Finite Mathematics and Applied Calculus (MindTap Course List) - 7th Edition - by Stefan Waner, Steven Costenoble - ISBN 9781337274203
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Finite Mathematics and Applied Calculus...
7th Edition
Stefan Waner, Steven Costenoble
Publisher: Cengage Learning
ISBN: 9781337274203

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Chapter 1.2 - Functions And ModelsChapter 1.3 - Linear Functions And ModelsChapter 1.4 - Linear RegressionChapter 2 - Nonlinear Functions And ModelsChapter 2.1 - Quadratic Functions And ModelsChapter 2.2 - Exponential Functions And ModelsChapter 2.3 - Logarithmic Functions And ModelsChapter 2.4 - Logistic Functions And ModelsChapter 3 - The Mathematics Of FinanceChapter 3.1 - Simple InterestChapter 3.2 - Compound InterestChapter 3.3 - Annuities, Loans, And BondsChapter 4 - Systems Of Linear Equations And MatricesChapter 4.1 - Systems Of Two Equations In Two UnknownsChapter 4.2 - Using Matrices To Solve Systems Of EquationsChapter 4.3 - Applications Of Systems Of Linear EquationsChapter 5 - Matrix Algebra And ApplicationsChapter 5.1 - Matrix Addition And Scalar MultiplicationChapter 5.2 - Matrix MultiplicationChapter 5.3 - Matrix InversionChapter 5.4 - Game TheoryChapter 5.5 - Input-output ModelsChapter 6 - Linear ProgrammingChapter 6.1 - Graphing Linear InequalitiesChapter 6.2 - Solving Linear Programming Problems GraphicallyChapter 6.3 - The Simplex Method: Solving Standard Maximization ProblemsChapter 6.4 - The Simplex Method: Solving General Linear Programming ProblemsChapter 6.5 - The Simplex Method And DualityChapter 7 - Sets And CountingChapter 7.1 - Sets And Set OperationsChapter 7.2 - CardinalityChapter 7.3 - Decision Algorithms: The Addition And Multiplication PrinciplesChapter 7.4 - Permutations And CombinationsChapter 8 - ProbabilityChapter 8.1 - Sample Spaces And EventsChapter 8.2 - Relative FrequencyChapter 8.3 - Probability And Probability ModelsChapter 8.4 - Probability And Counting TechniquesChapter 8.5 - Conditional Probability And IndependenceChapter 8.6 - Bayes’ Theorem And ApplicationsChapter 8.7 - Markov SystemsChapter 9 - Random Variables And StatisticsChapter 9.1 - Random Variables And DistributionsChapter 9.2 - Bernoulli Trials And Binomial Random VariablesChapter 9.3 - Measures Of Central TendencyChapter 9.4 - Measures Of DispersionChapter 9.5 - Normal DistributionsChapter 10 - Introduction To The DerivativeChapter 10.1 - Limits: Numerical And Graphical ViewpointsChapter 10.2 - Limits And ContinuityChapter 10.3 - Limits And Continuity: Algebraic ViewpointChapter 10.4 - Average Rate Of ChangeChapter 10.5 - The Derivative: Numerical And Graphical ViewpointsChapter 10.6 - The Derivative: Algebraic ViewpointChapter 11 - Techniques Of Differentiation With ApplicationsChapter 11.1 - Derivatives Of Powers, Sums, And Constant MultiplesChapter 11.2 - A First Application: Marginal AnalysisChapter 11.3 - The Product And Quotient RulesChapter 11.4 - The Chain RuleChapter 11.5 - Derivatives Of Logarithmic And Exponential FunctionsChapter 11.6 - Implicit DifferentiationChapter 12 - Further Applications Of The DerivativeChapter 12.1 - Maxima And MinimaChapter 12.2 - Applications Of Maxima And MinimaChapter 12.3 - Higher Order Derivatives: Acceleration And ConcavityChapter 12.4 - Analyzing GraphsChapter 12.5 - Related RatesChapter 12.6 - ElasticityChapter 13 - The IntegralChapter 13.1 - The Indefinite IntegralChapter 13.2 - SubstitutionChapter 13.3 - The Definite Integral: Numerical And Graphical ViewpointsChapter 13.4 - The Definite Integral: Algebraic Viewpoint And The Fundamental Theorem Of CalculusChapter 14 - Further Integration Techniques And Applications Of The IntegralChapter 14.1 - Integration By PartsChapter 14.2 - Area Between Two Curves And ApplicationsChapter 14.3 - Averages And Moving AveragesChapter 14.4 - Applications To Business And Economics: Consumers’ And Producers’ Surplus And Continuous Income StreamsChapter 14.5 - Improper Integrals And ApplicationsChapter 14.6 - Differential Equations And ApplicationsChapter 15 - Functions Of Several VariablesChapter 15.1 - Functions Of Several Variables From The Numerical, Algebraic, And Graphical ViewpointsChapter 15.2 - Partial DerivativesChapter 15.3 - Maxima And MinimaChapter 15.4 - Constrained Maxima And Minima And ApplicationsChapter 15.5 - Double Integrals And ApplicationsChapter 16 - Trigonometric ModelsChapter 16.1 - Trigonometric Functions, Models, And RegressionChapter 16.2 - Derivatives Of Trigonometric Functions And ApplicationsChapter 16.3 - Integrals Of Trigonometric Functions And ApplicationsChapter A - Logic

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