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Applied probabilistic calculus for financial engineering : an introduction using R / / by Bertram K.C. Chan
| Applied probabilistic calculus for financial engineering : an introduction using R / / by Bertram K.C. Chan |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 332.015192 |
| Soggetto topico |
Financial engineering - Mathematical models
Probabilities Calculus R (Computer program language) |
| ISBN |
1-119-38808-2
1-119-38805-8 1-119-38804-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910271007303321 |
Chan B. K. C (Bertram Kim-Cheong)
|
||
| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied probabilistic calculus for financial engineering : an introduction using R / / by Bertram K.C. Chan
| Applied probabilistic calculus for financial engineering : an introduction using R / / by Bertram K.C. Chan |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 332.015192 |
| Soggetto topico |
Financial engineering - Mathematical models
Probabilities Calculus R (Computer program language) |
| ISBN |
1-119-38808-2
1-119-38805-8 1-119-38804-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910815612803321 |
|
Chan B. K. C (Bertram Kim-Cheong)
|
||
| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan, PhD, PE
| Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan, PhD, PE |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Pubbl/distr/stampa | New York, New York : , : Springer Publishing Company, , 2016 |
| Descrizione fisica | 1 online resource (460 p.) |
| Disciplina | 610.15195 |
| Soggetto topico |
Biometry
Epidemiology Programming languages (Electronic computers) Public health |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-8261-1026-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; Share Biostatistics for Epidemiology and Public Health Using R; Chapter 1: Introduction; 1.1 Medicine, Preventive Medicine, Public Health, and Epidemiology; Medicine; Preventive Medicine and Public Health; Public Health and Epidemiology; Review Questions for Section 1.1; 1.2 Personal Health and Public Health; Personal Health Versus Public Health; Review Questions for Section 1.2; 1.3 Research and Measurements in EPDM and PH; EPDM: The Basic Science of PH; Main Epidemiologic Functions; The Cause of Diseases; Exposure Measurement in Epidemiology
Additional IssuesReview Questions for Section 1.3; 1.4 BIOS and EPDM; Review Questions for Section 1.4; References; Chapter 2: Research and Design in Epidemiology and Public Health; Introduction; 2.1 Causation and Association in Epidemiology and Public Health; The Bradford-Hill Criteria for Causation and Association in Epidemiology; Legal Interpretation Using Epidemiology; Disease Occurrence; Review Questions for Section 2.1; 2.2 Causation and Inference in Epidemiology and Public Health; Rothman's Diagrams for Sufficient Causation of Diseases; Causal Inferences; Using the Causal Criteria Judging Scientific EvidenceReview Questions for Section 2.2; 2.3 Biostatistical Basis of Inference; Modes of Inference; Levels of Measurement; Frequentist BIOS in EPDM; Confidence Intervals in Epidemiology and Public Health; Bayesian Credible Interval; Review Questions for Section 2.3; 2.4 BIOS in EPDM and PH; Applications of BIOS; BIOS in EPDM and PH; Processing and Analyzing Basic Epidemiologic Data; Analyzing Epidemiologic Data; Using R; Evaluating a Single Measure of Occurrence; Poisson Count (Incidence) and Rate Data; Binomial Risk and Prevalence Data Evaluating Two Measures of Occurrence-Comparison of Risk: Risk Ratio and Attributable RiskComparing Two Rate Estimates: Rate Ratio rr; Comparing Two Risk Estimates: Risk Ratio RR and Disease (Morbidity) Odds Ratio DOR; Comparing Two Odds Estimates From Case-Control: The Salk Polio Vaccine Epidemiologic Study; Review Questions for Section 2.4; Exercises for Chapter 2; Using Probability Theory; Disease Symptoms in Clinical Drug Trials; Risks and Odds in Epidemiology; Case-Control Epidemiologic Study; Mortality, Morbidity, and Fertility Rates; Incidence Rates in Case-Cohort Survival Analysis PrevalenceMortality Rates; Estimating Sample Sizes; References; Appendix; Chapter 3: Data Analysis Using R Programming; Introduction; 3.1 Data and Data Processing; Data Coding; Data Capture; Data Editing; Imputations; Data Quality; Producing Results; Review Questions for Section 3.1; 3.2 Beginning R; R and Biostatistics; A First Session Using R; The R Environment; Review Questions for Section 3.2; 3.3 R as a Calculator; Mathematical Operations Using R; Assignment of Values in R and Computations Using Vectors and Matrices; Computations in Vectors and Simple Graphics Use of Factors in R Programming |
| Record Nr. | UNINA-9910460494803321 |
|
Chan B. K. C (Bertram Kim-Cheong)
|
||
| New York, New York : , : Springer Publishing Company, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan
| Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Pubbl/distr/stampa | New York, New York : , : Springer Publishing Company, , 2016 |
| Descrizione fisica | 1 online resource (460 p.) |
| Disciplina | 610.15195 |
| Soggetto topico |
Biometry
Epidemiology Programming languages (Electronic computers) Public health R (Computer program language) |
| ISBN | 0-8261-1026-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; Share Biostatistics for Epidemiology and Public Health Using R; Chapter 1: Introduction; 1.1 Medicine, Preventive Medicine, Public Health, and Epidemiology; Medicine; Preventive Medicine and Public Health; Public Health and Epidemiology; Review Questions for Section 1.1; 1.2 Personal Health and Public Health; Personal Health Versus Public Health; Review Questions for Section 1.2; 1.3 Research and Measurements in EPDM and PH; EPDM: The Basic Science of PH; Main Epidemiologic Functions; The Cause of Diseases; Exposure Measurement in Epidemiology
Additional IssuesReview Questions for Section 1.3; 1.4 BIOS and EPDM; Review Questions for Section 1.4; References; Chapter 2: Research and Design in Epidemiology and Public Health; Introduction; 2.1 Causation and Association in Epidemiology and Public Health; The Bradford-Hill Criteria for Causation and Association in Epidemiology; Legal Interpretation Using Epidemiology; Disease Occurrence; Review Questions for Section 2.1; 2.2 Causation and Inference in Epidemiology and Public Health; Rothman's Diagrams for Sufficient Causation of Diseases; Causal Inferences; Using the Causal Criteria Judging Scientific EvidenceReview Questions for Section 2.2; 2.3 Biostatistical Basis of Inference; Modes of Inference; Levels of Measurement; Frequentist BIOS in EPDM; Confidence Intervals in Epidemiology and Public Health; Bayesian Credible Interval; Review Questions for Section 2.3; 2.4 BIOS in EPDM and PH; Applications of BIOS; BIOS in EPDM and PH; Processing and Analyzing Basic Epidemiologic Data; Analyzing Epidemiologic Data; Using R; Evaluating a Single Measure of Occurrence; Poisson Count (Incidence) and Rate Data; Binomial Risk and Prevalence Data Evaluating Two Measures of Occurrence-Comparison of Risk: Risk Ratio and Attributable RiskComparing Two Rate Estimates: Rate Ratio rr; Comparing Two Risk Estimates: Risk Ratio RR and Disease (Morbidity) Odds Ratio DOR; Comparing Two Odds Estimates From Case-Control: The Salk Polio Vaccine Epidemiologic Study; Review Questions for Section 2.4; Exercises for Chapter 2; Using Probability Theory; Disease Symptoms in Clinical Drug Trials; Risks and Odds in Epidemiology; Case-Control Epidemiologic Study; Mortality, Morbidity, and Fertility Rates; Incidence Rates in Case-Cohort Survival Analysis PrevalenceMortality Rates; Estimating Sample Sizes; References; Appendix; Chapter 3: Data Analysis Using R Programming; Introduction; 3.1 Data and Data Processing; Data Coding; Data Capture; Data Editing; Imputations; Data Quality; Producing Results; Review Questions for Section 3.1; 3.2 Beginning R; R and Biostatistics; A First Session Using R; The R Environment; Review Questions for Section 3.2; 3.3 R as a Calculator; Mathematical Operations Using R; Assignment of Values in R and Computations Using Vectors and Matrices; Computations in Vectors and Simple Graphics Use of Factors in R Programming |
| Record Nr. | UNINA-9910797755503321 |
|
Chan B. K. C (Bertram Kim-Cheong)
|
||
| New York, New York : , : Springer Publishing Company, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan
| Biostatistics for epidemiology and public health using R / / Bertram K. C. Chan |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Pubbl/distr/stampa | New York, New York : , : Springer Publishing Company, , 2016 |
| Descrizione fisica | 1 online resource (460 p.) |
| Disciplina | 610.15195 |
| Soggetto topico |
Biometry
Epidemiology Programming languages (Electronic computers) Public health R (Computer program language) |
| ISBN | 0-8261-1026-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; Share Biostatistics for Epidemiology and Public Health Using R; Chapter 1: Introduction; 1.1 Medicine, Preventive Medicine, Public Health, and Epidemiology; Medicine; Preventive Medicine and Public Health; Public Health and Epidemiology; Review Questions for Section 1.1; 1.2 Personal Health and Public Health; Personal Health Versus Public Health; Review Questions for Section 1.2; 1.3 Research and Measurements in EPDM and PH; EPDM: The Basic Science of PH; Main Epidemiologic Functions; The Cause of Diseases; Exposure Measurement in Epidemiology
Additional IssuesReview Questions for Section 1.3; 1.4 BIOS and EPDM; Review Questions for Section 1.4; References; Chapter 2: Research and Design in Epidemiology and Public Health; Introduction; 2.1 Causation and Association in Epidemiology and Public Health; The Bradford-Hill Criteria for Causation and Association in Epidemiology; Legal Interpretation Using Epidemiology; Disease Occurrence; Review Questions for Section 2.1; 2.2 Causation and Inference in Epidemiology and Public Health; Rothman's Diagrams for Sufficient Causation of Diseases; Causal Inferences; Using the Causal Criteria Judging Scientific EvidenceReview Questions for Section 2.2; 2.3 Biostatistical Basis of Inference; Modes of Inference; Levels of Measurement; Frequentist BIOS in EPDM; Confidence Intervals in Epidemiology and Public Health; Bayesian Credible Interval; Review Questions for Section 2.3; 2.4 BIOS in EPDM and PH; Applications of BIOS; BIOS in EPDM and PH; Processing and Analyzing Basic Epidemiologic Data; Analyzing Epidemiologic Data; Using R; Evaluating a Single Measure of Occurrence; Poisson Count (Incidence) and Rate Data; Binomial Risk and Prevalence Data Evaluating Two Measures of Occurrence-Comparison of Risk: Risk Ratio and Attributable RiskComparing Two Rate Estimates: Rate Ratio rr; Comparing Two Risk Estimates: Risk Ratio RR and Disease (Morbidity) Odds Ratio DOR; Comparing Two Odds Estimates From Case-Control: The Salk Polio Vaccine Epidemiologic Study; Review Questions for Section 2.4; Exercises for Chapter 2; Using