Tabla de Contenidos: “…5.3.1.a Testing a Hypothesis About a Coefficient -- 5.3.1.b The F Statistic -- 5.3.2 Tests Based on the Fit of the Regression -- 5.3.2.a The Restricted Least Squares Estimator -- 5.3.2.b The Loss of Fit from Restricted Least Squares -- 5.3.2.c Testing the Significance of the Regression -- 5.3.2.d Solving Out the Restrictions and a Caution about R2 -- 5.3.3 Lagrange Multiplier Tests -- 5.4 Large-Sample Tests and Robust Inference -- 5.5 Testing Nonlinear Restrictions -- 5.6 Choosing Between Nonnested Models -- 5.6.1 Testing Nonnested Hypotheses -- 5.6.2 An Encompassing Model -- 5.6.3 Comprehensive Approach-The J Test -- 5.7 A Specification Test -- 5.8 Model Building-A General to Simple Strategy -- 5.8.1 Model Selection Criteria -- 5.8.2 Model Selection -- 5.8.3 Classical Model Selection -- 5.8.4 Bayesian Model Averaging -- 5.9 Summary and Conclusions -- CHAPTER 6 Functional Form, Difference in Differences, and Structural Change -- 6.1 Introduction -- 6.2 Using Binary Variables -- 6.2.1 Binary Variables in Regression -- 6.2.2 Several Categories -- 6.2.3 Modeling Individual Heterogeneity -- 6.2.4 Sets of Categories -- 6.2.5 Threshold Effects and Categorical Variables -- 6.2.6 Transition Tables -- 6.3 Difference in Differences Regression -- 6.3.1 Treatment Effects -- 6.3.2 Examining the Effects of Discrete Policy Changes -- 6.4 Using Regression Kinks and Discontinuities to Analyze Social Policy -- 6.4.1 Regression Kinked Design -- 6.4.2 Regression Discontinuity Design -- 6.5 Nonlinearity in the Variables -- 6.5.1 Functional Forms -- 6.5.2 Interaction Effects -- 6.5.3 Identifying Nonlinearity -- 6.5.4 Intrinsically Linear Models -- 6.6 Structural Break and Parameter Variation -- 6.6.1 Different Parameter Vectors -- 6.6.2 Robust Tests of Structural Break with Unequal Variances -- 6.6.3 Pooling Regressions -- 6.7 Summary And Conclusions…”

Tabla de Contenidos: “…5.1 Aproximación polinomial simple e interpolación5.2 Polinomios de Lagrange; 5.3 Diferencias divididas; 5.4 Aproximación polinomial de Newton; 5.5 Polinomio de Newton en diferencias finitas; 5.6 Estimación de errores en la aproximación; 5.7 Aproximación polinomial segmentaria; 5.8 Aproximación polinomial con mínimos cuadrados; 5.9 Aproximación multilineal con mínimos cuadrados; 6 Integración y diferenciación numérica; 6.1 Métodos de Newton-Cotes; 6.2 Cuadratura de Gauss; 6.3 Integrales múltiples; 6.4 Diferenciación numérica; 7 Ecuaciones diferenciales ordinarias…”

Tabla de Contenidos: “…Movimiento circular uniformeApéndice H; H.1. Ecuación de Euler-Lagrange; H.2. Identidad de Beltrami; Bibliografía…”

Tabla de Contenidos: “…Optimum Design Concepts 4.1 Definitions of Global and Local Minima; 4.2 Review of Some Basic Calculus Concepts; 4.3 Unconstrained Optimum Design Problems; 4.4 Constrained Optimum Design Problems; 4.5 Postoptimality Analysis: Physical Meaning of Lagrange Multipliers; 4.6 Global Optimality; 4.7 Engineering Design Examples; Exercises for Chapter 4; 5. …”

