundwater Upward Flux to Evapotranspiration and Average Groundwater Depth -- Relationship between Water Productivity and Groundwater Depth under Various Irrigation Amounts -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 7 Use of Data and Models in Simulating Regional and Geospatial Variations in Climate Change Impacts on Rice and Barley in the Republic of Korea -- Abstract -- Introduction -- Simulation of Grain Yields of Barley and Rice under Climate Change -- Field Experimental Data -- Simulation of Rice and Barley. Simulation of the Climate Change Impacts on Barley and Rice -- Varietal, Local, and Geographical Variations in Grain Yields of Barley and Rice in a Changing Climate -- Management Options and Outlines of the Geospatial Crop Projections under Climate Change as a Tool to Guide Management by Producers -- Summary and Conclusion -- Acknowledgments -- Abbreviations -- References -- Chapter 8 Constraints to Productivity of Subsistence Dryland Agroecosystems in the Fertile Crescent: Simulation and Statistical Modeling -- Abstract -- Introduction -- Materials and Methods -- Countries and Locations -- Weather Data -- Sources of Crop Data -- Crops -- Crop Rotations -- Soil Data -- Simulation Modeling -- Model Evaluation -- Statistical Modeling -- Data Management -- Results and Discussion -- Simulation Results -- Statistical Modeling -- Monthly Rainfall -- Variance Estimates -- Geographic and Agronomic Matrix Distances -- Yield Gaps -- Conclusions -- Abbreviations -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910573099303321 |
| Hoboken, New Jersey : , : Wiley, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments / / edited by Dennis J. Timlin, Saseendran S. Anapalli, Lajpat R. Ahuja
| Enhancing agricultural research and precision management for subsistence farming by integrating system models with experiments / / edited by Dennis J. Timlin, Saseendran S. Anapalli, Lajpat R. Ahuja |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2022] |
| Descrizione fisica | 1 online resource (204 pages) |
| Disciplina | 630.2515 |
| Collana | Advances in Agricultural Systems Modeling |
| Soggetto topico | Agricultural systems - Mathematical models |
| ISBN |
0-89118-389-2
0-89118-391-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 Introduction: System Models Integrated with Experiments Can Be Useful Tools to Develop Improved Management Practices for Subsistence Farming to Address Increased Intensification and Climate Change -- References -- Chapter 2 Modeling Soil Erosion Impacts and Trade-Offs of Sustainable Land Management Practices in the Upper Tana Region of the Central Highlands in Kenya -- Abstract -- Introduction -- Materials and Methods -- Study Site and Farming System Selection -- Household and Biophysical Data Collection -- Baseline Erosion Calculations -- Bio-Economic Modeling with FarmDESIGN -- Inventory and Prioritization of Sustainable Land Management Practices -- Sustainable Land Management Scenario Description -- Results and Discussion -- Soil Quality, Erosion, and N Balances -- GHG Emissions -- Profitability -- Scenario Impacts -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 3 Using Crop Simulation Models as Tools to Quantify Effects of Crop Management Practices and Climate Change Scenarios on Wheat Yields in Northern Ethiopia -- Abstract -- Introduction -- Materials and Methods -- Study Site -- Model Setup and Agronomic Management Simulation Scenarios -- Simulation Scenarios for Climate Change Risk Assessment -- Results and Discussion -- Effects of Planting Dates -- Effects of Plant Densities -- Effects of Water Management -- Effects of N Fertilization Rates -- Effects of Future Climate Change under Different Crop Management Practices -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 4 The Role of Crop Simulation Modeling in Managing Fertilizer Use in Maize Production Systems in Northern Ghana -- Abstract -- Introduction -- Methodology -- Study Area -- Field Experiments -- Model Description -- Evaluation of Model Performance.