Probability Theory; Disease Symptoms in Clinical Drug Trials; Risks and Odds in Epidemiology; Case-Control Epidemiologic Study; Mortality, Morbidity, and Fertility Rates; Incidence Rates in Case-Cohort Survival Analysis PrevalenceMortality Rates; Estimating Sample Sizes; References; Appendix; Chapter 3: Data Analysis Using R Programming; Introduction; 3.1 Data and Data Processing; Data Coding; Data Capture; Data Editing; Imputations; Data Quality; Producing Results; Review Questions for Section 3.1; 3.2 Beginning R; R and Biostatistics; A First Session Using R; The R Environment; Review Questions for Section 3.2; 3.3 R as a Calculator; Mathematical Operations Using R; Assignment of Values in R and Computations Using Vectors and Matrices; Computations in Vectors and Simple Graphics Use of Factors in R Programming |
| Record Nr. | UNINA-9910808606603321 |
|
Chan B. K. C (Bertram Kim-Cheong)
|
||
| New York, New York : , : Springer Publishing Company, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simultaneous Mass Transfer and Chemical Reactions in Engineering Science / / Bertram K. C. Chan
| Simultaneous Mass Transfer and Chemical Reactions in Engineering Science / / Bertram K. C. Chan |
| Autore | Chan B. K. C (Bertram Kim-Cheong) |
| Pubbl/distr/stampa | Weinheim, Germany : , : WILEY-VCH GmbH, , [2023] |
| Descrizione fisica | 1 online resource (671 pages) |
| Disciplina | 530.415 |
| Soggetto topico |
Mass transfer
Chemical engineering |
| ISBN |
3-527-82352-2
3-527-82350-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Preface -- Author Biography -- Chapter 1 Introduction to Simultaneous Mass Transfer and Chemical Reactions in Engineering Science -- 1.1 Gas-Liquid Reactions -- 1.1.1 Simultaneous Biomolecular Reactions and Mass Transfer -- 1.1.1.1 The Biomedical Environment -- 1.1.1.2 The Industrial Chemistry and Chemical Engineering Environment -- 1.1.2 Conclusions -- 1.1.3 Summary -- 1.2 The Modeling of Gas-Liquid Reactions -- 1.2.1 Film Theory of Mass Transfer -- 1.2.2 Surface Renewal Theory of Mass Transfer -- 1.2.3 Absorption into a Quiescent Liquid -- 1.2.3.1 Absorption Accompanied by Chemical Reactions -- 1.2.3.2 Irreversible Reactions -- 1.2.4 Absorption into Agitated Liquids -- 1.2.4.1 An Example of a First‐Order Reaction -- 1.2.4.2 The Film Model -- 1.3 The Mathematical Theory of Simultaneous Mass Transfer and Chemical Reactions -- 1.3.1 Physical Absorption -- 1.3.2 Chemical Absorption -- 1.3.2.1 Preliminary Remarks on Simultaneous Mass Transfer (Absorption) with Chemical Reactions -- 1.3.2.2 Some Solutions to the Mathematical Models of the Theory of Simultaneous Mass Transfer and Chemical Reactions -- 1.3.2.3 Approximate Closed Form Solutions -- 1.3.3 Numerical Solutions -- 1.4 Diffusive Models of Environmental Transport -- Further Reading -- Chapter 2 Data Analysis Using R Programming -- 2.1 Data and Data Processing -- 2.1.1 Introduction -- 2.1.2 Data Coding -- 2.1.2.1 Automated Coding Systems -- 2.1.3 Data Capture -- 2.1.4 Data Editing -- 2.1.5 Imputations -- 2.1.6 Data Quality -- 2.1.7 Quality Assurance -- 2.1.8 Quality Control -- 2.1.9 Quality Management in Statistical Agencies -- 2.1.10 Producing Results -- 2.2 Beginning R -- 2.2.1 R and Statistics -- 2.2.2 A First Session Using R -- 2.2.3 The R Environment (This is Important!) -- 2.3 R as a Calculator -- 2.3.1 Mathematical Operations Using R.
