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Mathematical Applications for the Manag...
12th Edition
Ronald J. Harshbarger, James J. Reynolds
Publisher: Cengage Learning
ISBN: 9781337625340

Solutions for Mathematical Applications for the Management, Life, and Social Sciences

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Chapter 1.2 - FunctionsChapter 1.3 - Linear FunctionsChapter 1.4 - Graphs And Graphing UtilitiesChapter 1.5 - Solutions Of Systems Of Linear EquationsChapter 1.6 - Applications Of Functions In Business And EconomicsChapter 2 - Quadratic And Other Special FunctionsChapter 2.1 - Quadratic EquationsChapter 2.2 - Quadratic Functions: ParabolasChapter 2.3 - Business Applications Using QuadraticsChapter 2.4 - Special Functions And Their GraphsChapter 2.5 - Modeling; Fitting Curves To Data With Graphing UtilitiesChapter 3 - MatricesChapter 3.1 - MatricesChapter 3.2 - Multiplication Of MatricesChapter 3.3 - Gauss-jordan Elimination: Solving Systems Of EquationsChapter 3.4 - Inverse Of A Square Matrix; Matrix EquationsChapter 3.5 - Applications Of Matrices: Leontief Input-output ModelsChapter 4 - Inequalities And Linear ProgrammingChapter 4.1 - Linear Inequalities In Two VariablesChapter 4.2 - Linear Programming: Graphical MethodsChapter 4.3 - The Simplex Method: MaximizationChapter 4.4 - The Simplex Method: Duality And MinimizationChapter 4.5 - The Simplex Method With Mixed ConstraintsChapter 5 - Exponential And Logarithmic FunctionsChapter 5.1 - Exponential FunctionsChapter 5.2 - Logarithmic Functions And Their PropertiesChapter 5.3 - Equations And Applications With Exponential And Logarithmic FunctionsChapter 6 - Mathematics Of FinanceChapter 6.1 - Simple Interest; SequencesChapter 6.2 - Compound Interest; Geometric SequencesChapter 6.3 - Future Values Of AnnuitiesChapter 6.4 - Present Values Of AnnuitiesChapter 6.5 - Loans And AmortizationChapter 7 - Introduction To ProbabilityChapter 7.1 - Probability; OddsChapter 7.2 - Unions And Intersections Of Events: One-trial ExperimentsChapter 7.3 - Conditional Probability: The Product RuleChapter 7.4 - Probability Trees And Bayes’ FormulaChapter 7.5 - Counting: Permutations And CombinationsChapter 7.6 - Permutations, Combinations, And ProbabilityChapter 7.7 - Markov ChainsChapter 8 - Further Topics In Probability; Data DescriptionChapter 8.1 - Binomial Probability ExperimentsChapter 8.2 - Data DescriptionChapter 8.3 - Discrete Probability Distributions; The Binomial DistributionChapter 8.4 - Normal Probability DistributionChapter 8.5 - The Normal Curve Approximation To The Binomial DistributionChapter 9 - DerivativesChapter 9.1 - LimitsChapter 9.2 - Continuous Functions; Limits At InfinityChapter 9.3 - Rates Of Change And DerivativesChapter 9.4 - Derivative FormulasChapter 9.5 - The Product Rule And The Quotient RuleChapter 9.6 - The Chain Rule And The Power RuleChapter 9.7 - Using Derivative FormulasChapter 9.8 - Higher-order DerivativesChapter 9.9 - Applications: Marginals And DerivativesChapter 10 - Applications Of DerivativesChapter 10.1 - Relative Maxima And Minima: Curve SketchingChapter 10.2 - Concavity; Points Of InflectionChapter 10.3 - Optimization In Business And EconomicsChapter 10.4 - Applications Of Maxima And MinimaChapter 10.5 - Rational Functions: More Curve SketchingChapter 11 - Derivatives ContinuedChapter 11.1 - Derivatives Of Logarithmic FunctionsChapter 11.2 - Derivatives Of Exponential FunctionsChapter 11.3 - Implicit DifferentiationChapter 11.4 - Related RatesChapter 11.5 - Applications In Business And EconomicsChapter 12 - Indefinite IntegralsChapter 12.1 - Indefinite IntegralsChapter 12.2 - The Power RuleChapter 12.3 - Integrals Involving Exponential And Logarithmic FunctionsChapter 12.4 - Applications Of The Indefinite Integral In Business And EconomicsChapter 12.5 - Differential EquationsChapter 13 - Definite Integrals: Techniques Of IntegrationChapter 13.1 - Area Under A CurveChapter 13.2 - The Definite Integral: The Fundamental Theorem Of CalculusChapter 13.3 - Area Between Two CurvesChapter 13.4 - Applications Of Definite Integrals In Business And EconomicsChapter 13.5 - Using Tables Of IntegralsChapter 13.6 - Integration By PartsChapter 13.7 - Improper Integrals And Their ApplicationsChapter 13.8 - Numerical Integration Methods: The Trapezoidal Rule And Simpson’s RuleChapter 14 - Functions Of Two Or More VariablesChapter 14.1 - Functions Of Two Or More VariablesChapter 14.2 - Partial DifferentiationChapter 14.3 - Applications Of Functions Of Two Variables In Business And EconomicsChapter 14.4 - Maxima And MinimaChapter 14.5 - Maxima And Minima Of Functions Subject To Constraints: Lagrange Multipliers

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