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The Basic Approach to Age-Structured Population Dynamics [[electronic resource] ] : Models, Methods and Numerics / / by Mimmo Iannelli, Fabio Milner
| The Basic Approach to Age-Structured Population Dynamics [[electronic resource] ] : Models, Methods and Numerics / / by Mimmo Iannelli, Fabio Milner |
| Autore | Iannelli Mimmo |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 350 p. 77 illus., 20 illus. in color.) |
| Disciplina |
576.58
577.88 |
| Collana | Lecture Notes on Mathematical Modelling in the Life Sciences |
| Soggetto topico |
Biomathematics
Applied mathematics Engineering mathematics Integral equations Partial differential equations Genetics and Population Dynamics Applications of Mathematics Integral Equations Partial Differential Equations |
| ISBN | 94-024-1146-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Why Age Structure? An Introduction -- 2 The Basic Linear Theory -- 3 Numerical Methods for the Linear Model -- 4 The Time-Dependent Case -- 5 Nonlinear Models -- 6 Stability of Equilibria -- 7 Numerical Methods for the Nonlinear Model -- 8 Global Behavior -- 9 Class-Age Structure for Epidemics -- 10 Epidemics and Demography -- A The Laplace Transform -- B Integral Equations Theory. References. |
| Record Nr. | UNINA-9910254306903321 |
Iannelli Mimmo
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| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Concepts in Computational Physics [[electronic resource] /] / by Benjamin A. Stickler, Ewald Schachinger
| Basic Concepts in Computational Physics [[electronic resource] /] / by Benjamin A. Stickler, Ewald Schachinger |
| Autore | A. Stickler Benjamin |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVII, 377 p. 95 illus.) |
| Disciplina | 530.1 |
| Soggetto topico |
Physics
Applied mathematics Engineering mathematics Computer mathematics Chemistry, Physical and theoretical Statistical physics Dynamical systems Numerical and Computational Physics, Simulation Mathematical and Computational Engineering Computational Mathematics and Numerical Analysis Theoretical and Computational Chemistry Complex Systems Statistical Physics and Dynamical Systems |
| ISBN | 3-319-02435-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Some Basic Remarks -- Part I Deterministic Methods: Numerical Differentiation -- Numerical Integration -- The KEPLER Problem -- Ordinary Differential Equations – Initial Value Problems -- The Double Pendulum -- Molecular Dynamics -- Numerics of Ordinary Differential Equations - Boundary Value Problems -- The One-Dimensional Stationary Heat Equation -- The One-Dimensional Stationary SCHRÖDINGER Equation -- Numerics of Partial Differential Equations -- Part II Stochastic Methods -- Pseudo Random Number Generators -- Random Sampling Methods -- A Brief Introduction to Monte-Carlo Methods -- The ISING Model -- Some Basics of Stochastic Processes -- The Random Walk and Diffusion Theory -- MARKOV-Chain Monte Carlo and the POTTS Model -- Data Analysis -- Stochastic Optimization. |
| Record Nr. | UNINA-9910799246303321 |
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A. Stickler Benjamin
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Concepts in Computational Physics [[electronic resource] /] / by Benjamin A. Stickler, Ewald Schachinger
| Basic Concepts in Computational Physics [[electronic resource] /] / by Benjamin A. Stickler, Ewald Schachinger |
| Autore | Stickler Benjamin A |
| Edizione | [2nd ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVI, 409 p. 95 illus.) |
| Disciplina | 530.1 |
| Soggetto topico |
Physics
Applied mathematics Engineering mathematics Computer mathematics Chemistry, Physical and theoretical Numerical and Computational Physics, Simulation Mathematical and Computational Engineering Computational Mathematics and Numerical Analysis Theoretical and Computational Chemistry |
