Descripción
Este libro pretende introducir a los estudiantes de ingeniería y física en aquellas áreas de las matemáticas que, desde un punto de vista moderno, parecen ser las más importantes en relación con los problemas prácticos. Los temas se eligen de acuerdo con la frecuencia de aparición en las aplicaciones. Se tomaron en cuenta las nuevas ideas de la formación matemática moderna, expresadas en simposios recientes sobre educación en ingeniería.
Advanced Engineering Mathematics, puede adaptarse a aquellas instituciones que han ofrecido una formación matemática extendida durante mucho tiempo, así como a aquellas que pretenden seguir la tendencia general de ampliar el programa de instrucción en matemáticas.
Este texto de matemáticas de ingeniería, ha sido el líder en el mercado desde sus inicios por su cobertura integral, matemáticas cuidadosas y correctas, ejercicios sobresalientes y partes temáticas independientes para una máxima flexibilidad.
Esta edición clásica, la tercera edición, expone la tradición que brindó a los instructores y estudiantes un recurso integral y para la enseñanza y el aprendizaje de las matemáticas de ingeniería, es decir, matemáticas aplicadas para ingenieros y físicos, matemáticos e informáticos, así como para miembros de otras disciplinas.
Chapter 1: Ordinary Differential Equations of the First Order
1.1 Basic Concepts and Ideas
1.2 Geometrical Considerations. Isoclines
1.3 Separable Equations
1.4 Equations Reducible to Separable Form
1.5 Exact Differential Equations
1.6 Integrating Factors
1.7 Linear First-Order Differential Equations
1.8 Variation of Parameters
1.9 Electric Circuits
1.10 Families of Curves. Orthogonal Trajectories
1.11 Picard's Iteration Method
1.12 Existence and Uniqueness of Solutions
Chapter 2: Ordinary Linear Differential Equations
2.1 Homogeneous Linear Equations of the Second Order
2.2 Homogeneous Second-Order Equations with Constant Coefficients
2.3 General Solution. Fundamental System
2.4 Complex Roots of the Characteristic Equation. Initial Value Problem
2.5 Double Root of the Characteristic Equation
2.6 Free Oscillations
2.7 Cauchy Equation
2.8 Existence and Uniqueness of Solutions
2.9 Homogeneous Linear Equations of Arbitrary Order
2.10 Homogeneous Linear Equations of Arbitrary Order with Constant Coefficients
2.11 Nonhomogeneous Linear Equations
2.12 A Method for Solving Nonhomogeneous Linear Equations
2.13 Forced Oscillations. Resonance
2.14 Electric Circuits
2.15 Complex Method for Obtaining Particular Solutions
2.16 General Method for Solving Nonhomogeneous Equations
Chapter 3: Power Series Solutions of Differential Equations
3.1 The Power Series Method
3.2 Theoretical Basis of the Power Series Method
3.3 Legendre's Equation. Legendre Polynomials
3.4 Extended Power Series Method. Indicial Equation
3.5 Bessel's Equation. Bessel Functions of the First Kind
3.6 Bessel Functions of the Second Kind
3.7 Orthogonal Sets of Functions
3.8 Sturm-Liouville Problem
3.9 Orthogonality of Legendre Polynomials and Bessel Functions
Chapter 4: Laplace Transformation
4.1 Laplace Transform. Inverse Transform. Linearity
4.2 Laplace Transforms of Derivatives and Integrals
4.3 Transformation of Ordinary Differential Equations
4.4 Partial Fractions
4.5 Examples and Applications
4.6 Differentiation and Integration of Transforms
4.7 Unit Step Function
4.8 Shifting on the r-axis
4.9 Periodic Functions
