Description

Book Synopsis

About our authors

Joel Hass received his PhD from the University of California - Berkeley. He is currently a professor of mathematics at the University of California Davis. He has coauthored widely used calculus texts as well as calculus study guides. He is currently on the editorial board of several publications, including the Notices of the American Mathematical Society. He has been a member of the Institute for Advanced Study at Princeton University and of the Mathematical Sciences Research Institute, and he was a Sloan Research Fellow. Hass's current areas of research include the geometry of proteins, 3-dimensional manifolds, applied math, and computational complexity. In his free time Hass enjoys kayaking.

Christopher Heil received his PhD from the University of Maryland. He is currently a professor of mathematics at the Georgia Institute of Technology. He is the author of a graduate text on analysis and a number of highly cited

Table of Contents

1. Functions

1.1 Functions and Their Graphs

1.2 Combining Functions; Shifting and Scaling Graphs

1.3 Trigonometric Functions

1.4 Graphing with Software

1.5 Exponential Functions

1.6 Inverse Functions and Logarithms

2. Limits and Continuity

2.1 Rates of Change and Tangent Lines to Curves

2.2 Limit of a Function and Limit Laws

2.3 The Precise Definition of a Limit

2.4 One-Sided Limits

2.5 Continuity

2.6 Limits Involving Infinity; Asymptotes of Graphs

3. Derivatives

3.1 Tangent Lines and the Derivative at a Point

3.2 The Derivative as a Function

3.3 Differentiation Rules

3.4 The Derivative as a Rate of Change

3.5 Derivatives of Trigonometric Functions

3.6 The Chain Rule

3.7 Implicit Differentiation

3.8 Derivatives of Inverse Functions and Logarithms

3.9 Inverse Trigonometric Functions

3.10 Related Rates

3.11 Linearization and Differentials

4. Applications of Derivatives

4.1 Extreme Values of Functions on Closed Intervals

4.2 The Mean Value Theorem

4.3 Monotonic Functions and the First Derivative Test

4.4 Concavity and Curve Sketching

4.5 Indeterminate Forms and L'Hôpital's Rule

4.6 Applied Optimization

4.7 Newton's Method

4.8 Antiderivatives

5. Integrals

5.1 Area and Estimating with Finite Sums

5.2 Sigma Notation and Limits of Finite Sums

5.3 The Definite Integral

5.4 The Fundamental Theorem of Calculus

5.5 Indefinite Integrals and the Substitution Method

5.6 Definite Integral Substitutions and the Area Between Curves

6. Applications of Definite Integrals

6.1 Volumes Using Cross-Sections

6.2 Volumes Using Cylindrical Shells

6.3 Arc Length

6.4 Areas of Surfaces of Revolution

6.5 Work and Fluid Forces

6.6 Moments and Centers of Mass

7. Integrals and Transcendental Functions

7.1 The Logarithm Defined as an Integral

7.2 Exponential Change and Separable Differential Equations

7.3 Hyperbolic Functions

7.4 Relative Rates of Growth

8. Techniques of Integration

8.1 Using Basic Integration Formulas

8.2 Integration by Parts

8.3 Trigonometric Integrals

8.4 Trigonometric Substitutions

8.5 Integration of Rational Functions by Partial Fractions

8.6 Integral Tables and Computer Algebra Systems

8.7 Numerical Integration

8.8 Improper Integrals

8.9 Probability

9. First-Order Differential Equations

9.1 Solutions, Slope Fields, and Euler's Method

9.2 First-Order Linear Equations

9.3 Applications

9.4 Graphical Solutions of Autonomous Equations

9.5 Systems of Equations and Phase Planes


10. Infinite Sequences and Series

10.1 Sequences

10.2 Infinite Series

10.3 The Integral Test

10.4 Comparison Tests

10.5 Absolute Convergence; The Ratio and Root Tests

10.6 Alternating Series and Conditional Convergence

10.7 Power Series

10.8 Taylor and Maclaurin Series

10.9 Convergence of Taylor Series

10.10 Applications of Taylor Series

11. Parametric Equations and Polar Coordinates

11.1 Parametrizations of Plane Curves