Derivation of Maize Yield Maps for the Three Northern Regions -- Results and Discussions -- Calibration and Validation of the DSSAT Model for Maize Varieties -- Simulation of Maize Yields in the Guinea Savanna Zone of Ghana under Diverse Nutrient, Soil Water, and Management Conditions -- Yield Mapping and Production Domains within Northern Ghana for Various Maize Varieties -- Conclusion -- Acknowledgment -- Abbreviations -- References -- Chapter 5 Modeling Water Dynamics for Assessing and Managing Ecosystem Services in India -- Abstract -- Introduction -- Modeling of Agro-Ecosystem Services -- Agro-Ecosystem Models -- Modeling of Water-Regulating Agro-Ecosystem Services under Climate Change -- Infiltration -- Groundwater Recharge -- Surface Water Evaporation -- Potential Evapotranspiration -- Surface Runoff -- Surface Water Storage -- Soil Erosion -- Summary -- Abbreviations -- References -- Chapter 6 Modeling Agricultural Hydrology and Water Productivity to Enhance Water Management in the Arid Irrigation District of China -- Abstract -- Introduction -- Materials and Methods -- The Study Area -- Method -- Model Calibration and Validation -- Water Productivity and Irrigation Water Productivity -- Results -- Evaluation of the AWPM-SG Model -- Groundwater Contribution to ET -- Discussion -- Relationship between Groundwater Upward Flux to Evapotranspiration and Average Groundwater Depth -- Relationship between Water Productivity and Groundwater Depth under Various Irrigation Amounts -- Conclusions -- Acknowledgments -- Abbreviations -- References -- Chapter 7 Use of Data and Models in Simulating Regional and Geospatial Variations in Climate Change Impacts on Rice and Barley in the Republic of Korea -- Abstract -- Introduction -- Simulation of Grain Yields of Barley and Rice under Climate Change -- Field Experimental Data -- Simulation of Rice and Barley. Simulation of the Climate Change Impacts on Barley and Rice -- Varietal, Local, and Geographical Variations in Grain Yields of Barley and Rice in a Changing Climate -- Management Options and Outlines of the Geospatial Crop Projections under Climate Change as a Tool to Guide Management by Producers -- Summary and Conclusion -- Acknowledgments -- Abbreviations -- References -- Chapter 8 Constraints to Productivity of Subsistence Dryland Agroecosystems in the Fertile Crescent: Simulation and Statistical Modeling -- Abstract -- Introduction -- Materials and Methods -- Countries and Locations -- Weather Data -- Sources of Crop Data -- Crops -- Crop Rotations -- Soil Data -- Simulation Modeling -- Model Evaluation -- Statistical Modeling -- Data Management -- Results and Discussion -- Simulation Results -- Statistical Modeling -- Monthly Rainfall -- Variance Estimates -- Geographic and Agronomic Matrix Distances -- Yield Gaps -- Conclusions -- Abbreviations -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830508703321 |
| Hoboken, New Jersey : , : Wiley, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Farm business management : analysis of farming systems / / Peter L. Nuthall
| Farm business management : analysis of farming systems / / Peter L. Nuthall |
| Autore | Nuthall P. L (Peter Leslie) |
| Pubbl/distr/stampa | Wallingford, Oxfordshire, U.K. ; ; Cambridge, Mass., : CAB International, 2011 |
| Descrizione fisica | 1 online resource (463 p.) |
| Disciplina | 630.68 |
| Soggetto topico |
Farm management - Decision making
Agricultural systems - Mathematical models |
| ISBN |
1-283-26776-4
9786613267764 1-84593-840-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; The Author; Acknowledgements; 1 Introduction; 2 The Environment Under Which Farming Systems Exist; 3 Decisions Under Non-certainty - Probability, Methods and Models; 4 Cost-Benefit Analysis - Recognizing Input-Output Timing; 5 More on Decision Making and Utility (Objectives); 6 Farm Surveys - Uses, Procedures and Methods; 7 Improving Farming Systems Using Survey Data; and Information Systems; 8 Constructing Improved Systems; 9 Methods and Models of Income Variability Reducing Techniques; 10 Budgeting - The Simplest Form of Farm Systems Analysis
