Solutions Manual for Calculus: A Complete Course 9th Edition by Robert Adams – Ebook PDF Instant Download/Delivery: 0134154363, 978-0134154367
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Product details:
ISBN 10: 0134154363
ISBN 13: 978-0134154367
Author: Robert Adams
Calculus: A Complete Course 9th Edition:
Proven in North America and abroad, this classic text has earned a reputation for excellent accuracy and mathematical rigour. Previous editions have been praised for providing complete and precise statements of theorems, using geometric reasoning in applied problems, and for offering a range of applications across the sciences. Written in a clear, coherent, and readable form, Calculus: A Complete Course makes student comprehension a clear priority.
KEY TOPICS:
Limits and Continuity; Differentiation; Transcendental Functions; More Applications of Differentiation; Integration; Techniques of Integration; Applications of Integration; Conics, Parametric Curves, and Polar Curves; Sequence, Series, and Power Series; Vectors and Coordinate Geometry in 3-Space; Vector Functions and Curves; Partial Differentiation; Applications of Partial Derivatives; Multiple Integration; Vector Fields; Vector Calculus; Differential forms and Exterior Calculus; Ordinary Differential Equations
MARKET:
Appropriate for the three-semester calculus course.
Calculus: A Complete Course 9th Edition Table of contents:
1. Limits and Continuity
1.1. Examples of Velocity, Growth Rate, and Area
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Average Velocity and Instantaneous Velocity
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The Growth of an Algal Culture
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The Area of a Circle
1.2. Limits of Functions
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One-Sided Limits
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Rules for Calculating Limits
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The Squeeze Theorem
1.3. Limits at Infinity and Infinite Limits
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Limits at Infinity
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Limits at Infinity for Rational Functions
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Infinite Limits
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Using Maple to Calculate Limits
1.4. Continuity
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Continuity at a Point
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Continuity on an Interval
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Continuous Functions on Closed, Finite Intervals
1.5. The Formal Definition of Limit
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Using the Definition of Limit to Prove Theorems
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Other Kinds of Limits
2. Differentiation
2.1. Tangent Lines and Their Slopes
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Normals
2.2. The Derivative
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Some Important Derivatives
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Leibniz Notation
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Differentials
2.3. Differentiation Rules
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Sums and Constant Multiples
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The Product Rule
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The Reciprocal Rule
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The Quotient Rule
2.4. The Chain Rule
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Finding Derivatives with Maple
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Building the Chain Rule into Differentiation Formulas
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Proof of the Chain Rule (Theorem 6)
2.5. Derivatives of Trigonometric Functions
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Some Special Limits
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The Derivatives of Sine and Cosine
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The Derivatives of the Other Trigonometric Functions
2.6. Higher-Order Derivatives
2.7. Using Differentials and Derivatives
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Approximating Small Changes
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Average and Instantaneous Rates of Change
2.8. The Mean-Value Theorem
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Increasing and Decreasing Functions
2.9. Implicit Differentiation
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Higher-Order Derivatives
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The General Power Rule
2.10. Antiderivatives and Initial-Value Problems
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Antiderivatives
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The Indefinite Integral
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Differential Equations and Initial-Value Problems
2.11. Velocity and Acceleration
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Velocity and Speed
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Acceleration
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Falling Under Gravity
3. Transcendental Functions
3.1. Inverse Functions
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Inverting Non–One-to-One Functions
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Derivatives of Inverse Functions
3.2. Exponential and Logarithmic Functions
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Exponentials
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Logarithms
3.3. The Natural Logarithm and Exponential
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The Natural Logarithm
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The Exponential Function
3.4. Growth and Decay
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Exponential Growth and Decay Models
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Interest on Investments
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Logistic Growth
3.5. The Inverse Trigonometric Functions
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The Inverse Sine (or Arcsine) Function
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The Inverse Tangent (or Arctangent) Function
3.6. Hyperbolic Functions
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Inverse Hyperbolic Functions
3.7. Second-Order Linear DEs with Constant Coefficients
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Recipe for Solving ay” + by’ + cy = 0
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Simple Harmonic Motion
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Damped Harmonic Motion
4. More Applications of Differentiation
4.1. Related Rates
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Procedures for Related-Rates Problems
4.2. Finding Roots of Equations
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Discrete Maps and Fixed-Point Iteration
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Newton’s Method
4.3. Indeterminate Forms
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L’Hopital’s Rule
4.4. Extreme Values
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Maximum and Minimum Values
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Critical Points, Singular Points, and Endpoints
4.5. Concavity and Inflections
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The Second Derivative Test
4.6. Sketching the Graph of a Function
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Asymptotes
4.7. Graphing with Computers
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Numerical Monsters and Computer Graphing
4.8. Extreme-Value Problems
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Procedure for Solving Extreme-Value Problems
4.9. Linear Approximations
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Approximating Values of Functions
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Error Analysis
4.10. Taylor Polynomials
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Taylor’s Formula
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Big-O Notation
4.11. Roundoff Error, Truncation Error, and Computers
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Taylor Polynomials in Maple
5. Integration
5.1. Sums and Sigma Notation
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Evaluating Sums
5.2. Areas as Limits of Sums
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The Basic Area Problem
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Some Area Calculations
5.3. The Definite Integral
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Partitions and Riemann Sums
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The Definite Integral
5.4. Properties of the Definite Integral
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A Mean-Value Theorem for Integrals
5.5. The Fundamental Theorem of Calculus
5.6. The Method of Substitution
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Trigonometric Integrals
5.7. Areas of Plane Regions
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Areas Between Two Curves
6. Techniques of Integration
6.1. Integration by Parts
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Reduction Formulas
6.2. Integrals of Rational Functions
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Linear and Quadratic Denominators
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Partial Fractions
6.3. Inverse Substitutions
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The Inverse Trigonometric Substitutions
6.4. Other Methods for Evaluating Integrals
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The Method of Undetermined Coefficients
6.5. Improper Integrals
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Improper Integrals of Type I
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Improper Integrals of Type II
6.6. The Trapezoid and Midpoint Rules
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The Trapezoid Rule
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The Midpoint Rule
6.7. Simpson’s Rule
7. Applications of Integration
7.1. Volumes by Slicing—Solids of Revolution
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Volumes by Slicing
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Solids of Revolution
7.2. More Volumes by Slicing
7.3. Arc Length and Surface Area
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Arc Length
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The Arc Length of the Graph of a Function
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Areas of Surfaces of Revolution
7.4. Mass, Moments, and Centre of Mass
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Mass and Density
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Moments and Centres of Mass
7.5. Centroids
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Pappus’s Theorem
7.6. Other Physical Applications
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Hydrostatic Pressure
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Work
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Potential Energy and Kinetic Energy
7.7. Applications in Business, Finance, and Ecology
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The Present Value of a Stream of Payments
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The Economics of Exploiting Renewable Resources
7.8. Probability
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Discrete Random Variables
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Expectation, Mean, Variance, and Standard Deviation
7.9. First-Order Differential Equations
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Separable Equations
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First-Order Linear Equations
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