Tabla de Contenidos: “…2.4.1 Direct Multi-Criteria Optimal Redundancy Problem2.4.2 Inverse Multi-Criteria Optimal Redundancy Problem; Chronological Bibliography; CHAPTER 3: Method of Lagrange Multipliers; Chronological Bibliography; CHAPTER 4: Steepest Descent Method; 4.1 The Main Idea of SDM; 4.2 Description of the Algorithm; 4.3 The Stopping Rule; 4.5 Approximate Solution; Chronological Bibliography; CHAPTER 5: Dynamic Programming; 5.1 Bellman's Algorithm; 5.2 Kettelle's Algorithm; 5.2.1 General Description of the Method; 5.2.2 Numerical Example; 5.2.3 Solving the Direct and Inverse Problems of Optimal Redundancy…”

Tabla de Contenidos: “…Cover -- About the Author -- Contents -- Preface -- Chapter 1: Economic Operation of Power System-I -- 1.1 Introduction -- 1.1.1 Unit Commitment Problem -- 1.1.2 Economic Dispatch Problem -- 1.2 Characteristics of Thermal Units -- 1.2.1 Input-Output or Heat Characteristic -- 1.2.2 Cost Curve and Incremental Fuel Cost Characteristic -- 1.3 Objective Function and Constraints for the Economic Dispatch Problem -- 1.4 Lagrange Multiplier Method - An Overview -- 1.4.1 Nonlinear Function Optimization Considering Equality Constraints -- 1.4.2 Nonlinear Function Optimization Considering Equality and Inequality Constraints -- 1.5 Economic Dispatch Problem - Neglecting Transmission Line Losses -- 1.5.1 Solution of Economic Dispatch Problem - Neglecting Losses and Generator Limits -- 1.5.2 Algorithm - Economic Dispatch Without Considering Generator Limits -- 1.5.3 Solution of Economic Dispatch Problem - Neglecting Losses and Including Generator Limits -- 1.5.4 Algorithm - Economic Dispatch Including Generator Power Limits -- Questions from Previous Question Papers -- Competitive Examination Questions -- Chapter 2: Economic Operation of Power System-II -- 2.1 Introduction -- 2.2 Economic Scheduling Problem Considering Losses -- 2.3 Derivation of the Transmission Loss Formula -- 2.4 Solution of the Economic Scheduling Problem - Considering Transmission Line Losses -- 2.4.1 Algorithm -- 2.5 Economic Dispatch Considering Losses - the Classical Method -- 2.5.1 Algorithm -- Questions from Previous Question Papers -- Competitive Examination Questions -- Chapter 3: Hydro Thermal Scheduling -- 3.1 Introduction -- 3.1.1 Long Range Hydro Thermal Scheduling -- 3.1.2 Short Range Hydro Thermal Scheduling -- 3.2 Long Range Hydro Thermal Scheduling -- 3.2.1 Determination of Optimal Contribution of Thermal Plant -- 3.2.2 Short Term Hydro Thermal Scheduling…”

Tabla de Contenidos: “…Isoperimetric Problems and the Like -- 9.3.1. Lagrange Multipliers -- 9.3.2. Integral Side Conditions -- 9.3.3. …”

Tabla de Contenidos: “…Optimización mediante multiplicadores de Lagrange2.1. Descripción del método; 2.2. Ejemplo de aplicación; 2.3. …”

Tabla de Contenidos: “…7.3 Structure from Optical Flow7.4 Factorization Method; 7.5 Constraints on the Data Term; 7.6 Continuity Equation; 7.7 The Prior Term; 7.8 Energy Minimization; 7.9 Binocular Motion; 7.10 Segmentation Prior; 7.11 Blur Diameter; 7.12 Blur Diameter and Disparity; 7.13 Surface Normal and Disparity; 7.14 Surface Normal and Blur Diameter; 7.15 Links between Vision Modules; Problems; References; Part Three Vision Architectures; 8 Relaxation for Energy Minimization; 8.1 Euler-Lagrange Equation of the Energy Function; 8.2 Discrete Diffusion and Biharminic Operators; 8.3 SOR Equation…”

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