11 Linear Programming - The Farm Model and Finding an Optimal Solution12 Linear Programming - Using the Solution and Creating Realistic Farm Models; 13 Dynamic Programming; 14 Systems Simulation; 15 The Structure and Analysis of Specific Part-Farm Problems; 16 Concluding Comments - Review and Summary; Appendix 1: A Synopsis of Production Economics; Appendix 2: Example of the Output From an Individual Farm 'End of Year' Analysis; Appendix 3: Solving Linear Programming Problems; Appendix 4: An Example of a Schematic LP Matrix for a Simple Lamb-Producing Farm; Index |
| Record Nr. | UNINA-9910626110903321 |
Nuthall P. L (Peter Leslie)
|
||
| Wallingford, Oxfordshire, U.K. ; ; Cambridge, Mass., : CAB International, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling crop production systems [[electronic resource] ] : principles and application / / Phool Singh
| Modeling crop production systems [[electronic resource] ] : principles and application / / Phool Singh |
| Autore | Singh Phool |
| Pubbl/distr/stampa | Enfield, (NH), : Science Publishers, c2008 |
| Descrizione fisica | 1 online resource (534 p.) |
| Disciplina | 631.501/5118 |
| Soggetto topico |
Food crops - Mathematical models
Agricultural systems - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-57808-641-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910453385003321 |
|
Singh Phool
|
||
| Enfield, (NH), : Science Publishers, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling crop production systems [[electronic resource] ] : principles and application / / Phool Singh
| Modeling crop production systems [[electronic resource] ] : principles and application / / Phool Singh |
| Autore | Singh Phool |
| Pubbl/distr/stampa | Enfield, (NH), : Science Publishers, c2008 |
| Descrizione fisica | 1 online resource (534 p.) |
| Disciplina | 631.501/5118 |
| Soggetto topico |
Food crops - Mathematical models
Agricultural systems - Mathematical models |
| ISBN | 1-57808-641-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910782202403321 |
|
Singh Phool
|
||
| Enfield, (NH), : Science Publishers, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling crop production systems : principles and application / / Phool Singh
| Modeling crop production systems : principles and application / / Phool Singh |
| Autore | Singh Phool |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Enfield, (NH), : Science Publishers, c2008 |
| Descrizione fisica | 1 online resource (534 p.) |
| Disciplina | 631.501/5118 |
| Soggetto topico |
Food crops - Mathematical models
Agricultural systems - Mathematical models |
| ISBN | 1-57808-641-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Preface -- Contents -- 1. PHILOSOPHY, ROLE AND TERMINOLOGY OF SYSTEM SCIENCE -- 1.1 History of system science -- 1.1.1 Infancy -- 1.1.2 Juvenile phase -- 1.1.3 Adolescence -- 1.1.4 Maturity -- 1.2 General topology and terminology of systems -- 1.2.1 Variable -- 1.2.2 Parameter -- 1.2.3 System -- 1.2.4 Dynamic process/ model /system -- 1.2.5 Continuous versus discrete state spaces -- 1.2.6 Stochastic versus deterministic descriptions -- 1.2.6.1 Stochastic models of exponential growth -- 1.2.7 Modeling -- 1.2.8 Model -- 1.2.9 Steps in modeling -- 1.2.9.1 First Step: Define the problem -- 1.2.9.2 Second Step: Component identification -- 1.2.9.3 Third Step: Specify component behavior -- 1.2.9.4 Fourth Step: Computer implementation -- 1.2.9.5 Fifth Step: Validation -- 1.2.9.6 Sixth Step: Analysis -- 1.2.9.6.1 Sensitivity analyses -- 1.2.9.6.2 Stability analyses -- 1.3 Three problems -- 1.3.1 System management problem -- 1.3.2 Pure research problem -- 1.3.3 System design problem -- References -- 2. DEVELOPMENT OF MODEL STRUCTURE -- 2.1 Variables and their classification -- 2.1.1 Individual observations -- 2.1.2 Sample of observations -- 2.1.3 Variables -- 2.1.4 Population -- 2.1.5 Variables and their classification -- 2.1.5.1 Measurement variables -- 2.1.5.2 Discontinuous variables -- 2.1.6 Ranked variables -- 2.1.7 Nomina] variables or attributes -- 2.1.8 Variate -- 2.1.9 Derived variable -- 2.1.10 Interval variable -- 2.1.11 Ratio variable -- 2.1.12 Rate-quantity variable -- 2.1.13 Example -- 2.1.13.1 Components -- 2.1.13.1.1 Person -- 2.1.13.1.2 Car -- 2.1.13.1.3 Highway -- 2.1.13.1.4 Environment -- 2.1.14 Exercise -- 2.2 Relationship between variables -- 2.2.1 Causal loop diagrams -- 2.2.1.1 Direct relations -- 2.2.1.2 Indirect relations.
