Tabla de Contenidos: “…colortext-transform; text-decoration; text-indent; text-align; direction; text-shadow; box-shadow; Chapter 12: Spacing; line-height; word-spacing and letter-spacing; white-space; Chapter 13: Font; font-family; font-size; font-style; font-variant; font-weight; font; Custom fonts; Chapter 14: Background; background-color; background-image; background-repeat; background-attachment; background-position; background-size; background-clip; background-origin; background; Multiple backgrounds; Chapter 15: Gradients; Linear gradients; Radial gradients; Repeating gradients; Chapter 16: Box model…”

“…En los primeros capítulos del libro se tratan los modelos de subsistemas homogéneos basados en balances de materia o energía, así como los modelos de parámetro distribuido basados en ecuaciones de gradiente máximo. Posteriormente se pasa a tratar la composición de modelos de sistemas a partir de los modelos de los subsistemas que los constituyen. …”
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Tabla de Contenidos: “…Digital Image Inpainting, Image Dejittering, and Optical Flow Estimation -- Image Inpainting Using a TV-Stokes Equation -- Error Analysis for H1 Based Wavelet Interpolations -- Image Dejittering Based on Slicing Moments -- CLG Method for Optical Flow Estimation Based on Gradient Constancy Assumption -- Denoising and Total Variation Methods -- On Multigrids for Solving a Class of Improved Total Variation Based Staircasing Reduction Models -- A Method for Total Variation-based Reconstruction of Noisy and Blurred Images -- Minimization of an Edge-Preserving Regularization Functional by Conjugate Gradient Type Methods -- A Newton-type Total Variation Diminishing Flow -- Chromaticity Denoising using Solution to the Skorokhod Problem -- Improved 3D Reconstruction of Interphase Chromosomes Based on Nonlinear Diffusion Filtering -- Image Segmentation -- Some Recent Developments in Variational Image Segmentation -- Application of Non-Convex BV Regularization for Image Segmentation -- Region-Based Variational Problems and Normal Alignment – Geometric Interpretation of Descent PDEs -- Fast PCLSM with Newton Updating Algorithm -- Fast Numerical Methods -- Nonlinear Multilevel Schemes for Solving the Total Variation Image Minimization Problem -- Fast Implementation of Piecewise Constant Level Set Methods -- The Multigrid Image Transform -- Minimally Stochastic Schemes for Singular Diffusion Equations -- Image Registration -- Total Variation Based Image Registration -- Variational Image Registration Allowing for Discontinuities in the Displacement Field -- