Tabla de Contenidos: “…Ganim -- Professionalizing Chaucer : John Matthews Manly, Edith Rickert, and The Canterbury tales as cultural capital / Sealy Gilles and Sylvia Tomasch -- Gli scogli neri ed il niente che c'è : Dorigen's black rocks and Chaucer's translation of Italy / Warren Ginsberg -- Women in the shadows of The divine comedy / Joan M. Ferrante -- Linear perspective and the obliquities of reception / Joseph A. …”

Tabla de Contenidos: “…-- Introducing Scikit-Learn -- Hyperparameters and model validation -- Feature engineering -- In depth: Naive Bayes classification -- In depth: linear regression -- In depth: support vector machines -- In depth: decision trees and random forests -- In depth: principal component analysis -- In depth: manifold learning -- In depth: k-means clustering -- In depth: Gaussian mixture models -- In depth: kernel density estimation -- Application: a face detection pipeline…”

Tabla de Contenidos: “…Rateliff -- Tolkien's resistance to linearity: narrating The lord of the rings in fiction and film / E.L. …”

“…El neoliberalismo encontro un modelo expositivo y un tipo de profesional utiles al nuevo orden economico, financiero y corporativo, con el arte como instrumento central con sus capacidades de generar y distribuir capitales materiales y simbolicos. …”

Tabla de Contenidos: “…Random walks as sequences of vectors -- 6.4 Solving systems of equations with matrices -- Plant community composition -- 6.5 Markov chains -- Redistribution between population patches -- 6.6 Eigenvalues and eigenvectors -- Growth in patchy populations -- Metapopulation growth -- 6.7 Leslie matrix models -- Stage-structured seal populations -- Equilibrium of linear Leslie model -- Stability in a linear Leslie model -- Stable age structure in a linear Leslie model -- 6.8 Analysis of linear dynamical systems -- A fragmented population in continuous time -- Phase-space for a two-patch metapopulation -- Stability analysis of a two-patch metapopulation -- 6.9 Analysis of nonlinear dynamical systems -- The Lotka-Volterra, predator-prey model -- Stability analysis of the Lotka-Volerra model -- Further reading -- References -- 7 How to visualise and summarise data Descriptive statistics -- 7.1 Overview of statistics -- 7.2 Statistical variables -- Activity budgets in honey bees -- 7.3 Populations and samples -- Production of gannet chicks -- 7.4 Single-variable samples -- 7.5 Frequency distributions -- Activity budgets in honey bees -- Activity budgets from different studies -- Visualising activity budgets -- Height of tree ferns -- Gannets on Bass rock -- 7.6 Measures of centrality -- Chick rearing in red grouse -- Swimming speed in grey seals -- Median of chicks reared by red grouse -- 7.7 Measures of spread -- Gannet foraging -- 7.8 Skewness and kurtosis -- 7.9 Graphical summaries -- 7.10 Data sets with more than one variable -- 7.11 Association between qualitative variables -- Community recovery in abandoned fields -- 7.12 Association between quantitative variables -- Height and root depth of tree ferns -- 7.13 Joint frequency distributions -- Mosaics of abandoned fields…”

Tabla de Contenidos: “…s Method 7.5 Discussion 7.6 Conclusion References Part Four Multiobjective Optimization 8 Interactive Approaches Applied to Multiobjective Evolutionary Algorithms 8.1 Introduction 8.1.1 Methods Analyzed in this Chapter 8.2 Basic Concepts and Notation 8.2.1 Multiobjective Optimization Problems 8.2.2 Classical Interactive Methods 8.3 MOEAs Based on Reference Point Methods 8.3.1 A Weighted Distance Metric 8.3.2 Light Beam Search Combined with NSGA-II 8.3.3 Controlling the Accuracy of the Pareto Front Approximation 8.3.4 Light Beam Search Combined with PSO 8.3.5 A Preference Relation Based on a Weighted Distance Metric 8.3.6 The Chebyshev Preference Relation 8.4 MOEAs Based on Value Function Methods 8.4.1 Progressive Approximation of a Value Function 8.4.2 Value Function by Ordinal Regression 8.5 Miscellaneous Methods 8.5.1 Desirability Functions 8.6 Conclusions and Future Work References 9 Generalized DEA and Computational Intelligence in Multiple Criteria Decision Making 9.1 Introduction 9.2 Generalized Data Envelopment Analysis 9.2.1 Basic DEA Models: CCR, BCC and FDH Models 9.2.2 GDEA Model 9.3 Generation of Pareto Optimal Solutions using Generalized DEA and Computational Intelligence 9.3.1 GDEA in Fitness Evaluation 9.3.2 GDEA in Deciding the Parameters of Multi-objective PSO 9.3.3 Expected Improvement for Multi-objective Optimization Using GDEA 9.4 Summary References 10 Fuzzy Multiobjective Optimization 10.1 Introduction 10.2 Solution Concepts for Multiobjective Programming 10.3 Interactive Multiobjective Linear Programming 10.4 Fuzzy Multiobjective Linear Programming 10.5 Interactive Fuzzy Multiobjective Linear Programming 10.6 Interactive Fuzzy Multiobjective Linear Programming with Fuzzy Parameters 10.7 Interactive Fuzzy Stochastic Multiobjective Linear Programming 10.8 Related Works and Applications References Part Five Applications in Management and Engineering 11 MCDA & Agents: Supporting Effective Resource Federation in Virtual Organizations 11.1 Introduction 11.2 The Intuition of Multiple Criteria Decision Aid in Multi-agent Systems 11.3 Resource Federation Applied 11.3.1 Describing the Problem in a Cloud Computing Context 11.3.2 Problem Modeling 11.3.3 Assessing Agents' Value Function for Resource Federation 11.4 An Illustrative Example 11.5 Conclusions References 12 Fuzzy AHP Using Type II Fuzzy Sets: An Application to Warehouse Location Selection 12.1 Introduction 12.2 Multicriteria Selection 12.2.1 The ELECTRE (E<U+00cc><U+0081>limination Et Choix Traduisant la Realite) Method 12.2.2 PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) 12.2.3 TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) 12.2.4 The WSM (Weighted Sum Model) Method 12.2.5 MAUT (Multi-attribute Utility Theory) 12.2.6 AHP (Analytic Hierarchy Process) 12.3 Literature Review on Fuzzy AHP 12.4 Buckley's Type-1 Fuzzy AHP 12.5 Type-2 Fuzzy Sets 12.6 Type-2 Fuzzy AHP 12.7 An Application: Warehouse Location Selection 12.8 Conclusion References 13 Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings 13.1 Introduction 13.2 State-of-the-Art Review 13.3 An Example Case Study 13.3.1 Basic Principles and Problem Definition 13.3.2 Decision Variables 13.3.3 Decision Criteria 13.3.4 Decision Model 13.4 Development and Application of a Genetic Algorithm for the Example Case Study 13.4.1 Development of the Genetic Algorithm 13.4.2 Application of the Genetic Algorithm, Analysis of Results and Discussion 13.5 Conclusions References 14 Nature-Inspired Intelligence for Pareto Optimality Analysis in Portfolio Optimization 14.1 Introduction 14.2 Literature Review 14.3 Methodological Issues 14.4 Pareto Optimal Sets in Portfolio Optimization 14.4.1 Pareto Efficiency 14.4.2 Mathematical Formulation of the Portfolio Optimization Problem 14.5 Computational Results 14.5.1 Experimental Setup 14.5.2 Efficient Frontier 14.6 Conclusion References Index…”

Tabla de Contenidos: “…Fitting a Model to Data -- Fundamental concepts: Finding "optimal" model parameters based on data; Choosing the goal for data mining; Objective functions; Loss functions -- Exemplary techniques: Linear regression; Logistic regression; Support-vector machines -- Classification via Mathematical Functions -- Linear Discriminant Functions -- Optimizing an Objective Function -- An Example of Mining a Linear Discriminant from Data -- Linear Discriminant Functions for Scoring and Ranking Instances -- Support Vector Machines, Briefly -- Regression via Mathematical Functions -- Class Probability Estimation and Logistic "Regression" -- Logistic Regression: Some Technical Details -- Example: Logistic Regression versus Tree Induction -- Nonlinear Functions, Support Vector Machines, and Neural Networks -- Summary -- 5. …”

Tabla de Contenidos: “…Stepchenkov; 3.3 From the 1970s to the Present; Chapter 4: Applications of Bent Functions; Introduction; 4.1 Cryptography: Linear Cryptanalysis and Boolean Functions; 4.2 Cryptography: One Historical Example; 4.3 Cryptography: Bent Functions in CAST; 4.4 Cryptography: Bent Functions in Grain; 4.5 Cryptography: Bent Functions in HAVAL…”

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Tabla de Contenidos: “…""Avant-propos""; ""Éditorial""; ""Remerciements""; ""Table des matières""; ""Résumé""; ""Synthèse : Vers des stratégies de développement localisées et plus inclusives en Afrique""; ""PARTIE I : Performances et perspectives en Afrique""; ""Chapitre 1 : Perspectives macroéconomiques en Afrique""; ""En bref""; ""La croissance en Afrique est en passe de se consolider""; ""En 2014, la demande intérieure a largement sous-tendu la croissance en Afrique""; ""La croissance économique régionale reste inégale""; ""La chute des cours des matières premières""…”

Tabla de Contenidos: “…Position of the problem; 4.2. Linear estimation; 4.3. Best estimate - conditional expectation; 4.4. …”

