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The Second Edition of this successful text is unique in its approach to motivation, precision, explanations and methods. Topics are introduced in a more accessible way then subsequent sections develop these further. Motivating the concepts, modeling, and technology are emphasized. An engaging writing style appeals to students.
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The Second Edition of this successful text is unique in its approach to motivation, precision, explanations and methods. Topics are introduced in a more accessible way then subsequent sections develop these further. Motivating the concepts, modeling, and technology are emphasized. An engaging writing style appeals to students.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- 2nd edition
- Seitenzahl: 906
- Erscheinungstermin: 21. Januar 2023
- Englisch
- Gewicht: 1160g
- ISBN-13: 9781032475059
- ISBN-10: 1032475056
- Artikelnr.: 73395238
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: CRC Press
- 2nd edition
- Seitenzahl: 906
- Erscheinungstermin: 21. Januar 2023
- Englisch
- Gewicht: 1160g
- ISBN-13: 9781032475059
- ISBN-10: 1032475056
- Artikelnr.: 73395238
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Kenneth B. Howell earned bachelor degrees in both mathematics and physics from Rose-Hulman Institute of Technology, and master's and doctoral degrees in mathematics from Indiana University. For more than thirty years, he was a professor in the Department of Mathematical Sciences of the University of Alabama in Huntsville (retiring in 2014). During his academic career, Dr. Howell published numerous research articles in applied and theoretical mathematics in prestigious journals, served as a consulting research scientist for various companies and federal agencies in the space and defense industries, and received awards from the College and University for outstanding teaching. He is also the author of Principles of Fourier Analysis (Chapman & Hall/CRC, 2001).
The Basics. The Starting Point: Basic Concepts and Terminology. Integration
and Differential Equations. First-Order Equations. Some Basics about
First-Order Equations.Separable First-Order Equations. Linear First-Order
Equations. Simplifying Through Substitution. The Exact Form and General
Integrating Factors. Slope Fields: Graphing Solutions Without the
Solutions. Euler's Numerical Method. The Art and Science of Modeling with
First-Order Equations. Second- and Higher-Order Equations. Higher-Order
Equations: Extending First-Order Concepts. Higher-Order Linear Equations
and the Reduction of Order Method. General Solutions to Homogeneous Linear
Differential Equations. Verifying the Big Theorems and an Introduction to
Differential Operators. Second-Order Homogeneous Linear Equations with
Constant Coefficients. Springs: Part I. Arbitrary Homogeneous Linear
Equations with Constant Coefficients. Euler Equations. Nonhomogeneous
Equations in General. Method of Undetermined Coefficients. Springs: Part
II. Variation of Parameters.The Laplace Transform. The Laplace Transfrom
(Intro). Differentiation and the Laplace Transform. The Inverse Laplace
Transform. Convolution. Piecewise-Defined Functions and Periodic Functions.
Delta Functions. Power Series and Modified Power Series Solutions. Series
Solutions: Preliminaries. Power Series Solutions I: Basic Computational
Methods. Power Series Solutions II: Generalizations and Theory.Modified
Power Series Solutions and the Basic Method of Frobenius. The Big Theorem
on the Frobenius Method, with Applications. Validating the Method of
Frobenius. Systems of Differential Equations (A Brief Introduction). 35.
Systems of Differential Equations: A Starting Point. Critical Points,
Direction Fields and Trajectories.
and Differential Equations. First-Order Equations. Some Basics about
First-Order Equations.Separable First-Order Equations. Linear First-Order
Equations. Simplifying Through Substitution. The Exact Form and General
Integrating Factors. Slope Fields: Graphing Solutions Without the
Solutions. Euler's Numerical Method. The Art and Science of Modeling with
First-Order Equations. Second- and Higher-Order Equations. Higher-Order
Equations: Extending First-Order Concepts. Higher-Order Linear Equations
and the Reduction of Order Method. General Solutions to Homogeneous Linear
Differential Equations. Verifying the Big Theorems and an Introduction to
Differential Operators. Second-Order Homogeneous Linear Equations with
Constant Coefficients. Springs: Part I. Arbitrary Homogeneous Linear
Equations with Constant Coefficients. Euler Equations. Nonhomogeneous
Equations in General. Method of Undetermined Coefficients. Springs: Part
II. Variation of Parameters.The Laplace Transform. The Laplace Transfrom
(Intro). Differentiation and the Laplace Transform. The Inverse Laplace
Transform. Convolution. Piecewise-Defined Functions and Periodic Functions.
