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Tabla de Contenidos: “…Exact Equations, Separation of Variables, Homogeneous and Linear Equations""; ""First Order Differential Equations""; ""Separation of Variables""; ""Homogeneous Differential Equations""; ""Exact Differential Equations""; ""Linear Differential Equations""; ""Chapter 3: Higher Order Differential Equations. …”

Tabla de Contenidos: “…3.1 An Electrical Transducer Model 3.2 A Model for Computer Simulation; 3.3 Voltage-Mode Biasing; 3.4 Current-Mode Biasing; 3.5 Amplifiers; 3.6 Amplifier Circuits; 3.7 Analog Temperature Compensation; 3.8 Offset Adjustment; 3.9 Dynamic Offset Cancellation Technique; Chapter 4. Integrated Sensors: Linear and Digital Devices; 4.1 Linear Sensors; 4.2 Linear Transfer Curve; 4.3 Drift; 4.4 Ratiometry; 4.5 Output Characteristics; 4.6 Bandwidth; 4.7 Noise; 4.8 Power Supply Requirements for Linear Sensors; 4.9 Temperature Range; 4.10 Field-Programmable Linear Sensors; 4.11 Typical Linear Devices…”

Tabla de Contenidos: “…Introducción a la vida devota ; Sermones escogidos ; Conversaciones espirituales ; Alocución al Cabildo Catedral de Ginebra -- XIX, 798 p. -- T.II ; Tratado del amor de Dios ; Constituciones y Directorio espiritual ; Fragmentos del epistolario ; Ramillete de cartas enteras. -- XXIII, 982 p.…”

Tabla de Contenidos: “…Intro -- Classification, Parameter Estimation and State Estimation -- Contents -- Preface -- Acknowledgements -- About the Companion Website -- 1 Introduction -- 1.1 The Scope of the Book -- 1.1.1 Classification -- 1.1.2 Parameter Estimation -- 1.1.3 State Estimation -- 1.1.4 Relations between the Subjects -- 1.2 Engineering -- 1.3 The Organization of the Book -- 1.4 Changes from First Edition -- 1.5 References -- 2 PRTools Introduction -- 2.1 Motivation -- 2.2 Essential Concepts -- 2.3 PRTools Organization Structure and Implementation -- 2.4 Some Details about PRTools -- 2.4.1 Datasets -- 2.4.2 Datafiles -- 2.4.3 Datafiles Help Information -- 2.4.4 Classifiers and Mappings -- 2.4.5 Mappings Help Information -- 2.4.6 How to Write Your Own Mapping -- 2.5 Selected Bibliography -- 3 Detection and Classification -- 3.1 Bayesian Classification -- 3.1.1 Uniform Cost Function and Minimum Error Rate -- 3.1.2 Normal Distributed Measurements -- Linear and Quadratic Classifiers -- 3.2 Rejection -- 3.2.1 Minimum Error Rate Classification with Reject Option -- 3.3 Detection: The Two-Class Case -- 3.4 Selected Bibliography -- 4 Parameter Estimation -- 4.1 Bayesian Estimation -- 4.1.1 MMSE Estimation -- 4.1.2 MAP Estimation -- 4.1.3 The Gaussian Case with Linear Sensors -- 4.1.4 Maximum Likelihood Estimation -- 4.1.5 Unbiased Linear MMSE Estimation -- 4.2 Performance Estimators -- 4.2.1 Bias and Covariance -- 4.2.2 The Error Covariance of the Unbiased Linear MMSE Estimator -- 4.3 Data Fitting -- 4.3.1 Least Squares Fitting -- 4.3.2 Fitting Using a Robust Error Norm -- 4.3.3 Regression -- 4.4 Overview of the Family of Estimators -- 4.5 Selected Bibliography -- 5 State Estimation -- 5.1 A General Framework for Online Estimation -- 5.1.1 Models -- 5.1.2 Optimal Online Estimation -- 5.2 Infinite Discrete-Time State Variables…”

Tabla de Contenidos: “…Separable Equations -- 2.3. Linear Equations -- 2.4. Exact Equations -- 2.5. Special Integrating Factors -- 2.6. …”