HOME > 상세정보

상세정보

Essential math skills for engineers

Essential math skills for engineers (4회 대출)

자료유형
단행본
개인저자
Paul, Clayton R.
서명 / 저자사항
Essential math skills for engineers / Clayton R. Paul.
발행사항
Hoboken, N.Y. :   Wiley ,   c2009.  
형태사항
xii, 231 p. : ill. ; 24 cm.
ISBN
9780470405024
서지주기
Includes bibliographical references and index.
일반주제명
Engineering mathematics. Mathematics.
000 00740camuu2200241 a 4500
001 000045596553
005 20100603111657
008 100601s2009 nyua b 001 0 eng d
010 ▼a 2008042568
020 ▼a 9780470405024
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a QA37.3 ▼b .P39 2009
082 0 0 ▼a 620.001/51 ▼2 22
090 ▼a 620.00151 ▼b P324e
100 1 ▼a Paul, Clayton R.
245 1 0 ▼a Essential math skills for engineers / ▼c Clayton R. Paul.
260 ▼a Hoboken, N.Y. : ▼b Wiley , ▼c c2009.
300 ▼a xii, 231 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Engineering mathematics.
650 0 ▼a Mathematics.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 620.00151 P324e 등록번호 121194785 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

Clayton R. Paul(지은이)

<전자기학>

정보제공 : Aladin

목차

Preface.

1 What Do Engineers Do?

2 Miscellaneous Math Skills.

2.1 Equations of Lines, Planes, and Circles.

2.2 Areas and Volumes of Common Shapes.

2.3 Roots of a Quadratic Equation.

2.4 Logarithms.

2.5 Reduction of Fractions and Lowest Common Denominators.

2.6 Long Division.

2.7 Trigonometry.

2.7.1 The Common Trigonometric Functions: Sine, Cosine, and Tangent.

2.7.2 Areas of Triangles.

2.7.3 The Hyperbolic Trigonometric Functions: Sinh, Cosh, and Tanh.

2.8 Complex Numbers and Algebra, and Euler’s Identity.

2.8.1 Solution of Differential Equations Having Sinusoidal Forcing Functions.

2.9 Common Derivatives and Their Interpretation.

2.10 Common Integrals and Their Interpretation.

2.11 Numerical Integration.

3 Solution of Simultaneous, Linear, Algebraic Equations.

3.1 How to Identify Simultaneous, Linear, Algebraic Equations.

3.2 The Meaning of a Solution.

3.3 Cramer’s Rule and Symbolic Equations.

3.4 Gauss Elimination.

3.5 Matrix Algebra.

4 Solution of Linear, Constant-Coeffi cient, Ordinary Differential Equations.

4.1 How to Identify Linear, Constant-Coeffi cient, Ordinary Differential Equations.

4.2 Where They Arise: The Meaning of a Solution.

4.3 Solution of First-Order Equations.

4.3.1 The Homogeneous Solution.

4.3.2 The Forced Solution for “Nice” f(t).

4.3.3 The Total Solution.

4.3.4 A Special Case.

4.4 Solution of Second-Order Equations.

4.4.1 The Homogeneous Solution.

4.4.2 The Forced Solution for “Nice” f(t).

4.4.3 The Total Solution.

4.4.4 A Special Case.

4.5 Stability of the Solution.

4.6 Solution of Simultaneous Sets of Ordinary Differential Equations with the Differential Operator.

4.6.1 Using the Differential Operator to Verify Solutions.

4.7 Numerical (Computer) Solutions.

5 Solution of Linear, Constant-Coeffi cient, Difference Equations.

5.1 Where Difference Equations Arise.

5.2 How to Identify Linear, Constant-Coeffi cient Difference Equations.

5.3 Solution of First-Order Equations.

5.3.1 The Homogeneous Solution.

5.3.2 The Forced Solution for “Nice” f(n).

5.3.3 The Total Solution.

5.3.4 A Special Case.

5.4 Solution of Second-Order Equations.

5.4.1 The Homogeneous Solution.

5.4.2 The Forced Solution for “Nice” f(n).

5.4.3 The Total Solution.

5.4.4 A Special Case.

5.5 Stability of the Solution.

5.6 Solution of Simultaneous Sets of Difference Equations with the Difference Operator.

5.6.1 Using the Difference Operator to Verify Solutions.

6 Solution of Linear, Constant-Coeffi cient, Partial Differential Equations.

6.1 Common Engineering Partial Differential Equations.

6.2 The Linear, Constant-Coeffi cient, Partial Differential Equation.

6.3 The Method of Separation of Variables.

6.4 Boundary Conditions and Initial Conditions.

6.5 Numerical (Computer) Solutions via Finite Differences: Conversion to Difference Equations.

7 The Fourier Series and Fourier Transform.

7.1 Periodic Functions.

7.2 The Fourier Series.

7.3 The Fourier Transform.

8 The Laplace Transform.

8.1 Transforms of Important Functions.

8.2 Useful Transform Properties.

8.3 Transforming Differential Equations.

8.4 Obtaining the Inverse Transform Using Partial Fraction Expansions.

9 Mathematics of Vectors.

9.1 Vectors and Coordinate Systems.

9.2 The Line Integral.

9.3 The Surface Integral.

9.4 Divergence.

9.4.1 The Divergence Theorem.

9.5 Curl.

9.5.1 Stokes’ Theorem.

9.6 The Gradient of a Scalar Field.

Index.


정보제공 : Aladin

관련분야 신착자료