4.10 Table of Some Laplace Transforms
Chapter 5: Linear Algebra Part I: Vectors
5.1 Scalars and Vectors
5.2 Components of a Vector
5.3 Addition of VectorsMultiplication by Scalars
5.4 Vector Spaces. Linear Dependence and Independence
5.5 Inner Product (Dot Product)
5.6 Inner Product Spaces
5.7 Vector Product (Cross Product)
5.8 Vector Products in Terms of Components
5.9 Scalar Triple Product. Other Repeated Products
Chapter 6: Linear Algebra Part II: Matrices and Determinants
6.1 Basic Concepts
6.2 Addition of MatricesMultiplication by Numbers
6.3 Transpose of a Matrix. Special Matrices
6.4 Matrix Multiplication
6.5 Systems of Linear Equations. Gauss Elimination
6.6 Determinants of Second and Third Order
6.7 Determinants of Arbitrary Order
6.8 Rank of a Matrix. Row Equivalence
6.9 Systems of Linear Equations: Existence and General Properties of Solutions
6.10 Linear Dependence and Rank. Singular Matrices
6.11 Systems of Linear Equations: Solution by Determinants
6.12 The Inverse of a Matrix
6.13 BilinearQuadraticHermitianand Skew-Hermitian Forms
6.14 EigenvaluesEigenvectors
6.15 Eigenvalues of HermitianSkew-Hermitianand Unitary Matrices
Chapter 7: Vector Differential Calculus. Vector Fields
7.1 Scalar Fields and Vector Fields
7.2 Vector Calculus
7.3 Curves
7.4 Arc Length
7.5 Tangent. Curvature and Torsion
7.6 Velocity and Acceleration
7.7 Chain Rule and Mean Value Theorem for Functions of Several Variables
7.8 Directional Derivative. Gradient of a Scalar Field
7.9 Transformation of Coordinate Systems and Vector Components
7.10 Divergence of a Vector Field
7.11 Curl of a Vector Field
Chapter 8: Line and Surface Integrals. Integral Theorems
8.1 Line Integral
8.2 Evaluation of Line Integrals
8.3 Double Integrals
8.4 Transformation of Double Integrals into Line Integrals,
8.5 Surfaces
8.6 Tangent Plane. First Fundamental Form. Area
8.7 Surface Integrals
8.8 Triple Integrals. Divergence Theorem of Gauss
8.9 Consequences and Applications of the Divergence Theorem
8.10 Stokes's Theorem
8.11 Consequences and Applications of Stolces's Theorem
8.12 Line Integrals Independent of Path
Chapter 9: Fourier Series and Integrals
9.1 Periodic Functions. Trigonometric Series
9.2 Fourier Series. Euler Formulas
9.3 Functions Having Arbitrary Period
9.4 Even and Odd Functions
9.5 Half-Range Expansions
9.6 Determination of Fourier Coefficients Without Integration
9.7 Forced Oscillations
9.8 Approximation by Trigonometric Polynomials. Square Error
9.9 The Fourier Integral
Chapter 10: Partial Differential Equations
10.1 Basic Concepts
10.2 Vibrating String. One-Dimensional Wave Equation
10.3 Separation of Variables (Product Method)
10.4 D'AIembert's Solution of the Wave Equation
10.5 One-Dimensional Heat Flow
10.6 Heat Flow in an Infinite Bar
10.7 Vibrating Membrane. Two-Dimensional Wave Equation
10.8 Rectangular Membrane
10.9 Laplacian in Polar Coordinates
10.10 Circular Membrane. Bessel's Equation
10.11 Laplace's Equation. Potential
10.12 Laplace's Equation in Spherical Coordinates. Legendre's Equation
Chapter 11: Complex Analytic Functions
11.1 Complex Numbers. Triangle Inequality
11.2 Limit. Derivative. Analytic Function
11.3 Cauchy-Riemann Equations. Laplace's Equation,
11.4 Rational Functions. Root
11.5 Exponential Function
11.6 Trigonometric and Hyperbolic Functions
11.7 Logarithm. General Power
Chapter 12: Conformal Mapping
12.1 Mapping
