Search Results - "Partial Differential Equations"
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- MATHEMATICS / Applied
- MATHEMATICS / Differential Equations 5
- Differential equations 4
- Mathematical models 4
- Differential equations, Partial 3
- MATHEMATICS / Calculus 3
- MATHEMATICS / General 3
- MATHEMATICS / Mathematical Analysis 3
- MATHEMATICS / Number Systems 3
- MEDICAL / Biotechnology 3
- Numerical analysis 3
- Computer programs 2
- MEDICAL / General 2
- R (Computer program language) 2
- Atherosclerosis 1
- BUSINESS & ECONOMICS / Operations Research 1
- Chemical engineering 1
- Differential equations, Elliptic 1
- Eigenvalues 1
- Engineering mathematics 1
- Equations, Simultaneous 1
- Finite element method 1
- Generalized spaces 1
- HEALTH & FITNESS / Diseases / General 1
- Harmonic analysis 1
- Laplace transformation 1
- MATHEMATICS / Geometry / General 1
- MATHEMATICS / Probability & Statistics / General 1
- MEDICAL / Clinical Medicine 1
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Partial Differential Equations Analytical Methods and Applications.
Published 2019Taylor & Francis
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PARTIAL DIFFERENTIAL EQUATIONS an introduction.
Published 2020Taylor & Francis
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Time delay ODE/PDE models : applications in biomedical science and engineering /
Published 2020Table of Contents: “…Introduction to Delay Ordinary Differential Equations -- Introduction to Delay Partial Differential Equations -- Hepatitis B Virus DPDE Model -- Tumor Induced Angiogenesis -- Metastatic Cancer Cell Invasion of Tissue -- Subcutaneous Injection of Insulin -- Hematopoietic Stem Cells -- Drug Eluting Stents.…”
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6
Special functions and analysis of differential equations /
Published 2021Taylor & Francis
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ODE/PDE analysis of multiple myeloma : programming in R /
Published 2020Taylor & Francis
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Moving boundary PDE analysis : biomedical applications in R /
Published 2019Taylor & Francis
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9
Simultaneous differential equations and multi-dimensional vibrations /
Published 2018Taylor & Francis
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A first course in ordinary differential equations /
Published 2021Taylor & Francis
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11
A numerical primer for the chemical engineer /
Published 2019Table of Contents: “…1 The role of models in chemical engineering1.1 Introduction1.2 The idea of a model1.4 Model analysis1.5 Model solution strategies1.6 Summary1.7 Exercises 2 Errors in computer simulations2.1 Introduction2.2 Significant digits2.3 Round-off and truncation errors2.4 Break errors2.5 Loss of digits2.6 Ill-conditioned problems2.7 (Un-)stable methods2.8 Summary2.9 Exercises 3 Linear equations3.1 Introduction3.2 MATLAB3.3 Linear systems3.4 The inverse of a matrix3.5 The determinant of a matrix3.6 Useful properties3.7 Matrix ranking3.8 Eigenvalues and eigenvectors3.9 Spectral decomposition3.10 Summary3.11 Exercises 4 Elimination methods4.1 Introduction4.2 MATLAB4.3 Gaussian elimination4.4 LU factorization4.5 Summary4.6 Exercises 5 Iterative methods5.1 Introduction5.2 Laplace's equation5.3 LU factorization5.5 The Jacobi method5.6 Example for the Jacobi method5.7 Summary5.8 Exercises 6 Nonlinear equations6.1 Introduction6.2 Newton method 1D6.3 Newton method 2D6.4 Reduced Newton step method6.5 Quasi-Newton method6.6 Summary6.7 Exercises 7 Ordinary differential equations7.1 Introduction7.2 Euler's method7.3 Accuracy and stability of Euler's method7.4 The implicit Euler method7.5 Stability of the implicit Euler method7.6 Systems of ODEs7.7 Stability of ODE systems7.8 Stiffness of ODE systems7.9 Higher-order methods7.10 Summary7.11 Exercises 8 Numerical integration8.1 Introduction8.2 Euler's method8.3 The trapezoid method8.4 Simpson's method8.5 Estimation of errors using numerical integration8.6 The Richardson correction8.7 Summary8.8 Exercises 9 Partial differential equations 9.1 Introduction9.2 Transport PDEs9.3 Finite volumes9.4 Discretizing the control volumes9.5 Transfer of heat to fluid in a pipe9.6 Simulation of the heat PDE9.7 Summary9.8 Exercises 10 Data regression and curve fitting10.1 Introduction10.2 The least squares method 10.3 Residual analysis10.4 ANOVA analysis10.5 Confidence limits10.6 Summary10.7 Exercises 11 Optimization11.1 Introduction11.2 Linear programming11.3 Nonlinear programming11.4 Integer programming11.5 Summary11.6 Exercises 12 Basics of MATLAB12.1 Introduction12.2 The MATLAB user interface12.3 The array structure12.4 Basic calculations12.5 Plotting12.6 Reading and writing data12.7 Functions and m-files12.8 Repetitive operations 13 Numerical methods in Excel13.1 Introduction13.2 Basic functions in Excel13.3 The Excel solver13.4 Solving nonlinear equations in Excel13.5 Differentiation in Excel13.6 Curve fitting in Excel 14 Case studies 14.1 Introduction14.2 Modeling a separation system14.3 Modeling a chemical reactor system14.4 PVT behavior of pure substances14.5 Dynamic modeling of a distillation column14.6 Dynamic modeling of an extraction cascade (ODEs)14.7 Distributed parameter models for a tubular reactor14.8 Modeling of an extraction column14.9 Fitting of kinetic data14.10 Fitting of NRTL model parameters14.11 Optimizing a crude oil refinery14.12 Planning in a manufacturing line BibliographyIndex…”
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12
Sturm-Liouville problems : theory and numerical implementation /
Published 2019Taylor & Francis
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Mathematical theory of subdivision : finite element and wavelet methods /
Published 2019Taylor & Francis
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