### Control of Biological and Drug-Delivery Systems for Chemical, Biomedical, and Pharmaceutical Engineering

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- Published: February 2013
- Region: Global

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Advanced Engineering Mathematics. 10th Edition International Student Version

- Published: May 2011
- Region: Global
- 1152 Pages
- John Wiley and Sons Ltd

The tenth edition of this bestselling text includes examples in more detail and more applied exercises; both changes are aimed at making the material more relevant and accessible to readers. Kreyszig introduces engineers and computer scientists to advanced math topics as they relate to practical problems. It goes into the following topics at great depth differential equations, partial differential equations, Fourier analysis, vector analysis, complex analysis, and linear algebra/differential equations.

PART A Ordinary Differential Equations (ODEs).

CHAPTER 1 First–Order ODEs.

1.1 Basic Concepts. Modeling.

1.2 Geometric Meaning of y' = f(x, y). Direction Fields.

1.3 Separable ODEs. Modeling.

1.4 Exact ODEs. Integrating Factors

1.5 Linear ODEs. Bernoulli Equation. Population Dynamics.

1.6 Orthogonal Trajectories. Optional.

1.7 Existence and Uniqueness of Solutions.

Chapter 1 Review Questions and Problems.

Summary of Chapter 1.

CHAPTER 2 Second–Order Linear ODEs.

2.1 Homogeneous Linear ODEs of Second Order.

2.2 Homogeneous Linear ODEs with Constant Coefficients.

2.3 Differential Operators. Optional.

2.4 Modeling: Free Oscillations. (Mass–Spring System).

2.5 Euler–Cauchy Equations.

2.6 Existence and Uniqueness of Solutions. Wronskian.

2.7 Nonhomogeneous ODEs.

2.8 Modeling: Forced Oscillations. Resonance.

2.9 Modeling: Electric Circuits.

2.10 Solution by Variation of Parameters.

Chapter 2 Review Questions and Problems.

Summary of Chapter 2.

CHAPTER 3 Higher Order Linear ODEs.

3.1 Homogeneous Linear ODEs.

3.2 Homogeneous Linear ODEs with Constant Coefficients.

3.3 Nonhomogeneous Linear ODEs.

Chapter 3 Review Questions and Problems.

Summary of Chapter 3.

CHAPTER 4 Systems of ODEs. Phase Plane. Qualitative Methods.

4.0 Basics of Matrices and Vectors.

4.1 Systems of ODEs as Models.

4.2 Basic Theory of Systems of ODEs.

4.3 Constant–Coefficient Systems. Phase Plane Method.

4.4 Criteria for Critical Points. Stability.

4.5 Qualitative Methods for Nonlinear Systems.

4.6 Nonhomogeneous Linear Systems of ODEs.

Chapter 4 Review Questions and Problems.

Summary of Chapter 4.

CHAPTER 5 Series Solutions of ODEs. Special Functions.

5.1 Power Series Method.

5.2 Legendre's Equation. Legendre Polynomials Pn(x).

5.3 Frobenius Method.

5.4 Bessel's Equation. Bessel Functions Jv(x).

5.5 Bessel Functions of the Second Kind Yv(x).

Chapter 5 Review Questions and Problems.

Summary of Chapter 5.

CHAPTER 6 Laplace Transforms.

6.1 Laplace Transform. Inverse Transform. Linearity. ^–Shifting.

6.2 Transforms of Derivatives and Integrals. ODEs.

6.3 Unit Step Function. f–Shifting.

6.4 Short Impulses. Dirac's Delta Function. Partial Fractions.

6.5 Convolution. Integral Equations.

6.6 Differentiation and Integration of Transforms.

6.7 Systems of ODEs.

6.8 Laplace Transform: General Formulas.

6.9 Table of Laplace Transforms.

Chapter 6 Review Questions and Problems.

Summary of Chapter 6.

PART B Linear Algebra. Vector Calculus.

CHAPTER 7 Linear Algebra: Matrices, Vectors, Determinants. Linear Systems.

7.1 Matrices, Vectors: Addition and Scalar Multiplication.

7.2 Matrix Multiplication.

7.3 Linear Systems of Equations. Gauss Elimination.

7.4 Linear Independence. Rank of a Matrix. Vector Space.

7.5 Solutions of Linear Systems: Existence, Uniqueness.

7.6 For Reference: Second– and Third–Order Determinants.

7.7 Determinants. Cramer's Rule.

7.8 Inverse of a Matrix. Gauss–Jordan Elimination.

7.9 Vector Spaces, Inner Product Spaces. Linear Transformations Optional.

Chapter 7 Review Questions and Problems.

Summary of Chapter 7.

CHAPTER 8 Linear Algebra: Matrix Eigenvalue Problems.

8.1 Eigenvalues, Eigenvectors.

8.2 Some Applications of Eigenvalue Problems.

8.3 Symmetric, Skew–Symmetric, and Orthogonal Matrices.

8.4 Eigenbases. Diagonalization. Quadratic Forms.

8.5 Complex Matrices and Forms. Optional.

Chapter 8 Review Questions and Problems.

Summary of Chapter 8.

CHAPTER 9 Vector Differential Calculus. Grad, Div, Curl.

9.1 Vectors in 2–Space and 3–Space.

9.2 Inner Product (Dot Product).

9.3 Vector Product (Cross Product).

9.4 Vector and Scalar Functions and Fields. Derivatives.

9.5 Curves. Arc Length. Curvature. Torsion.

9.6 Calculus Review: Functions of Several Variables. Optional.

9.7 Gradient of a Scalar Field. Directional Derivative.

9.8 Divergence of a Vector Field.

9.9 Curl of a Vector Field.

Chapter 9 Review Questions and Problems.

Summary of Chapter 9.

CHAPTER 10 Vector Integral Calculus. Integral Theorems.

10.1 Line Integrals.

10.2 Path Independence of Line Integrals.

10.3 Calculus Review: Double Integrals. Optional.

10.4 Green's Theorem in the Plane.

10.5 Surfaces for Surface Integrals.

10.6 Surface Integrals.

10.7 Triple Integrals. Divergence Theorem of Gauss.

10.8 Further Applications of the Divergence Theorem.

10.9 Stokes's Theorem.

Chapter 10 Review Questions and Problems.

Summary of Chapter 10.

PART C Fourier Analysis. Partial Differential Equations (PDEs).

CHAPTER 11 Fourier Series, Integrals, and Transforms.

11.1 Fourier Series.

11.2 Functions of Any Period p = 2L. Even and Odd Functions. Half–Range Expansions.

11.3 Forced Oscillations.

11.4 Approximation by Trigonometric Polynomials.

11.5 Sturm–Liouville Problems. Orthogonal Functions.

11.6 Orthogonal Eigenfunction Expansions.

11.7 Fourier Integral.

11.8 Fourier Cosine and Sine Transforms.

11.9 Fourier Transform. Discrete and Fast Fourier Transforms.

11.10 Tables of Transforms.

Chapter 11 Review Questions and Problems.

Summary of Chapter 11.

CHAPTER 12 Partial Differential Equations (PDEs).

12.1 Basic Concepts.

12.2 Modeling: Vibrating String, Wave Equation.

12.3 Solution by Separating Variables. Use of Fourier Series.

12.4 D'Alembert's Solution of the Wave Equation. Characteristics.

12.5 Introduction to the Heat Equation.

12.6 Heat Equation: Solution by Fourier Series.

12.7 Heat Equation: Solution by Fourier Integrals and Transforms.

12.8 Modeling: Membrane, Two–Dimensional Wave Equation.

12.9 Rectangular Membrane. Double Fourier Series.

12.10 Laplacian in Polar Coordinates. Circular Membrane. Fourier–Bessel Series.

12.11 Laplace's Equation in Cylindrical and Spherical Coordinates. Potential.

12.12 Solution of PDEs by Laplace Transforms.

Chapter 12 Review Questions and Problems.

Summary of Chapter 12.

PART D Complex Analysis.

CHAPTER 13 Complex Numbers and Functions.

13.1 Complex Numbers. Complex Plane.

13.2 Polar Form of Complex Numbers. Powers and Roots.

13.3 Derivative. Analytic Function.

13.4 Cauchy–Riemann Equations. Laplace's Equation.

13.5 Exponential Function.

13.6 Trigonometric and Hyperbolic Functions.

13.7 Logarithm. General Power.

Chapter 13 Review Questions and Problems.

Summary of Chapter 13.

CHAPTER 14 Complex Integration.

14.1 Line Integral in the Complex Plane.

14.2 Cauchy's Integral Theorem.

14.3 Cauchy's Integral Formula.

14.4 Derivatives of Analytic Functions.

Chapter 14 Review Questions and Problems.

Summary of Chapter 14.

CHAPTER 15 Power Series, Taylor Series.

15.1 Sequences, Series, Convergence Tests.

15.2 Power Series.

15.3 Functions Given by Power Series.

15.4 Taylor and Maclaurin Series.

15.5 Uniform Convergence. Optional.

Chapter 15 Review Questions and Problems.

Summary of Chapter 15.

CHAPTER 16 Laurent Series. Residue Integration.