Delta Functions. Power Series and Modified Power Series Solutions. Series
Solutions: Preliminaries. Power Series Solutions I: Basic Computational
Methods. Power Series Solutions II: Generalizations and Theory.Modified
Power Series Solutions and the Basic Method of Frobenius. The Big Theorem
on the Frobenius Method, with Applications. Validating the Method of
Frobenius. Systems of Differential Equations (A Brief Introduction). 35.
Systems of Differential Equations: A Starting Point. Critical Points,
Direction Fields and Trajectories.
The Basics. The Starting Point: Basic Concepts and Terminology. Integration
and Differential Equations. First-Order Equations. Some Basics about
First-Order Equations.Separable First-Order Equations. Linear First-Order
Equations. Simplifying Through Substitution. The Exact Form and General
Integrating Factors. Slope Fields: Graphing Solutions Without the
Solutions. Euler's Numerical Method. The Art and Science of Modeling with
First-Order Equations. Second- and Higher-Order Equations. Higher-Order
Equations: Extending First-Order Concepts. Higher-Order Linear Equations
and the Reduction of Order Method. General Solutions to Homogeneous Linear
Differential Equations. Verifying the Big Theorems and an Introduction to
Differential Operators. Second-Order Homogeneous Linear Equations with
Constant Coefficients. Springs: Part I. Arbitrary Homogeneous Linear
Equations with Constant Coefficients. Euler Equations. Nonhomogeneous
Equations in General. Method of Undetermined Coefficients. Springs: Part
II. Variation of Parameters.The Laplace Transform. The Laplace Transfrom
(Intro). Differentiation and the Laplace Transform. The Inverse Laplace
Transform. Convolution. Piecewise-Defined Functions and Periodic Functions.
Delta Functions. Power Series and Modified Power Series Solutions. Series
Solutions: Preliminaries. Power Series Solutions I: Basic Computational
Methods. Power Series Solutions II: Generalizations and Theory.Modified
Power Series Solutions and the Basic Method of Frobenius. The Big Theorem
on the Frobenius Method, with Applications. Validating the Method of
Frobenius. Systems of Differential Equations (A Brief Introduction). 35.
Systems of Differential Equations: A Starting Point. Critical Points,
Direction Fields and Trajectories.
and Differential Equations. First-Order Equations. Some Basics about
First-Order Equations.Separable First-Order Equations. Linear First-Order
Equations. Simplifying Through Substitution. The Exact Form and General
Integrating Factors. Slope Fields: Graphing Solutions Without the
Solutions. Euler's Numerical Method. The Art and Science of Modeling with
First-Order Equations. Second- and Higher-Order Equations. Higher-Order
Equations: Extending First-Order Concepts. Higher-Order Linear Equations
and the Reduction of Order Method. General Solutions to Homogeneous Linear
Differential Equations. Verifying the Big Theorems and an Introduction to
Differential Operators. Second-Order Homogeneous Linear Equations with
Constant Coefficients. Springs: Part I. Arbitrary Homogeneous Linear
Equations with Constant Coefficients. Euler Equations. Nonhomogeneous
Equations in General. Method of Undetermined Coefficients. Springs: Part
II. Variation of Parameters.The Laplace Transform. The Laplace Transfrom
(Intro). Differentiation and the Laplace Transform. The Inverse Laplace
Transform. Convolution. Piecewise-Defined Functions and Periodic Functions.
Delta Functions. Power Series and Modified Power Series Solutions. Series
Solutions: Preliminaries. Power Series Solutions I: Basic Computational
Methods. Power Series Solutions II: Generalizations and Theory.Modified
Power Series Solutions and the Basic Method of Frobenius. The Big Theorem
on the Frobenius Method, with Applications. Validating the Method of
Frobenius. Systems of Differential Equations (A Brief Introduction). 35.
Systems of Differential Equations: A Starting Point. Critical Points,
Direction Fields and Trajectories.