11.2 Calculus with Parametric Curves

11.3 Polar Coordinates

11.4 Graphing Polar Coordinate Equations

11.5 Areas and Lengths in Polar Coordinates

11.6 Conic Sections

11.7 Conics in Polar Coordinates

12. Vectors and the Geometry of Space

12.1 Three-Dimensional Coordinate Systems

12.2 Vectors

12.3 The Dot Product

12.4 The Cross Product

12.5 Lines and Planes in Space

12.6 Cylinders and Quadric Surfaces

13. Vector-Valued Functions and Motion in Space

13.1 Curves in Space and Their Tangents

13.2 Integrals of Vector Functions; Projectile Motion

13.3 Arc Length in Space

13.4 Curvature and Normal Vectors of a Curve

13.5 Tangential and Normal Components of Acceleration

13.6 Velocity and Acceleration in Polar Coordinates

14. Partial Derivatives

14.1 Functions of Several Variables

14.2 Limits and Continuity in Higher Dimensions

14.3 Partial Derivatives

14.4 The Chain Rule

14.5 Directional Derivatives and Gradient Vectors

14.6 Tangent Planes and Differentials

14.7 Extreme Values and Saddle Points

14.8 Lagrange Multipliers

14.9 Taylor's Formula for Two Variables

14.10 Partial Derivatives with Constrained Variables

15. Multiple Integrals

15.1 Double and Iterated Integrals over Rectangles

15.2 Double Integrals over General Regions

15.3 Area by Double Integration

15.4 Double Integrals in Polar Form

15.5 Triple Integrals in Rectangular Coordinates

15.6 Applications

15.7 Triple Integrals in Cylindrical and Spherical Coordinates

15.8 Substitutions in Multiple Integrals

16. Integrals and Vector Fields

16.1 Line Integrals of Scalar Functions

16.2 Vector Fields and Line Integrals: Work, Circulation, and Flux

16.3 Path Independence, Conservative Fields, and Potential Functions

16.4 Green's Theorem in the Plane

16.5 Surfaces and Area

16.6 Surface Integrals

16.7 Stokes' Theorem

16.8 The Divergence Theorem and a Unified Theory

17. Second-Order Differential Equations (Online at www.goo.gl/MgDXPY)

17.1 Second-Order Linear Equations

17.2 Nonhomogeneous Linear Equations

17.3 Applications

17.4 Euler Equations

17.5 Power-Series Solutions

Appendices

1. Real Numbers and the Real Line

2. Mathematical Induction

3. Lines, Circles, and Parabolas

4. Proofs of Limit Theorems

5. Commonly Occurring Limits

6. Theory of the Real Numbers

7. Complex Numbers

8. The Distributive Law for Vector Cross Products

9. The Mixed Derivative Theorem and the Increment Theorem

Thomas Calculus

    Product form

    £163.34

    Includes FREE delivery

    Order before 4pm today for delivery by Mon 29 Jun 2026.

    A Paperback / softback by Joel Hass, Christopher Heil, Maurice Weir

    Out of stock


      View other formats and editions of Thomas Calculus by Joel Hass

      Publisher: Pearson Education (US)
      Publication Date: 24/05/2017
      ISBN13: 9780134439419, 978-0134439419
      ISBN10: 0134439414

      Description

      Book Synopsis

      About our authors

      Joel Hass received his PhD from the University of California - Berkeley. He is currently a professor of mathematics at the University of California Davis. He has coauthored widely used calculus texts as well as calculus study guides. He is currently on the editorial board of several publications, including the Notices of the American Mathematical Society. He has been a member of the Institute for Advanced Study at Princeton University and of the Mathematical Sciences Research Institute, and he was a Sloan Research Fellow. Hass's current areas of research include the geometry of proteins, 3-dimensional manifolds, applied math, and computational complexity. In his free time Hass enjoys kayaking.

      Christopher Heil received his PhD from the University of Maryland. He is currently a professor of mathematics at the Georgia Institute of Technology. He is the author of a graduate text on analysis and a number of highly cited