12.2 Conformal Mapping
12.3 Linear Fractional Transformations
12.4 Special Linear Fractional Transformations
12.5 Mapping by Other Elementary Functions
12.6 Riemann Surfaces
Chapter 13: Complex Integrals
13.1 Line Integral in the Complex Plane
13.2 Basic Properties of the Complex Line Integral
13.3 Cauchy's Integral Theorem
13.4 Evaluation of Line Integrals by Indefinite Integration
13.5 Cauchy's Integral Formula
13.6 The Derivatives of an Analytic Function
Chapter 14: Sequences and Series
14.1 Sequences
14.2 Series
14.3 Tests for Convergence and Divergence of Series
14.4 Operations on Series
14.5 Power Series
14.6 Functions Represented by Power Series
Chapter 15: Taylor and Laurent Series
15.1 Taylor Series
15.2 Taylor Series of Elementary Functions
15.3 Practical Methods for Obtaining Power Series
15.4 Uniform Convergence
15.5 Laurent Series
15.6 Behavior of Functions at Infinity,
Chapter 16: Integration by the Method of Residues
16.1 Zeros and Singularities
16.2 Residues
16.3 The Residue Theorem
16.4 Evaluation of Real Integrals
Chapter 17: Complex Analytic Functions and Potential Theory
17.1 Electrostatic Fields
17.2 Two-Dimensional Fluid Flow
17.3 General Properties of Harmonic Functions
17.4 Poisson's Integral Formula
Chapter 18: Numerical Analysis
18.1 Errors and Mistakes. Automatic Computers
18.2 Solution of Equations by Iteration
18.3 Finite Differences
18.4 Interpolation
18.5 Numerical Integration and Differentiation. 653
18.6 Numerical Methods for First-Order Differential Equations
18.7 Numerical Methods for Second-Order Differential Equations
18.8 Systems of Linear Equations. Gauss Elimination
18.9 Systems of Linear Equations. Solution by Iteration
18.10 Systems of Linear Equations. Ill-conditioning
18.11 Method of Least Squares
18.12 Inclusion of Matrix Eigenvalues
18.13 Determination of Eigenvalues by Iteration
18.14 Asymptotic Expansions
Chapter 19: Probability and Statistics
19.1 Nature and Purpose of Mathematical Statistics
19.2 Tabular and Graphical Representation of Samples
19.3 Sample Mean and Sample Variance
19.4 Random ExperimentsOutcomesEvents
19.5 Probability
19.6 Permutations and Combinations
19.7 Random Variables. Discrete and Continuous Distributions
19.8 Mean and Variance of a Distribution.
19.9 Binomial. Poissonand Hypergeometric Distributions
19.10 Normal Distribution
19.11 Distributions of Several Random Variables
19.12 Random Sampling. Random Numbers
19.13 Estimation of Parameters
19.14 Confidence Intervals
19.15 Testing of HypothesesDecisions
19.16 Quality Control
19.17 Acceptance Sampling
19.18 Goodness of Fit. ;(;2-Test
19.19 Nonparametric Tests
19.20 Pairs of Measurements. Fitting Straight Lines
Appendix 1 References
Appendix 2 Answers to Odd-Numbered Problems
Appendix 3 Some Formulas for Special Functions
Appendix 4 Tables
Index
Consulta los datos bibliográficos principales de esta edición para identificar correctamente el recurso, revisar su autoría y verificar detalles como ISBN, tema, subtema, archivo e idioma.
- Título: Advanced Engineering Mathematics
- Autor/es: Erwin Kreyszig
- Edición: 3ra Edición
- Año de publicación: 1972
- Tipo de archivo: eBook
- Idioma: eBook en Inglés
- ISBN-10: 0471507296
- ISBN-13: 9780471507291
- Subtema: Matemáticas Avanzadas
Citar este libro
Preparando citaciones...
Aún no hay comentarios
Sé el primero en compartir tu opinión sobre este contenido.
Escribir un comentario