2.3.2 Assignment of Values in R, and Computations Using Vectors and Matrices -- 2.3.3 Computations in Vectors and Simple Graphics -- 2.3.4 Use of Factors in R Programming -- 2.3.4.1 Body Mass Index -- 2.3.5 Simple Graphics -- 2.3.6 x as Vectors and Matrices in Statistics -- 2.3.7 Some Special Functions that Create Vectors -- 2.3.8 Arrays and Matrices -- 2.3.9 Use of the Dimension Function dim() in R -- 2.3.10 Use of the Matrix Function matrix() in R -- 2.3.11 Some Useful Functions Operating on Matrices in R: colnames, rownames, and t (for transpose) -- 2.3.12 NA "Not Available" for Missing Values in Datasets -- 2.3.13 Special Functions that Create Vectors -- 2.4 Using R in Data Analysis in Human Genetic Epidemiology -- 2.4.1 Entering Data at the R Command Prompt -- 2.4.1.1 Creating a Data‐Frame for R Computation Using the EXCEL Spreadsheet (on a Windows Platform) -- 2.4.1.2 Obtaining a Data Frame from a Text File -- 2.4.1.3 Data Entry and Analysis Using the Function data.entry() -- 2.4.1.4 Data Entry Using Several Available R Functions -- 2.4.1.5 Data Entry and Analysis Using the Function scan() -- 2.4.1.6 Data Entry and Analysis Using the Function Source() -- 2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R -- 2.4.1.8 Human Genetic Epidemiology Using R: The CRAN Package Genetics -- 2.4.2 The Function list() and the Construction of data.frame() in R -- 2.4.3 Stock Market Risk Analysis -- 2.4.3.1 Univariate, Bivariate, and Multivariate Data Analysis -- 2.A Appendix. Documentation for the Plot Function -- 2.A.1 Description -- 2.A.2 Usage -- 2.A.3 Arguments -- 2.A.4 Details -- 2.A.5 See Also -- Further Reading -- Chapter 3 A Theory of Simultaneous Mass Transfer and Chemical Reactions with Numerical Solutions -- 3.1 Introduction -- 3.1.1 A Classical Experimental Study of Simultaneous Absorption of Carbon Dioxide and Ammonia in Water. 3.1.2 Physical Absorption -- 3.1.2.1 Results -- 3.2 Biomolecular Reactions -- 3.2.1 Occurrences of Simultaneous Biomolecular Reactions and Mass Transfer Are Common in Many Biomedical Environments -- 3.3 Some Examples in Chemical Engineering Sciences -- 3.3.1 Simultaneous Chemical Reactions and Mass Transfer -- 3.4 Some Models in the Diffusional Operations of Environmental Transport Unaccompanied by Chemical Reactions -- 3.4.1 Diffusion Models of Environmental Transport -- 3.4.2 Advection-Diffusion Models of Environmental Transport -- 3.5 The Concept of Diffusion -- 3.5.1 Publishers' Remarks -- 3.5.2 Fick's Laws of Diffusion -- 3.5.2.1 Fick's First Law of Diffusion (Steady‐State Law) -- 3.5.2.2 Fick's Second Law of Diffusion -- 3.5.3 Derivation of Fick's Laws of Diffusion -- 3.5.3.1 Remarks: Additional Remarks on Fick's Laws of Diffusion -- 3.5.3.2 Example Solution in One Dimension: Diffusion Length -- 3.6 The Concept of the Mass Transfer Coefficient -- 3.7 Theoretical Models of Mass Transfer -- 3.7.1 Nernst One‐Film Theory Model and the Lewis-Whitman Two‐Film Model -- 3.7.1.1 Gas Transfer Rates -- 3.7.1.2 The Nernst One‐Film Model -- 3.7.1.3 Mass Transfer Coefficients -- 3.7.1.4 The Lewis-Whitman Two‐Film Model -- 3.7.1.5 The Two‐Film Model -- 3.7.1.6 Single‐Film Control -- 3.7.1.7 Applications -- 3.7.2 Higbie's Penetration Theory Model -- 3.7.3 Danckwerts' Surface Renewal Theory Model -- 3.7.4 Boundary Layer Theory Model -- 3.7.4.1 Fluid-Fluid Interfaces -- 3.7.4.2 Fluid-Solid Interfaces -- 3.7.4.3 Example: Prandtl's Experimental Mass Transfer from a Flat Plate -- 3.7.5 Mass Transfer Under Laminar Flow Conditions -- 3.7.6 Mass Transfer Past Solids Under Turbulent Flow -- 3.7.7 Some Interesting Special Conditions of Mass Transfer -- 3.7.7.1 Equimolar Counter‐Diffusion of A and B (NA & -- equals -- − NB) -- 3.7.7.2 For Liquid‐Phase Diffusion. 