Tabla de Contenidos: “…Sphere-to-AABB -- Sphere-to-OBB -- Sphere-to-plane -- AABB-to-AABB -- AABB-to-OBB -- AABB-to-plane -- OBB-to-OBB -- OBB-to-plane -- Plane-to-plane -- Chapter 10: 3D Line Intersections -- Introduction -- Raycast Sphere -- Raycast Axis Aligned Bounding Box -- Raycast Oriented Bounding Box -- Raycast plane -- Linetest Sphere -- Linetest Axis Aligned Bounding Box -- Linetest Oriented Bounding Box -- Linetest Plane -- Chapter 11: Triangles and Meshes -- Introduction -- Point in triangle -- Closest point triangle -- Triangle to sphere -- Triangle to Axis Aligned Bounding Box -- Triangle to Oriented Bounding Box -- Triangle to plane -- Triangle to triangle -- Robustness of the Separating Axis Theorem -- Raycast Triangle -- Linetest Triangle -- Mesh object -- Mesh optimization -- Mesh operations -- Chapter 12: Models and Scenes -- Introduction -- The Model object -- Operations on models -- The Scene object -- Operations on the scene -- The Octree object -- Octree contents -- Operations on the Octree -- Octree scene integration -- Chapter 13: Camera and Frustum -- Introduction -- Camera object -- Camera controls -- Frustum object -- Frustum from matrix -- Sphere in frustum -- Bounding Box in frustum -- Octree culling -- Picking -- Chapter 14: Constraint Solving -- Introduction -- Framework introduction -- Raycast sphere -- Raycast Bounding Box -- Raycast plane and triangle -- Physics system -- Integrating particles -- Solving constraints -- Verlet Integration -- Chapter 15: Manifolds and Impulses -- Introduction -- Manifold for spheres -- Manifold for boxes -- Rigidbody Modifications -- Linear Velocity -- Linear Impulse -- Physics System Update -- Angular Velocity -- Angular Impulse -- Chapter 16: Springs and Joints -- Introduction -- Particle Modifications -- Springs -- Cloth -- Physics System Modification -- Joints -- Appendix: Advanced Topics…”

Tabla de Contenidos: “…Network Design Problem Modeling; 4.1 Basic Uncapacitated and Capacitated Design Problems; 4.2 Routing Restrictions; 4.3 Non-Linear Link Dimensioning, Cost, and Delay Functions; 4.4 Budget Constraint; 4.5 Incremental NDPS; 4.6 Extensions of Problem Modeling…”

Tabla de Contenidos: “…Computational Dynamics; CONTENTS; PREFACE; 1 INTRODUCTION; 1.1 Computational Dynamics; 1.2 Motion and Constraints; 1.3 Degrees of Freedom; 1.4 Kinematic Analysis; 1.5 Force Analysis; 1.6 Dynamic Equations and Their Different Forms; 1.7 Forward and Inverse Dynamics; 1.8 Planar and Spatial Dynamics; 1.9 Computer and Numerical Methods; 1.10 Organization, Scope, and Notations of the Book; 2 LINEAR ALGEBRA; 2.1 Matrices; 2.2 Matrix Operations; 2.3 Vectors; 2.4 Three-Dimensional Vectors; 2.5 Solution of Algebraic Equations; 2.6 Triangular Factorization; *2.7 QR Decomposition…”

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Tabla de Contenidos: “…General DownsamplingConclusions; Problems; References; 3 Two-Dimensional Systems and Z-Transforms; 3.1 Linear Spatial or 2-D Systems; 3.2 Z-Transforms; 3.3 Regions of Convergence; More General Case; 3.4 Some Z-Transform Properties; Linear Mapping of Variables; Inverse Z-Transform; 3.5 2-D Filter Stability; First Quadrant Support; Second Quadrant Support; Root Maps; Stability Criteria for NSHP Support Filters; Conclusions; Problems; References; 4 2-D Discrete-Space Transforms; 4.1 Discrete Fourier Series; Properties of the DFS Transform; Periodic Convolution; Shifting or Delay Property…”

“…Las marcas activistas no sólo persiguen beneficios económicos, sino que también buscan generar un cambio positivo en la sociedad. Este trabajo analiza cómo Mango utiliza sus estrategias de comunicación para la concienciación y educación social sobre sostenibilidad. …”
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“…Sus "Crónicas de Narnia" siguen en la consideración de los lectores de todo el mundo, y han vuelto a generar expectación a través de sus adaptaciones cinematográficas. …”

“…Partiendo de esta premisa, el trabajo analiza tres obras del cine de animación contemporáneas dirigidas al público infantil (El Rey León, Del revés y Félix) con el propósito de demostrar que este tipo de películas, más allá de su mera función de entretenimiento, emplea estrategias capaces de generar en los espectadores adultos relatos complejos y profundos. …”
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“…Si bien el conflicto es algo inherente a la vida de Jesús de Nazaret, una toma de conciencia más cuidadosa sobre el mismo concepto permite generar nuevas aproximaciones. Este libro no solo es una apuesta es tética en cuanto se presenta como ensayo resultado de una escritura colectiva, sino sobre todo ética y teológica, en cuanto se pregunta por los efectos y afectos que suscita en nosotros aquella vida que pretendemos significativa En tal perspectiva, se proponen algunos posicionamientos teóricos (sobre la noción misma del conflicto, y en torno de la noción de anarquismo teocéntrico) que llevan a preguntar por los afectos y efectos del conflicto, en tres escenarios del siglo ¿Con quién comes? …”