      Table of Contents

      1. Functions

      1.1 Functions and Their Graphs

      1.2 Combining Functions; Shifting and Scaling Graphs

      1.3 Trigonometric Functions

      1.4 Graphing with Software

      1.5 Exponential Functions

      1.6 Inverse Functions and Logarithms

      2. Limits and Continuity

      2.1 Rates of Change and Tangent Lines to Curves

      2.2 Limit of a Function and Limit Laws

      2.3 The Precise Definition of a Limit

      2.4 One-Sided Limits

      2.5 Continuity

      2.6 Limits Involving Infinity; Asymptotes of Graphs

      3. Derivatives

      3.1 Tangent Lines and the Derivative at a Point

      3.2 The Derivative as a Function

      3.3 Differentiation Rules

      3.4 The Derivative as a Rate of Change

      3.5 Derivatives of Trigonometric Functions

      3.6 The Chain Rule

      3.7 Implicit Differentiation

      3.8 Derivatives of Inverse Functions and Logarithms

      3.9 Inverse Trigonometric Functions

      3.10 Related Rates

      3.11 Linearization and Differentials

      4. Applications of Derivatives

      4.1 Extreme Values of Functions on Closed Intervals

      4.2 The Mean Value Theorem

      4.3 Monotonic Functions and the First Derivative Test

      4.4 Concavity and Curve Sketching

      4.5 Indeterminate Forms and L'Hôpital's Rule

      4.6 Applied Optimization

      4.7 Newton's Method

      4.8 Antiderivatives

      5. Integrals

      5.1 Area and Estimating with Finite Sums

      5.2 Sigma Notation and Limits of Finite Sums

      5.3 The Definite Integral

      5.4 The Fundamental Theorem of Calculus

      5.5 Indefinite Integrals and the Substitution Method

      5.6 Definite Integral Substitutions and the Area Between Curves

      6. Applications of Definite Integrals

      6.1 Volumes Using Cross-Sections

      6.2 Volumes Using Cylindrical Shells

      6.3 Arc Length

      6.4 Areas of Surfaces of Revolution

      6.5 Work and Fluid Forces

      6.6 Moments and Centers of Mass

      7. Integrals and Transcendental Functions

      7.1 The Logarithm Defined as an Integral

      7.2 Exponential Change and Separable Differential Equations

      7.3 Hyperbolic Functions

      7.4 Relative Rates of Growth

      8. Techniques of Integration

      8.1 Using Basic Integration Formulas

      8.2 Integration by Parts

      8.3 Trigonometric Integrals

      8.4 Trigonometric Substitutions

      8.5 Integration of Rational Functions by Partial Fractions

      8.6 Integral Tables and Computer Algebra Systems

      8.7 Numerical Integration

      8.8 Improper Integrals

      8.9 Probability

      9. First-Order Differential Equations

      9.1 Solutions, Slope Fields, and Euler's Method

      9.2 First-Order Linear Equations

      9.3 Applications

      9.4 Graphical Solutions of Autonomous Equations

      9.5 Systems of Equations and Phase Planes


      10. Infinite Sequences and Series

      10.1 Sequences

      10.2 Infinite Series

      10.3 The Integral Test

      10.4 Comparison Tests

      10.5 Absolute Convergence; The Ratio and Root Tests

      10.6 Alternating Series and Conditional Convergence

      10.7 Power Series

      10.8 Taylor and Maclaurin Series

      10.9 Convergence of Taylor Series

      10.10 Applications of Taylor Series

      11. Parametric Equations and Polar Coordinates

      11.1 Parametrizations of Plane Curves

      11.2 Calculus with Parametric Curves

      11.3 Polar Coordinates

      11.4 Graphing Polar Coordinate Equations

      11.5 Areas and Lengths in Polar Coordinates

      11.6 Conic Sections

      11.7 Conics in Polar Coordinates

      12. Vectors and the Geometry of Space

      12.1 Three-Dimensional Coordinate Systems

      12.2 Vectors

      12.3 The Dot Product

      12.4 The Cross Product

      12.5 Lines and Planes in Space

      12.6 Cylinders and Quadric Surfaces

      13. Vector-Valued Functions and Motion in Space

      13.1 Curves in Space and Their Tangents

      13.2 Integrals of Vector Functions; Projectile Motion

      13.3 Arc Length in Space

      13.4 Curvature and Normal Vectors of a Curve

      13.5 Tangential and Normal Components of Acceleration

      13.6 Velocity and Acceleration in Polar Coordinates

      14. Partial Derivatives

      14.1 Functions of Several Variables

      14.2 Limits and Continuity in Higher Dimensions

      14.3 Partial Derivatives

      14.4 The Chain Rule

      14.5 Directional Derivatives and Gradient Vectors

      14.6 Tangent Planes and Differentials

      14.7 Extreme Values and Saddle Points

      14.8 Lagrange Multipliers

      14.9 Taylor's Formula for Two Variables

      14.10 Partial Derivatives with Constrained Variables

      15. Multiple Integrals

      15.1 Double and Iterated Integrals over Rectangles

      15.2 Double Integrals over General Regions

      15.3 Area by Double Integration

      15.4 Double Integrals in Polar Form

      15.5 Triple Integrals in Rectangular Coordinates

      15.6 Applications

      15.7 Triple Integrals in Cylindrical and Spherical Coordinates

      15.8 Substitutions in Multiple Integrals

      16. Integrals and Vector Fields

      16.1 Line Integrals of Scalar Functions

      16.2 Vector Fields and Line Integrals: Work, Circulation, and Flux

      16.3 Path Independence, Conservative Fields, and Potential Functions

      16.4 Green's Theorem in the Plane

      16.5 Surfaces and Area

      16.6 Surface Integrals

      16.7 Stokes' Theorem

      16.8 The Divergence Theorem and a Unified Theory

      17. Second-Order Differential Equations (Online at www.goo.gl/MgDXPY)

      17.1 Second-Order Linear Equations

      17.2 Nonhomogeneous Linear Equations

      17.3 Applications

      17.4 Euler Equations

      17.5 Power-Series Solutions

      Appendices

      1. Real Numbers and the Real Line

      2. Mathematical Induction

      3. Lines, Circles, and Parabolas

      4. Proofs of Limit Theorems

      5. Commonly Occurring Limits

      6. Theory of the Real Numbers

      7. Complex Numbers

      8. The Distributive Law for Vector Cross Products

      9. The Mixed Derivative Theorem and the Increment Theorem

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