Accés Lliure

“…Les empreses desenvolupen innovacions amb l'expectativa de generar avantatges competitius, millorar el seu acompliment financer, incrementar les seves exportacions i, d'aquesta manera, ser sostenibles en el temps. …”
Accés lliure

“…En efecto, si algo ha logrado Julián, es generar preciosas sinergias a las que se han ido sumando más y más personas y colectivos del tejido social. …”

“…En tanto política pública se asume que las autoridades elegidas democráticamente son quienes diseñan y ejecutan las iniciativas que permiten generar niveles crecientes de gobernabilidad. El ámbito de la seguridad y la defensa es la mejor plataforma posible para dar respuesta a las nuevas amenazas de un mundo globalizado. …”

“…Bowlby comprobó que la pérdida de la figura materna puede generar procesos y conductas que ofrecen el mayor inteéres para la psicopatología y halló, congruentemente, que las respuestas y procesos observdos en el niño pequeño, se reencuentran en los individuos de más edad que sufrieron experiencias de carencia en épocas anteriores de su existencial. …”

“…Al descubrimiento de nuevas necrópolis de época romana sumamos ahora la aplicación de técnicas procedentes de otras disciplinas, que permiten un acercamiento más integral y multidisciplinar del tema, poniendo las bases para generar un modelo metodológico aplicable a cualquier período histórico…”

“…¿O hemos olvidado la leyenda del rey Midas, de su capacidad inmensa para generar riqueza y de cómo esta misma capacidad amenazaba mortalmente su existencia humana?…”

“…"El propósito de realizar este manuscrito es generar un diálogo de saberes entre diferentes agentes de la Comunidad Científica, así como un debate académico entre el ámbito académico y el mundo profesional. …”

Tabla de Contenidos: “…110 -- 4.9.2 Consistency of estimated slopes under asymmetric errors 110 -- 4.9.3 Maximum FBP of equivariant estimators 111 -- 4.9.4 The FBP of monotone M-estimators 112 -- 4.10 Recommendations and software 113 -- 4.11 Problems 113 -- 5 Linear Regression 2 115 -- 5.1 Introduction 115 -- 5.2 The linear model with random predictors 118 -- 5.3 M-estimators with a bounded 𝜌-function 119.…”

