College Mathematics for the Managerial, Life, and Social Sciences – Soo T. Tan – 7th Edition

Descripción

College Mathematics lo ayudará a tener éxito en finitas y cálculo aplicado mediante el uso de explicaciones claras, ejemplos de la vida real y tecnología actualizada. Las aplicaciones de la vida real, como las suscripciones de radio por satélite, los ingresos de Google, la subcontratación laboral y los efectos de las prohibiciones de fumar, provienen de las áreas de los y las ciencias del comportamiento, la vida y las ciencias sociales.

Los perfiles de cartera le permiten conocer de primera mano cómo los profesionales del mundo real usan las matemáticas finitas y el cálculo aplicado en su . También puede aprovechar el amplio soporte en línea para mejorar su aprendizaje, que incluye instrucciones en video y tutoriales interactivos que lo guían paso a paso a través de ejemplos y en el texto.

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  • Chapter 1: Straight Lines and Linear Functions
    1.1: The Cartesian Coordinate System (21)
    1.2: Straight Lines (21)
    1.3: Linear Functions and Mathematical Models (25)
    1.4: Intersection of Straight Lines (21)
    1.5: The Method of Least Squares (20)
    1: Chapter Review (17)

    Chapter 2: Systems of Linear Equations and Matrices
    2.1: Systems of Linear Equations: An Introduction (19)
    2.2: Systems of Linear Equations: Unique Solutions (20)
    2.3: Systems of linear Equations: Underdetermined and Overdetermined Systems (19)
    2.4: Matrices (20)
    2.5: Multiplication of Matrices (20)
    2.6: The Inverse of a Square Matrix (20)
    2.7: Leontief Input-Output Model (19)
    2: Chapter Review (16)

    Chapter 3: Linear Programming: A Geometric Approach
    3.1: Graphing Systems of Linear Inequalities in Two Variables (20)
    3.2: Linear Programming Problems (20)
    3.3: Graphical Solution of Linear Programming Problems (19)
    3.4: Sensitivity Analysis (20)
    3: Chapter Review (16)

    Chapter 4: Linear Programming: An Algebraic Approach
    4.1: The Simplex Method: Standard Maximization Problems (17)
    4.2: The Simplex Method: Standard Minimization Problems (12)
    4.3: The Simplex Method: Nonstandard Problems (12)
    4: Chapter Review

    Chapter 5: Mathematics of Finance
    5.1: Compound Interest (22)
    5.2: Annuities (20)
    5.3: Amortization and Sinking Funds (20)
    5.4: Arithmetic and Geometric Progressions (19)
    5: Chapter Review (20)

    Chapter 6: Sets and Counting
    6.1: Sets and Set Operations (19)
    6.2: The Number of Elements in a Finite Set (20)
    6.3: The Multiplication Principle (20)
    6.4: Permutations and Combinations (20)
    6: Chapter Review (20)

    Chapter 7: Probability
    7.1: Experiments, Sample Spaces, and Events (19)
    7.2: Definition of Probability (20)
    7.3: Rules of Probability (20)
    7.4: Use of Counting Techniques in Probability (20)
    7.5: Conditional Probability and Independent Events (19)
    7.6: Bayes' Theorem (21)
    7: Chapter Review (20)

    Chapter 8: Probability Distributions and Statistics
    8.1: Distributions of Random Variables (20)
    8.2: Expected Value (20)
    8.3: Variance and Standard Deviation (20)
    8.4: The Binomial Distribution (20)
    8.5: The Normal Distribution (20)
    8.6: Applications of the Normal Distribution (19)
    8: Chapter Review (20)

    Chapter 9: Markov Chains
    9.1: Markov Chains (13)
    9.2: Regular Markov Chains (14)
    9.3: Absorbing Markov Chains (12)
    9: Chapter Review

    Chapter 10: Precalculus Review
    10.1: Exponents and Radicals (27)
    10.2: Algebraic Expressions (26)
    10.3: Algebraic Fractions (23)
    10.4: Inequalities and Absolute Value (27)
    10: Chapter Review

    Chapter 11: Functions, Limits, and the Derivative
    11.1: Functions and Their Graphs (31)
    11.2: The Algebra of Functions (30)
    11.3: Functions and Mathematical Models (23)
    11.4: Limits (30)
    11.5: One-Sided Limits and Continuity (30)
    11.6: The Derivative (30)
    11: Chapter Review (21)

    Chapter 12: Differentiation
    12.1: Basic Rules of Differentiation (30)
    12.2: The Product and Quotient Rules (30)
    12.3: The Chain Rule (30)
    12.4: Marginal Functions in Economics (30)
    12.5: Higher-Order Derivatives (30)
    12.6: Implicit Differentiation and Related Rates (30)
    12.7: Differentials (30)
    12: Chapter Review (21)

    Chapter 13: Applications of the Derivative
    13.1: Applications of the First Derivative (31)
    13.2: Applications of the Second Derivative (30)
    13.3: Curve Sketching (29)
    13.4: Optimization I (30)
    13.5: Optimization II (30)
    13: Chapter Review (21)

    Chapter 14: Exponential and Logarithmic Functions
    14.1: Exponential Functions (30)
    14.2: Logarithmic Functions (30)
    14.3: Differentiation of Exponential Functions (30)
    14.4: Differentiation of Logarithmic Functions (31)
    14.5: Exponential Functions as Mathematical Functions (30)
    14: Chapter Review (10)

    Chapter 15: Integration
    15.1: Antiderivatives and the Rules of Integration (29)
    15.2: Integration by Substitution (29)
    15.3: Area and the Definite Integral (18)
    15.4: The Fundamental Theorem of Calculus (30)
    15.5: Evaluating Definite Integrals (30)
    15.6: Area between Two Curves (29)
    15.7: Applications of the Definite Integral to Business and Economics (15)
    15: Chapter Review (20)

    Chapter 16: Additional Topics in Integration
    16.1: Integration by Parts (29)
    16.2: Integration Using Tables of Integrals (31)
    16.3: Numerical Integration (30)
    16.4: Improper Integrals (30)
    16.5: Applications of Calculus to Probability (30)
    16: Chapter Review (21)

    Chapter 17: Calculus of Several Variables
    17.1: Functions of Several Variables (28)
    17.2: Partial Derivatives (30)
    17.3: Maxima and Minima of Functions of Several Variables (27)
    17.4: Constrained Maxima and Minima and the Method of Lagrange Multipliers (27)
    17.5: Double Integrals (56)
    17: Chapter Review (20)
  • Citar Libro
    • Título: College Mathematics for the Managerial Life and Social Sciences
    • Autor/es:
    • ISBN-13: 9780495119692
    • Edición: 7ma Edición
    • Año de edición: 2007
    • Tema: Matemáticas
    • Subtema: Matemáticas Aplicadas
    • Tipo de Archivo: eBook
    • Idioma: eBook en Inglés

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