Instant download Applied Mathematics for the Managerial Life and Social Sciences 7th Edition Tan Solutions Manual pdf docx epub after payment.
Product details:
- ISBN-10 : 130510790X
- ISBN-13 : 978-1305107908
- Author: Soo T. Tan
A traditional book with a modern feel, market-leading APPLIED MATHEMATICS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES, Seventh Edition, teaches by application and uses real-world examples to motivate students. It combines solid theory with innovative technology, includes a robust supplement package, and offers unmatched flexibility that caters to both traditional and modern practitioners. Accessible for majors and non-majors alike, the Seventh Edition utilizes an intuitive approach that marries real-life instances to what would otherwise be abstract concepts. This is the focus of the insightful Portfolios, which highlight the careers of real people and discuss how they use math in their professions. Numerous exercises ensure that students have a solid understanding of concepts before advancing to the next topic. By offering a powerful array of supplements such as Enhanced WebAssign, the Seventh Edition enables students to maximize their study time and succeed in class.
Table Of Contents:
1. FUNDAMENTALS OF ALGEBRA.
1.1 Real Numbers
1.2 Polynomials
1.3 Factoring Polynomials
1.4 Rational Expressions
1.5 Integral Exponents
1.6 Solving Equations
1.7 Rational Exponents and Radicals
1.8 Quadratic Equations; 1.9 Inequalities and Absolute Value.
2. FUNCTIONS AND THEIR GRAPHS.
2.1 The Cartesian Coordinate System and Straight Lines
2.2 Equations of Lines
2.3 Functions and Their Graphs
2.4 The Algebra of Functions
2.5 Linear Functions
2.6 Quadratic Functions
2.7 Functions and Mathematical Models
2.8 The Method of Least Squares (Optional).
3. EXPONENTIAL AND LOGARITHMIC FUNCTIONS.
3.1 Exponential Functions
3.2 Logarithmic Functions
3.3 Exponential Functions as Mathematical Models.
4. MATHEMATICS OF FINANCE.
4.1 Compound Interest
4.2 Annuities
4.3 Amortization and Sinking Funds
4.4 Arithmetic and Geometric Progressions.
5. SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
5.1 Systems of Linear Equations: An Introduction
5.2 Systems of Linear Equations: Unique Solutions
5.3 Systems of Linear Equations: Underdetermined. and Overdetermined Systems
5.4 Matrices
5.5 Multiplication of Matrices
5.6 The Inverse of a Square Matrix.
6. LINEAR PROGRAMMING.
6.1 Graphing Systems of Linear Inequalities in Two Variables
6.2 Linear Programming Problems
6.3 Graphical Solution of Linear Programming Problems
6.4 The Simplex Method: Standard Maximization Problems
6.5 The Simplex Method: Standard Minimization Problems.
7. SETS AND PROBABILITY.
7.1 Sets and Set Operations
7.2 The Number of Elements in a Finite Set
7.3 The Multiplication Principle
7.4 Permutations and Combinations
7.5 Experiments, Sample Spaces, and Events
7.6 Definition of Probability
7.7 Rules of Probability.
8. ADDITIONAL TOPICS IN PROBABILITY.
8.1 Use of Counting Techniques in Probability
8.2 Conditional Probability and Independent Events
8.3 Bayes’ Theorem
8.4 Distributions of Random Variables
8.5 Expected Value
8.6 Variance and Standard Deviation.
9. THE DERIVATIVE. 9.1 Limits
9.2 One-Sided Limits and Continuity
9.3 The Derivative
9.4 Basic Rules of Differentiation
9.5 The Product and Quotient Rules
Higher Order Derivatives
9.6 The Chain Rule
9.7 Differentiation of Exponential and Logarithmic Functions
9.8 Marginal Functions in Economics.
10. APPLICATIONS OF THE DERIVATIVE.
10.1 Applications of the First Derivative
10.2 Applications of the Second Derivative
10.3 Curve Sketching
10.4 Optimization I
10.5 Optimization II.
11. INTEGRATION.
11.1 Antiderivatives and the Rules of Integration
11.2 Integration by Substitution
11.3 Area and the Definite Integral
11.4 The Fundamental Theorem of Calculus
11.5 Evaluating Definite Integrals
11.6 Area between Two Curves
11.7 Applications of the Definite Integral to Business and Economics.
12. CALCULUS OF SEVERAL VARIABLES.
12.1 Functions of Several Variables
12.2 Partial Derivatives
12.3 Maxima and Minima of Functions of Several Variables.
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