| ISBN | 3-319-27265-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Some Basic Remarks -- Part I Deterministic Methods -- Numerical Differentiation -- Numerical Integration -- The KEPLER Problem -- Ordinary Differential Equations – Initial Value Problems -- The Double Pendulum -- Molecular Dynamics -- Numerics of Ordinary Differential Equations - Boundary Value Problems -- The One-Dimensional Stationary Heat Equation -- The One-Dimensional Stationary SCHRÖDINGER Equation -- Partial Differential Equations -- Part II Stochastic Methods -- Pseudo Random Number Generators -- Random Sampling Methods -- A Brief Introduction to Monte-Carlo Methods -- The ISING Model -- Some Basics of Stochastic Processes -- The Random Walk and Diffusion Theory -- MARKOV-Chain Monte Carlo and the POTTS Model -- Data Analysis -- Stochastic Optimization -- Appendix: The Two-Body Problem -- Solving Non-Linear Equations. The NEWTON Method -- Numerical Solution of Systems of Equations -- Fast Fourier Transform -- Basics of Probability Theory -- Phase Transitions -- Fractional Integrals and Derivatives in 1D -- Least Squares Fit -- Deterministic Optimization. |
| Record Nr. | UNINA-9910254635603321 |
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Stickler Benjamin A
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Concepts of Data and Error Analysis [[electronic resource] ] : With Introductions to Probability and Statistics and to Computer Methods / / by Panayiotis Nicos Kaloyerou
| Basic Concepts of Data and Error Analysis [[electronic resource] ] : With Introductions to Probability and Statistics and to Computer Methods / / by Panayiotis Nicos Kaloyerou |
| Autore | Kaloyerou Panayiotis Nicos |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XX, 259 p. 405 illus., 42 illus. in color.) |
| Disciplina | 511.43 |
| Soggetto topico |
Physical measurements
Measurement Statistics Continuum physics Applied mathematics Engineering mathematics Measurement Science and Instrumentation Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Classical and Continuum Physics Mathematical and Computational Engineering |
| ISBN | 3-319-95876-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Units of Measurement -- Scientific Calculations, Significant Figures and Graphs -- Error Analysis -- The Method of Least Squares -- Theoretical Background - Probability and Statistics -- Use of Computers -- A: Bibliography -- B: Tables -- C: Some Mathematical Formulae and Relations -- D: Some Biographies -- E: Solutions. |
| Record Nr. | UNINA-9910300557903321 |
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Kaloyerou Panayiotis Nicos
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Graph Theory [[electronic resource] /] / by Md. Saidur Rahman
| Basic Graph Theory [[electronic resource] /] / by Md. Saidur Rahman |
| Autore | Rahman Md. Saidur |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 169 p. 147 illus.) |
| Disciplina | 511.5 |
| Collana | Undergraduate Topics in Computer Science |
| Soggetto topico |
Computer science—Mathematics
Graph theory Applied mathematics Engineering mathematics Discrete Mathematics in Computer Science Graph Theory Mathematical and Computational Engineering |
| ISBN | 3-319-49475-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Graphs and Their Applications -- Basic Graph Terminologies -- Paths, Cycles and Connectivity’s -- Trees -- Matching and Covering -- Planar Graphs -- Graph Coloring -- Digraphs -- Special Classes of Graphs -- Some Research Topics -- Index. |
| Record Nr. | UNINA-9910254816403321 |
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Rahman Md. Saidur
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong
| Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong |
| Autore | Armstrong Margaret |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (XI, 155 p.) |
| Disciplina | 622 |
| Soggetto topico |
Geology