Tabla de Contenidos: “…Stability of wall boundary condition procedures for discontinuous Galerkin spectral element approximations of the compressible Euler equations -- On the order reduction of entropy stable DGSEMfor the compressible Euler equations -- A review of regular decompositions of vector fields – continuous, discrete, and structure-preserving -- Model reduction by separation of variables: a comparison between hierarchical model reduction and proper generalized decomposition -- Recurrence relations for a family of orthogonal polynomials on a triangle -- Greedy kernel methods for center manifold approximation -- An improved error inhibiting block one-step method with radial basis function approximation for ODEs -- Hermite methods in time -- HPS accelerated spectral solvers for time dependent problems: algorithms -- On the use of hermite functions for the Vlasov-Poisson system -- HPS accelerated spectral solvers for time dependent problems: numerical experiments -- High-order finite element methods for interface problems: theory and implementations -- Stabilised hybrid discontinuous galerkin methods for the Stokes problem with non-standard boundary conditions -- RBF based CWENO method -- discrete equivalence of adjoint Neumann-Dirichlet div-grad and grad-div equations in curvilinear 3D domains -- A conservative hybrid method for Darcy flow -- High-order mesh generation based on optimal affine combinations of nodal positions -- Sparse spectral-element methods for the helically reduced Einstein equations -- Spectral analysis of isogeometric discretizations of 2D curl-div Problems with general geometry -- Performance of preconditioners for large-scale simulations using Nek5000 -- Two decades old entropy stable method for the Euler equations revisited -- A mimetic spectral element method for free surface flows -- Spectral/hp methodology study for iLES-SVV on an Ahmed body -- A high–order discontinuous Galerkin solver for multiphase flows -- High-Order propagation of jet noise on a tetrahedral mesh using large eddy simulation sources -- Dynamical degree adaptivity for DG-LES models -- A novel eight-order diffusive scheme for unstructured polyhedral grids using the weighted least-squares method -- An explicit mapped tent pitching scheme for Maxwell equations -- Viscous diffusion effects in the eigenanalysis of (hybridisable) DG methods -- Spectral Galerkin method for solving Helmholtz and Laplace Dirichlet problems on multiple open arcs -- Explicit polynomial Trefftz-DG method for space-time elasto-acoustics -- An hp-adaptive iterative linearization discontinuous-Galerkin FEM for quasilinear elliptic boundary value problems -- Erosion Wear evaluation using Nektar++ -- An inexact Petrov-Galerkin approximation for gas transport in pipeline networks -- New preconditioners for semi-linear PDE-constrained optimal control in annular geometries -- DIRK schemes with high weak stage order -- Scheme for evolutionary Navier-Stokes-Fourier system with temperature dependent material properties based on spectral/hp elements -- Implicit large eddy simulations for NACA0012 airfoils using compressible and incompressible discontinuous Galerkin solvers -- SAV method applied to fractional Allen-Cahn equation -- A first meshless approach to simulation of the elastic behaviour of the diaphragm -- An explicit hybridizable discontinuous Galerkin method for the 3D timedomain Maxwell equations -- Entropy conserving and kinetic energy preserving numerical methods for the Euler equations using summation-by-parts operators -- Multiwavelet troubled-cell indication: a comparison of utilizing theory versus outlier detection -- An anisotropic p-adaptation multigrid scheme for discontinuous Galerkin methods -- A spectral element reduced basis method for Navier-Stokes equations with geometric variations -- Iterative spectral mollification and conjugation for successive edge detection -- Small trees for high order Whitney elements -- Non-conforming elements inNek5000: pressure preconditioning and parallel performance -- Sparse approximation of multivariate functions from small datasets via weighted orthogonal matching pursuit -- On the convergence rate of Hermite-Fejer interpolation…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Quantifying Learning Algorithms -- Statistical models -- Learning curve -- Machine learning -- Wright's model -- Curve fitting -- Residual -- Statistical modeling - the two cultures of Leo Breiman -- Training data development data - test data -- Size of the training, development, and test set -- Bias-variance trade off -- Regularization -- Ridge regression (L2) -- Least absolute shrinkage and selection operator -- Cross-validation and model selection -- K-fold cross-validation -- Model selection using cross-validation -- 0.632 rule in bootstrapping -- Model evaluation -- Confusion matrix -- Receiver operating characteristic curve -- Area under ROC -- H-measure -- Dimensionality reduction -- Summary -- Chapter 2: Evaluating Kernel Learning -- Introduction to vectors -- Magnitude of the vector -- Dot product -- Linear separability -- Hyperplanes -- SVM -- Support vector -- Kernel trick -- Kernel -- Back to Kernel trick -- Kernel types -- Linear kernel -- Polynomial kernel -- Gaussian kernel -- SVM example and parameter optimization through grid search -- Summary -- Chapter 3: Performance in Ensemble Learning -- What is ensemble learning? …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Advanced Analytics with R and Tableau -- Installing R for Windows -- RStudio -- Prerequisites for RStudio installation -- Implementing the scripts for the book -- Testing the scripting -- Tableau and R connectivity using Rserve -- Installing Rserve -- Configuring an Rserve Connection -- Summary -- Chapter 2: The Power of R -- Core essentials of R programming -- Variables -- Creating variables -- Working with variables -- Data structures in R -- Vector -- Lists -- Matrices -- Factors -- Data frames -- Control structures in R -- Assignment operators -- Logical operators -- For loops and vectorization in R -- For loops -- Functions -- Creating your own function -- Making R run more efficiently in Tableau -- Summary -- Chapter 3: A Methodology for Advanced Analytics Using Tableau and R -- Industry standard methodologies for analytics -- CRISP-DM -- Business understanding/data understanding -- CRISP-DM model - data preparation -- CRISP-DM - modeling phase -- CRISP-DM - evaluation -- CRISP-DM - deployment -- CRISP-DM - process restarted -- CRISP-DM summary -- Team Data Science Process -- Business understanding -- Data acquisition and understanding -- Modeling -- Deployment -- TDSP Summary -- Working with dirty data -- Introduction to dplyr -- Summarizing the data with dplyr -- Summary -- Chapter 4: Prediction with R and Tableau Using Regression -- Getting started with regression -- Simple linear regression -- Using lm() to conduct a simple linear regression -- Coefficients -- Residual standard error -- Comparing actual values with predicted results -- Investigating relationships in the data -- Replicating our results using R and Tableau together -- Getting started with multiple regression?…”

Tabla de Contenidos: “…AEM for the plane stress problem3.3.3. Linear buckling of plates; 3.3.4. Examples; Example 3.1; Example 3.2; Example 3.3; 3.4. …”

Tabla de Contenidos: “…The multivariate Normal distributions; 3.12. Linear functions of multivariate data; Problems; References; Chapter 4: The power of linear models; 4.1. …”