2.2.1.3 Relationship between rate and quantity variable -- 2.2.2 Types of relationship between variables -- 2.2.2.1 Direct (together) relations -- 2.2.2.2 Inverse relations -- 2.2.2.3 Indeterminate relations -- 2.2.2.4 Feedback relationship -- 2.2.3 Example of public address system -- 2.2.3.1 Step 1 -- 2.2.3.2 Step 2. Qualitative description of the system -- 2.2.3.3 Step 3. Definition of relevant components, subsystems, and interactions -- 2.2.3.4 Step 4. Definition of relevant variables -- 2.2.3.5 Step 5. Representation of the relations between the variables -- 2.2.3.6 Step 6. Description of the subsystems -- 2.2.3.7 Step 7. The model equations -- 2.2.3.8 Step 8. Studying the behaviour of the mode] -- 2.2.3.9 Example of feedback relationship: Simple public address system -- 2.2.3.10 Example: Amplifier circuit with negative feedback -- 2.2.3.11 Effect of feedback on response to change in input -- 2.3 Structural (black box) model -- 2.4 Refinement in structural models -- 2.4.1 The structure of crop simulation models -- References -- 3. SPECIFICATION OF COMPONENT BEHAVIOR -- 3.1 Algebraic form -- 3.1.1 Matrix algebraic form for studying a specific behavior of components -- 3.1.1.1 Use of matrix algebra in principal component analysis -- 3.1.1.2 Use of matrix algebra in linear programming for optimization of the system -- 3.1.1.2.1 Remark -- 3.1.1.3 Use of matrix algebra for distance measurements -- 3.1.1.3.1 Calculation of group distances to make a dendogram -- 3.2 Integral-differential form -- 3.2.1 Example for formulating a differential equations -- 3.2.2 The absorption law of Lambert -- 3.3 Parameter estimation -- 3.3.1 Statistical procedure -- 3.3.1.1 Finding the best parameter values for linear equations -- 3.3.1.1.1 Useful characteristic of extrema -- 3.3.1.1.2 Expressions for parameters a and b. 3.3.1.1.2.1 Derivative of a function of a funcrtion: The chain rule -- 3.3.1.1.2.2 Graphical representation -- 3.3.1.2 How good is the best fitting curve -- 3.3.1.3 Random versus systematic deviations -- 3.3.1.4 Linear approximations for quick estimating a good fitting curve -- 3.3.1.5 Weighing of data -- 3.3.1.5.1 Example -- 3.3.1.6 Error due to data transformation -- 3.3.1.6.1 Example: Error due to data transformation -- 3.3.1.6.1.1 Graphical representation -- 3.3.1.7 Correlation between variables -- 3.3.1.7.1 Example -- 3.3.1.8 Forced correlation -- 3.3.1.8.1 Example -- 3.3.1.9 Statistical procedure for parameters estimation of normal distribution curve -- 3.3.1.9.1 Practical uses of normal distribution curve and table of normal distribution (double tail) -- 3.3.1.9.1.1 Example (Quirin 1978) -- 3.3.1.9.1.2 Example (Quirin 1978) -- 3.3.1.9.1.3 Differences between two population mean or proportions -- 3.3.1.9.1.4 Interval estimation -- 3.3.1.10 Parameter estimation of samples and the universe of discourse -- 3.3.1.11 Parameter estimation and hypothesis testing -- 3.3.1.11.1 Example (1) -- 3.3.1.11.2 Example (2) -- 3.3.1.11.3 Example (3) -- 3.3.1.11.4 Example (4) -- 3.3.1.11.5 Example (5) -- 3.3.1.11.6 Example (6) -- 3.3.1.11.7 Example (7) -- 3.3.1.12 Crop performance indices -- 3.4 Non-statistical procedure for estimating the parameters (physical approach) -- 3.4.1 Non-statistical procedure of parameter estimation -- 3.4.1.1 Cuestimate of the intrinsic rate of increase -- 3.4.1.2 Computer language programming and simulation studies on large computer as a non-statistical approach for estimating parameters and for sensitivity analysis -- 3.4.1.3 Non-statistical approach for parameter estimate in stochastic models -- 3.4.1.4 Estimation of binomial coefficient wit hnon-statistical method -- 3.4.1.4.1 Example from Lewis (1971). 