Earth sciences Applied mathematics Engineering mathematics Statistics Earth Sciences, general Mathematical and Computational Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-642-58727-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 1.1 Summary -- 1.2 Introduction -- 1.3 Applications of geostatistics in mining -- 1.4 The $64 question: does geostatistics work? -- 1.5 Introductory exercise -- 1.6 Does geostatistics work in the real world? -- 1.7 Exercises -- 2 Regionalized Variables -- 2.1 Summary -- 2.2 Modelling regionalized variables -- 2.3 Random functions -- 2.4 Stationary and intrinsic hypotheses -- 2.5 How to decide whether a variable is stationary -- 2.6 Spatial covariance function -- 2.7 Exercises -- 3 The Variogram -- 3.1 Summary -- 3.2 Definition of the variogram -- 3.3 Range and zone of influence -- 3.4 Behaviour near the origin -- 3.5 Anisotropies -- 3.6 Presence of a drift -- 3.7 Nested structures -- 3.8 Proportional effect -- 3.9 Hole effects and periodicity -- 3.10 Models for variograms -- 3.11 Admissible models -- 3.12 Common variogram models -- 3.13 Simulated images obtained using different variograms -- 3.14 Exercises -- 4 Experimental Variograms -- 4.1 Summary -- 4.2 How to calculate experimental variograms -- 4.3 In the plane -- 4.4 In three dimensions -- 4.5 Example 1: regular 1D data -- 4.6 Example 2: calculating experimental variograms in 2D -- 4.7 Variogram cloud -- 4.8 Fitting a variogram model -- 4.9 Troublesome variograms -- 4.10 Exercises -- 5 Structural Analysis -- 5.1 Summary -- 5.2 Steps in a case study -- 5.3 Case studies -- 5.4 An iron ore deposit -- 5.5 Second case study: an archaean gold deposit (M. Harley) -- 5.6 Third case study: a Witwatersrand gold deposit (M. Thurston) -- 6 Dispersion as a Function of Block Size -- 6.1 Summary -- 6.2 The support of a regionalized variable -- 6.3 Variance of a point within a volume -- 6.4 Variance of v within V -- 6.5 Krige’s additivity relation -- 6.6 Exercise: stockpiles to homogenize coal production -- 6.7 Change of support: regularization -- 6.8 Exercise: calculating regularized variograms -- 6.9 Exercises -- 7 The Theory of Kriging -- 7.1 Summary -- 7.2 The purpose of kriging -- 7.3 Deriving the kriging equations -- 7.4 Different kriging estimators -- 7.5 Ordinary kriging -- 7.6 The OK equations for intrinsic regionalized variables -- 7.7 Exercise: Ordinary kriging of a block -- 7.8 Kriging the value of the mean -- 7.9 Simple kriging -- 7.10 The additivity theorem -- 7.11 Slope of the linear regression -- 7.12 Kriging is an exact interpolator -- 7.13 Geometric exercise showing the minimization procedure -- 7.14 Exercises -- 8 Practical Aspects of Kriging -- 8.1 Summary -- 8.2 Introduction -- 8.3 Negative weights -- 8.4 How the choice of the variogram model affects kriging -- 8.5 Screen effect -- 8.6 Symmetry in the equations -- 8.7 Testing the quality of a kriging configuration -- 8.8 Cross-validation -- 9 Case Study using Kriging -- 9.1 Summary -- 9.2 Iron ore deposit -- 9.3 Point kriging using a large neighbourhood -- 9.4 Block kriging using a large neighbourhood -- 9.5 Point kriging using smaller neighbourhoods -- 9.6 Kriging small blocks from a sparse grid -- 10 Estimating the Total Reserves -- 10.1 Summary -- 10.2 Can kriging be used to estimate global reserves? -- 10.3 Extension variance -- 10.4 Relationship to the dispersion variance -- 10.5 Area known to be mineralized -- 10.6 When the limits of the orebody are not known a priori -- 10.7 Optimal sampling grids -- 10.8 Exercises -- Appendix 1: Review of Basic Maths Concepts -- A1 What maths skills are required in linear geostatistics -- A1.1 Means and variances -- A1.2 Single and double summations -- A1.3 Exercises using summations -- Appendix 2: Due Diligence and its Implications -- A2.1 Stricter controls on ore evaluation -- A2.2 Due diligence -- A2.3 The logbook -- References -- Author Index. |
| Record Nr. | UNINA-9910480272903321 |
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Armstrong Margaret
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong
| Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong |
| Autore | Armstrong Margaret |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (XI, 155 p.) |
| Disciplina | 622 |
| Soggetto topico |
Geology
Earth sciences Applied mathematics Engineering mathematics Statistics Earth Sciences, general Mathematical and Computational Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-642-58727-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 1.1 Summary -- 1.2 Introduction -- 1.3 Applications of geostatistics in mining -- 1.4 The $64 question: does geostatistics work? -- 1.5 Introductory exercise -- 1.6 Does geostatistics work in the real world? -- 1.7 Exercises -- 2 Regionalized Variables -- 2.1 Summary -- 2.2 Modelling regionalized variables -- 2.3 Random functions -- 2.4 Stationary and intrinsic hypotheses -- 2.5 How to decide whether a variable is stationary -- 2.6 Spatial covariance function -- 2.7 Exercises -- 3 The Variogram -- 3.1 Summary -- 3.2 Definition of the variogram -- 3.3 Range and zone of influence -- 3.4 Behaviour near the origin -- 3.5 Anisotropies -- 3.6 Presence of a drift -- 3.7 Nested structures -- 3.8 Proportional effect -- 3.9 Hole effects and periodicity -- 3.10 Models for variograms -- 3.11 Admissible models -- 3.12 Common variogram models -- 3.13 Simulated images obtained using different variograms -- 3.14 Exercises -- 4 Experimental Variograms -- 4.1 Summary -- 4.2 How to calculate experimental variograms -- 4.3 In the plane -- 4.4 In three dimensions -- 4.5 Example 1: regular 1D data -- 4.6 Example 2: calculating experimental variograms in 2D -- 4.7 Variogram cloud -- 4.8 Fitting a variogram model -- 4.9 Troublesome variograms -- 4.10 Exercises -- 5 Structural Analysis -- 5.1 Summary -- 5.2 Steps in a case study -- 5.3 Case studies -- 5.4 An iron ore deposit -- 5.5 Second case study: an archaean gold deposit (M. Harley) -- 5.6 Third case study: a Witwatersrand gold deposit (M. Thurston) -- 6 Dispersion as a Function of Block Size -- 6.1 Summary -- 6.2 The support of a regionalized variable -- 6.3 Variance of a point within a volume -- 6.4 Variance of v within V -- 6.5 Krige’s additivity relation -- 6.6 Exercise: stockpiles to homogenize coal production -- 6.7 Change of support: regularization -- 6.8 Exercise: calculating regularized variograms -- 6.9 Exercises -- 7 The Theory of Kriging -- 7.1 Summary -- 7.2 The purpose of kriging -- 7.3 Deriving the kriging equations -- 7.4 Different kriging estimators -- 7.5 Ordinary kriging -- 7.6 The OK equations for intrinsic regionalized variables -- 7.7 Exercise: Ordinary kriging of a block -- 7.8 Kriging the value of the mean -- 7.9 Simple kriging -- 7.10 The additivity theorem -- 7.11 Slope of the linear regression -- 7.12 Kriging is an exact interpolator -- 7.13 Geometric exercise showing the minimization procedure -- 7.14 Exercises -- 8 Practical Aspects of Kriging -- 8.1 Summary -- 8.2 Introduction -- 8.3 Negative weights -- 8.4 How the choice of the variogram model affects kriging -- 8.5 Screen effect -- 8.6 Symmetry in the equations -- 8.7 Testing the quality of a kriging configuration -- 8.8 Cross-validation -- 9 Case Study using Kriging -- 9.1 Summary -- 9.2 Iron ore deposit -- 9.3 Point kriging using a large neighbourhood -- 9.4 Block kriging using a large neighbourhood -- 9.5 Point kriging using smaller neighbourhoods -- 9.6 Kriging small blocks from a sparse grid -- 10 Estimating the Total Reserves -- 10.1 Summary -- 10.2 Can kriging be used to estimate global reserves? -- 10.3 Extension variance -- 10.4 Relationship to the dispersion variance -- 10.5 Area known to be mineralized -- 10.6 When the limits of the orebody are not known a priori -- 10.7 Optimal sampling grids -- 10.8 Exercises -- Appendix 1: Review of Basic Maths Concepts -- A1 What maths skills are required in linear geostatistics -- A1.1 Means and variances -- A1.2 Single and double summations -- A1.3 Exercises using summations -- Appendix 2: Due Diligence and its Implications -- A2.1 Stricter controls on ore evaluation -- A2.2 Due diligence -- A2.3 The logbook -- References -- Author Index. |
