Finite mathematics and calculus with applications
著者
書誌事項
Finite mathematics and calculus with applications
Pearson Addison Wesley, c2012
9th ed
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
Finite Mathematics and Calculus with Applications, Ninth Edition, by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current applications, many using real data, are incorporated in numerous forms throughout the book, preparing students for success in their professional careers. With this edition, students will find new ways to get involved with the material, such as "Your Turn" exercises and "Apply It" vignettes that encourage active participation.
NOTE: This is the standalone book, if the student wants the book/access card order the ISBN below
0321760042 / 9780321760043 Finite Mathematics and Calculus with Applications plus MyMathLab/MyStatLab -- Access Card Package
目次
- R. Algebra Reference R.1 Polynomials R.2 Factoring R.3 Rational Expressions R.4 Equations R.5 Inequalities R.6 Exponents R.7 Radicals 1. Linear Functions 1.1 Slopes and Equations of Lines 1.2 Linear Functions and Applications 1.3 The Least Squares Line Chapter 1 Review Extended Application: Using Extrapolation to Predict Life Expectancy 2. Systems of Linear Equations and Matrices 2.1 Solution of Linear Systems by the Echelon Method 2.2 Solution of Linear Systems by the Gauss-Jordan Method 2.3 Addition and Subtraction of Matrices 2.4 Multiplication of Matrices 2.5 Matrix Inverses 2.6 Input-Output Models Chapter 2 Review Extended Application: Contagion 3. Linear Programming: The Graphical Method 3.1 Graphing Linear Inequalities 3.2 Solving Linear Programming Problems Graphically 3.3 Applications of Linear Programming Chapter 3 Review Extended Application: Sensitivity Analysis 4. Linear Programming: The Simplex Method 4.1 Slack Variables and the Pivot 4.2 Maximization Problems 4.3 Minimization Problems
- Duality 4.4 Nonstandard Problems Chapter 4 Review Extended Application: Using Integer Programming in the Stock-Cutting Problem 5. Mathematics of Finance 5.1 Simple and Compound Interest 5.2 Future Value of an Annuity 5.3 Present Value of an Annuity
- Amortization Chapter 5 Review Extended Application: Time, Money, and Polynomials 6. Logic 6.1 Statements 6.2 Truth Tables and Equivalent Statements 6.3 The Conditional and Circuits 6.4 More on the Conditional 6.5 Analyzing Arguments and Proofs 6.6 Analyzing Arguments with Quantifiers Chapter 6 Review Extended Application: Logic Puzzles 7. Sets and Probability 7.1 Sets 7.2 Applications of Venn Diagrams 7.3 Introduction to Probability 7.4 Basic Concepts of Probability 7.5 Conditional Probability
- Independent Events 7.6 Bayes' Theorem Chapter 7 Review Extended Application: Medical Diagnosis 8. Counting Principles
- Further Probability Topics 8.1 The Multiplication Principle
- Permutations 8.2 Combinations 8.3 Probability Applications of Counting Principles 8.4 Binomial Probability 8.5 Probability Distributions
- Expected Value Chapter 8 Review Extended Application: Optimal Inventory for a Service Truck 9. Statistics 9.1 Frequency Distributions
- Measures of Central Tendency 9.2 Measures of Variation 9.3 The Normal Distribution 9.4 Normal Approximation to the Binomial Distribution Chapter 9 Review Extended Application: Statistics in the Law - The Castaneda Decision 10. Nonlinear Functions 10.1 Properties of Functions 10.2 Quadratic Functions
- Translation and Reflection 10.3 Polynomial and Rational Functions 10.4 Exponential Functions 10.5 Logarithmic Functions 10.6 Applications: Growth and Decay
- Mathematics of Finance Chapter 10 Review Extended Application: Characteristics of the Monkeyface Prickleback 11. The Derivative 11.1 Limits 11.2 Continuity 11.3 Rates of Change 11.4 Definition of the Derivative 11.5 Graphical Differentiation Chapter 11 Review Extended Application: A Model for Drugs Administered Intravenously 12. Calculating the Derivative 12.1 Techniques for Finding Derivatives 12.2 Derivatives of Products and Quotients 12.3 The Chain Rule 12.4 Derivatives of Exponential Functions 12.5 Derivatives of Logarithmic Functions Chapter 12 Review Extended Application: Electrical Potential and Electric Field 13. Graphs and the Derivative 13.1 Increasing and Decreasing Functions 13.2 Relative Extrema 13.3 Higher Derivatives, Concavity, and the Second Derivative Test 13.4 Curve Sketching Chapter 13 Review Extended Application: A Drug Concentration Model for Orally Administered Medications 14. Applications of the Derivative 14.1 Absolute Extrema 14.2 Applications of Extrema 14.3 Further Business Applications: Economic Lot Size
- Economic Order Quantity
- Elasticity of Demand 14.4 Implicit Differentiation 14.5 Related Rates 14.6 Differentials: Linear Approximation Chapter 14 Review Extended Application: A Total Cost Model for a Training Program 15. Integration 15.1 Antiderivatives 15.2 Substitution 15.3 Area and the Definite Integral 15.4 The Fundamental Theorem of Calculus 15.5 The Area Between Two Curves 15.6 Numerical Integration Chapter15 Review Extended Application: Estimating Depletion Dates for Minerals 16. Further Techniques and Applications of Integration 16.1 Integraton by Parts 16.2 Volume and Average Value 16.3 Continuous Money Flow 16.4 Improper Integrals Chapter 16 Review Extended Application: Estimating Learning Curves in Manufacturing with Integrals 17. Multivariable Calculus 17.1 Functions of Several Variables 17.2 Partial Derivatives 17.3 Maxima and Minima 17.4 Lagrange Multipliers 17.5 Total Differentials and Approximations 17.6 Double Integrals Chapter 17 Review Extended Application: Using Multivariable Fitting to Create a Response Surface Design
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