3.4.1.4.2 Binomial distribution (theorem) -- 3.4.1.5 Multinomial distribution -- 3.4.1.5.1 Example -- 3.4.1.6 Poisson distribution -- 3.4.1.7 Optimum seeking designs as a non-statistical approach in design of simulation experiments -- 3.4.1.8 Fitting model equations to experimental data -- 3.4.1.8.1 Selecting equations for fitting -- 3.4.1.8.2 Standard equation types -- 3.4.1.9 Mathematical formulation for solving the differentia] equation (analytical solution) -- 3.4.1.10 Mathematical formulation for solving the difference equation (numerical solution) -- 3.4.1.10.1 The finite difference approach -- 3.4.1.10.2 The Euler technique -- 3.4.1.10.3 An iterated second order Runge-Kutta method -- References -- 4. COMPUTER IMPLEMENTATION -- 4.1 Model software requirement -- 4.1.1 General purpose languages -- 4.1.2 Special-purpose simulation languages -- 4.1.3 Requirement of general-purpose or special purpose language -- 4.1.4 Requirement of special-purpose language -- 4.1.5 Recent softwares developed -- 4.2 Generalized model -- 4.2.1 Specialization and generalization -- 4.2.2 Constraints and characteristics of specialization and generaliza tion -- 4.3 Software specification -- 4.3.1 Command language -- 4.3.1.1 Data manipulating language for the hierarchial model -- 4.3.1.1.1 The GET command -- 4.3.1.1.2 THE GET PATH and GET NEXT WITHIN PARENT retrieval commands -- 4.3.1.1.3 HDML commands for update -- 4.3.1.1.4 IMS: A hierarchial DBMS -- 4.3.2 Program -- 4.3.2.1 Flowcharting -- 4.3.2.1.1 General flowcharting rules -- 4.3.2.1.2 Flowchart symbols and their use -- 4.3.2.1.3 Examples of simple flowcharts -- 4.3.2.2 Introduction of basic programming -- 4.3.2.2.1 BASIC program -- 4.3.2.2.2 Line number -- 4.3.2.2.3 REM -- 4.3.2.2.4 READ and DATA -- 4.3.2.2.5 PRINT -- 4.3.2.2.6 LET -- 4.3.2.2.7 Variables -- 4.3.2.2.8 Constants -- 4.3.2.2.9 GOTO -- 4.3.2.2.10 STOP. 4.3.2.2.11 IF. THEN -- 4.3.2.2.12 FOR and NEXT -- 4.3.2.2.13 Numeric functions -- 4.3.2.2.14 PRINT TAB -- 4.3.2.2.15 PRINT USING (TRS-80 only) -- 4.3.2.2.16 GOSUB and RETURN -- 4.3.2.2.17 GRAPH SUBROUTINE -- 4.3.2.2.18 Arrays and subscripted variables -- 4.3.2.2.19 Matrix subroutine -- 4.3.2.2.19.1 Inputting data to a matrix -- 4.3.2.2.19.2 Printing a matrix -- 4.3.2.2.19.3 Scalar multiplication by a constant, K -- 4.3.2.2.19.4 Post-multiplication of a matrix by a vector, X © -- 4.3.2.2.20 Important command mode instructions for apple ii and TRS-80 -- 4.3.2.2.20.1 Apple 0 plus -- 4.3.3 Data structure -- 4.3.3.1 Object data structure -- 4.3.3.2 The relational data structure -- 4.3.3.2.1 Relational model concepts -- 4.3.3.2.1.1 Domains, attributes, tupels, and relations -- 4.3.3.3 Network data structure -- 4.3.3.3.1 Network data modeling concepts -- 4.3.3.3.1.1 Records, record types, and data items -- 4.3.3.3.1.2 Set types and their basic properties -- 4.3.3.3.2 Special type of sets -- 4.3.3.3.3 Stored representations of set instances -- 4.3.3.3.4 Using sets to represent M : N relationships -- 4.3.3.4 Hierarchial data structure -- 4.3.3.4.1 Hierarchial database structures -- 4.3.3.4.1.1 Parent-child relationships and hierarchial schemas -- 4.3.3.4.1.2 Properties of a hierarchial schema -- 4.3.3.4.1.3 Hierarchial occurrence trees -- 4.3.3.4.1.4 Linearized form of a hierarchial occurrence tree -- 4.3.3.4.1.5 Virtual parent-child relationships -- 4.4 Data systems -- 4.4.1 Centralized data system -- 4.4.1.1 Centralized DBMS (Database Management System) Architect -- 4.4.1.2 Client-server architecture -- 4.4.1.3 Client-server architectures for DBMSs -- 4.4.2 Hierarchial data system -- 4.4.2.1 Integrity constraints in the hierarchial model -- 4.4.2.2 Data definition in the hierarchial model -- 4.4.2.3 Data manipulation language for the hierarchial model. 4.4.2.3.1 The get command. |
| Record Nr. | UNINA-9910825249903321 |
|
Singh Phool
|
||
| Enfield, (NH), : Science Publishers, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