| Record Nr. | UNINA-9910789215703321 |
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Armstrong Margaret
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong
| Basic Linear Geostatistics [[electronic resource] /] / by Margaret Armstrong |
| Autore | Armstrong Margaret |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (XI, 155 p.) |
| Disciplina | 622 |
| Soggetto topico |
Geology
Earth sciences Applied mathematics Engineering mathematics Statistics Earth Sciences, general Mathematical and Computational Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-642-58727-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 1.1 Summary -- 1.2 Introduction -- 1.3 Applications of geostatistics in mining -- 1.4 The $64 question: does geostatistics work? -- 1.5 Introductory exercise -- 1.6 Does geostatistics work in the real world? -- 1.7 Exercises -- 2 Regionalized Variables -- 2.1 Summary -- 2.2 Modelling regionalized variables -- 2.3 Random functions -- 2.4 Stationary and intrinsic hypotheses -- 2.5 How to decide whether a variable is stationary -- 2.6 Spatial covariance function -- 2.7 Exercises -- 3 The Variogram -- 3.1 Summary -- 3.2 Definition of the variogram -- 3.3 Range and zone of influence -- 3.4 Behaviour near the origin -- 3.5 Anisotropies -- 3.6 Presence of a drift -- 3.7 Nested structures -- 3.8 Proportional effect -- 3.9 Hole effects and periodicity -- 3.10 Models for variograms -- 3.11 Admissible models -- 3.12 Common variogram models -- 3.13 Simulated images obtained using different variograms -- 3.14 Exercises -- 4 Experimental Variograms -- 4.1 Summary -- 4.2 How to calculate experimental variograms -- 4.3 In the plane -- 4.4 In three dimensions -- 4.5 Example 1: regular 1D data -- 4.6 Example 2: calculating experimental variograms in 2D -- 4.7 Variogram cloud -- 4.8 Fitting a variogram model -- 4.9 Troublesome variograms -- 4.10 Exercises -- 5 Structural Analysis -- 5.1 Summary -- 5.2 Steps in a case study -- 5.3 Case studies -- 5.4 An iron ore deposit -- 5.5 Second case study: an archaean gold deposit (M. Harley) -- 5.6 Third case study: a Witwatersrand gold deposit (M. Thurston) -- 6 Dispersion as a Function of Block Size -- 6.1 Summary -- 6.2 The support of a regionalized variable -- 6.3 Variance of a point within a volume -- 6.4 Variance of v within V -- 6.5 Krige’s additivity relation -- 6.6 Exercise: stockpiles to homogenize coal production -- 6.7 Change of support: regularization -- 6.8 Exercise: calculating regularized variograms -- 6.9 Exercises -- 7 The Theory of Kriging -- 7.1 Summary -- 7.2 The purpose of kriging -- 7.3 Deriving the kriging equations -- 7.4 Different kriging estimators -- 7.5 Ordinary kriging -- 7.6 The OK equations for intrinsic regionalized variables -- 7.7 Exercise: Ordinary kriging of a block -- 7.8 Kriging the value of the mean -- 7.9 Simple kriging -- 7.10 The additivity theorem -- 7.11 Slope of the linear regression -- 7.12 Kriging is an exact interpolator -- 7.13 Geometric exercise showing the minimization procedure -- 7.14 Exercises -- 8 Practical Aspects of Kriging -- 8.1 Summary -- 8.2 Introduction -- 8.3 Negative weights -- 8.4 How the choice of the variogram model affects kriging -- 8.5 Screen effect -- 8.6 Symmetry in the equations -- 8.7 Testing the quality of a kriging configuration -- 8.8 Cross-validation -- 9 Case Study using Kriging -- 9.1 Summary -- 9.2 Iron ore deposit -- 9.3 Point kriging using a large neighbourhood -- 9.4 Block kriging using a large neighbourhood -- 9.5 Point kriging using smaller neighbourhoods -- 9.6 Kriging small blocks from a sparse grid -- 10 Estimating the Total Reserves -- 10.1 Summary -- 10.2 Can kriging be used to estimate global reserves? -- 10.3 Extension variance -- 10.4 Relationship to the dispersion variance -- 10.5 Area known to be mineralized -- 10.6 When the limits of the orebody are not known a priori -- 10.7 Optimal sampling grids -- 10.8 Exercises -- Appendix 1: Review of Basic Maths Concepts -- A1 What maths skills are required in linear geostatistics -- A1.1 Means and variances -- A1.2 Single and double summations -- A1.3 Exercises using summations -- Appendix 2: Due Diligence and its Implications -- A2.1 Stricter controls on ore evaluation -- A2.2 Due diligence -- A2.3 The logbook -- References -- Author Index. |