16.1 Laurent Series.

16.2 Singularities and Zeros. Infinity.

16.3 Residue Integration Method.

16.4 Residue Integration of Real Integrals.

Chapter 16 Review Questions and Problems.

Summary of Chapter 16.

CHAPTER 17 Conformal Mapping.

17.1 Geometry of Analytic Functions: Conformal Mapping.

17.2 Linear Fractional Transformations.

17.3 Special Linear Fractional Transformations.

17.4 Conformal Mapping by Other Functions.

17.5 Riemann Surfaces. Optional.

Chapter 17 Review Questions and Problems.

Summary of Chapter 17.

CHAPTER 18 Complex Analysis and Potential Theory.

18.1 Electrostatic Fields.

18.2 Use of Conformal Mapping. Modeling.

18.3 Heat Problems.

18.4 Fluid Flow.

18.5 Poisson's Integral Formula for Potentials.

18.6 General Properties of Harmonic Functions.

Chapter 18 Review Questions and Problems.

Summary of Chapter 18.

PART E Numeric Analysis.

Software.

CHAPTER 19 Numerics in General.

19.1 Introduction.

19.2 Solution of Equations by Iteration.

19.3 Interpolation.

19.4 Spline Interpolation.

19.5 Numeric Integration and Differentiation.

Chapter 19 Review Questions and Problems.

Summary of Chapter 19.

CHAPTER 20 Numeric Linear Algebra.

20.1 Linear Systems: Gauss Elimination.

20.2 Linear Systems: LU–Factorization, Matrix Inversion.

20.3 Linear Systems: Solution by Iteration.

20.4 Linear Systems: Ill–Conditioning, Norms.

20.5 Least Squares Method.

20.6 Matrix Eigenvalue Problems: Introduction.

20.7 Inclusion of Matrix Eigenvalues.

20.8 Power Method for Eigenvalues.

20.9 Tridiagonalization and QR–Factorization.

Chapter 20 Review Questions and Problems.

Summary of Chapter 20.

CHAPTER 21 Numerics for ODEs and PDEs.

21.1 Methods for First–Order ODEs.

21.2 Multistep Methods.

21.3 Methods for Systems and Higher Order ODEs.

21.4 Methods for Elliptic PDEs.

21.5 Neumann and Mixed Problems. Irregular Boundary.

21.6 Methods for Parabolic PDEs.

21.7 Method for Hyperbolic PDEs.

Chapter 21 Review Questions and Problems.

Summary of Chapter 21.

PART F Optimization, Graphs.

CHAPTER 22 Unconstrained Optimization. Linear Programming.

22.1 Basic Concepts. Unconstrained Optimization.

22.2 Linear Programming.

22.3 Simplex Method.

22.4 Simplex Method: Difficulties.

Chapter 22 Review Questions and Problems.

Summary of Chapter 22.

CHAPTER 23 Graphs. Combinatorial Optimization.

23.1 Graphs and Digraphs.

23.2 Shortest Path Problems. Complexity.

23.3 Bellman's Principle. Dijkstra's Algorithm.

23.4 Shortest Spanning Trees: Greedy Algorithm.

23.5 Shortest Spanning Trees: Prim's Algorithm.

23.6 Flows in Networks.

23.7 Maximum Flow: Ford–Fulkerson Algorithm.

23.8 Bipartite Graphs. Assignment Problems.

Chapter 23 Review Questions and Problems.

Summary of Chapter 23.

PART G Probability, Statistics.

Online Chapters (Accessable through the books companion sites)

CHAPTER 24 Data Analysis. Probability Theory. (Online)

24.1 Data Representation. Average. Spread.

24.2 Experiments, Outcomes, Events.

24.3 Probability.

24.4 Permutations and Combinations.

24.5 Random Variables. Probability Distributions.

24.6 Mean and Variance of a Distribution.

24.7 Binomial, Poisson, and Hypergeometric Distributions.

24.8 Normal Distribution.

24.9 Distributions of Several Random Variables.

Chapter 24 Review Questions and Problems.

Summary of Chapter 24.

CHAPTER 25 Mathematical Statistics. (Online)

25.1 Introduction. Random Sampling.

25.2 Point Estimation of Parameters.

25.3 Confidence Intervals.

25.4 Testing Hypotheses. Decisions.

25.5 Quality Control.

25.6 Acceptance Sampling.

25.7 Goodness of Fit. *2–Test.

25.8 Nonparametric Tests.

25.9 Regression. Fitting Straight Lines. Correlation.

Chapter 25 Review Questions and Problems.

Summary of Chapter 25.

Erwin Kreyszig

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