3.7.7.3 Conversions Formulas for Mass Transfer Coefficients in Different Forms -- 3.7.8 Applications to Chemical Engineering Design -- 3.7.8.1 Designing a Packed Column for the Absorption of Gaseous CO2 by a Liquid Solution of NaOH, Using the Mathematical Model of Simultaneous Gas Absorption with Chemical Reactions -- 3.7.8.2 Calculation of Packed Height Requirement for Reducing the Chlorine Concentration in a Chlorine-Air Mixture -- 3.8 Theory of Simultaneous Bimolecular Reactions and Mass Transfer in Two Dimensions -- 3.8.1 Numerical Solutions of a Model in Terms of Simultaneous Semi‐linear Parabolic Differential Equations -- 3.8.1.1 Theory of Simultaneous Bimolecular Reactions and Mass Transfer in Two Dimensions -- 3.8.2 Existence and Uniqueness Theorems of First‐Order Linear Ordinary Differential Equations -- 3.8.2.1 Differential Equations -- 3.8.2.2 Contraction Mappings on a Banach Space -- 3.8.2.3 Application to Differential Equations -- 3.8.3 An Existence Theorem of the Governing Simultaneous Semi‐linear Parabolic Partial Differential Equations -- 3.8.4 A Uniqueness Theorem of the Governing Simultaneous Semi‐linear Parabolic Partial Differential Equations -- 3.9 Theory of Simultaneous Bimolecular Reactions and Mass Transfer in Two Dimensions: Further Cases of Practical Interests -- 3.9.1 Case of Stagnant Film of Finite Thickness - Second‐Order Irreversible Reactions -- 3.9.2 Case of Unsteady‐State Absorption in the Stagnant Liquid - Slow First‐Order Reaction (S& -- P 325, 328) -- 3.9.3 Simultaneous Absorption of Two Gases in a Liquid in Which Each Then Reacts With a Third Component in the Liquid -- 3.9.3.1 Mathematical Modeling -- 3.9.3.2 Analysis of the Model: A + B -- 3.9.3.3 Discussions -- 3.9.3.4 Further Theoretical Analysis. 3.9.4 Simultaneous Absorption of Two Gases in a Liquid in Which Each Then Reacts with a Third Component in the Liquid -- 3.9.4.1 The Mathematical Model -- 3.9.4.2 Analysis of the Model -- 3.9.4.3 Boundary Conditions -- 3.9.4.4 Mass Transfer Coefficients -- 3.9.5 Cases of Slow First‐Order Reactions -- 3.9.5.1 Case of Unsteady‐State Absorption in the Stagnant Liquid -- 3.9.5.2 Case of Unsteady‐State Absorption in the Stagnant Liquid - Slow First‐Order Reactions -- 3.10 Further Theoretical Analysis -- Further Reading -- Chapter 4 Numerical Worked Examples Using R for Simultaneous Mass Transfer and Chemical Reactions -- 4.1 Advection and Convection -- 4.1.1 Advection -- 4.1.2 Advection vs. Convection -- 4.1.2.1 Meteorology -- 4.1.2.2 The Mathematics of Advection -- 4.1.2.3 The Advection Equation -- 4.1.2.4 The Advection Operator in the Incompressible Navier-Stokes Equations -- 4.2 Worked Examples -- 4.3 Partial Differential Equations -- 4.4 A Parabolic PDE -- 4.4.1 Steady‐State Solution -- 4.4.2 The Method of Lines -- Further Reading -- Chapter 5 More Numerical Worked Examples Using R for Simultaneous Mass Transfer and Chemical Reactions -- 5.1 Introduction -- 5.2 Advection -- 5.2.1 Advection vs. Convection -- 5.2.1.1 Meteorology -- 5.2.1.2 The Mathematics of Advection -- 5.2.1.3 The Advection Equation -- 5.2.1.4 Solving the Advection Equation -- 5.2.1.5 The Advection Operator in the Incompressible Navier-Stokes Equations -- 5.3 Solving Partial Differential Equations Using the R Package ReacTran -- 5.3.1 Worked Examples -- 5.4 Some Final Remarks on Solving Partial Differential Equations Using the R Package ReacTran -- 5.4.1 Partial Differential Equations -- 5.4.2 A Parabolic PDE -- 5.4.2.1 Steady‐State Solution -- 5.4.2.2 The Method of Lines -- Further Reading. Chapter 6 Solving Partial Differential Equations, Generally Applicable to Modeling Simultaneous Mass Transfer and Chemical Reactions, Using the R Package ReacTran. |
| Record Nr. | UNINA-9910830278903321 |
|
Chan B. K. C (Bertram Kim-Cheong)
|
||
| Weinheim, Germany : , : WILEY-VCH GmbH, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||