| Record Nr. | UNINA-9910813106203321 |
|
Armstrong Margaret
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Basic Modern Algebra with Applications [[electronic resource] /] / by Mahima Ranjan Adhikari, Avishek Adhikari
| Basic Modern Algebra with Applications [[electronic resource] /] / by Mahima Ranjan Adhikari, Avishek Adhikari |
| Autore | Adhikari Mahima Ranjan |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIX, 637 p. 48 illus.) : online resource |
| Disciplina | 512 |
| Soggetto topico |
Algebra
Commutative algebra Commutative rings Group theory Number theory Category theory (Mathematics) Homological algebra Applied mathematics Engineering mathematics Commutative Rings and Algebras Group Theory and Generalizations Number Theory Category Theory, Homological Algebra Applications of Mathematics |
| ISBN | 81-322-1599-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Prerequisites: Basics of Set Theory and Integers -- Groups: Introductory Concepts -- Actions of Groups, Topological Groups and semigroups -- Rings: Introductory Concepts -- Ideals of Rings: Introductory concepts -- Factorization in Integral Domains and in Polynomial Rings -- Rings with Chain Conditions -- Vector Spaces -- Modules -- Algebraic Aspects of Number Theory -- Algebraic Numbers -- Introduction to Mathematical Cryptography -- Appendix A: Some Aspects of Semirings -- Appendix B: Category Theory -- Appendix C: A Brief Historical Note. . |
| Record Nr. | UNINA-9910300144103321 |
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Adhikari Mahima Ranjan
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| New Delhi : , : Springer India : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Die Basis der Vielfalt [[electronic resource] ] : Geometrie als Grundlage und Anregung des Denkens - 10. Tagung der DGfGG / / herausgegeben von Udo Beyer
| Die Basis der Vielfalt [[electronic resource] ] : Geometrie als Grundlage und Anregung des Denkens - 10. Tagung der DGfGG / / herausgegeben von Udo Beyer |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2016 |
| Descrizione fisica | 1 online resource (X, 265 S. 213 Abb., 161 Abb. in Farbe.) |
| Disciplina | 741.6 |
| Soggetto topico |
Graphic design
Applied mathematics Engineering mathematics Geometry Graphic Design Applications of Mathematics |
| ISBN | 3-658-14126-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Dem Gemeinen einen hohen Sinn geben - Elementare geometrische Formen als Impulse zur Beschäftigung mit Mathematik -- Beobachtungen zur Beweisart in Euklids Elementen -- Geometrie und ihre Regeln als Herausforderung zu Kreativität -- Zufall und Absicht in der Kurve – ein Werkzeug der Gestaltung -- Die freien Formen der Geometrie -- Polyedrische Zyklen -- Spiegel im Spiegel – zur Geometrie hinter der Musik von Arvo Pärt -- Das Horizontalitätsmissverständnis -- gerade – gebogen – gekrümmt - Geometrische Erzeugung gekrümmter Flächen -- Analyse wandelbarer, starrer Faltstrukturen mit Anwendungsbeispielen -- Das erweiterte Oloid als Hüllfläche einer Schar von Quadriken -- Ersetzen von Raumkurven und abwickelbaren Regelflächen durch berührend verheftete Kreissektoren bzw. Drehkegelsektoren -- Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen -- Dualität in nicht-polyhedralen Körpern -- Förderung des Raumvorstellungsvermögens -- GeodiKon – Eine kompakte Zusammenfassung -- Aus Bewegung wird Form -- Zur Ausstellung der Objekte von Sabine Classen. |
| Record Nr. | UNINA-9910485052903321 |
| Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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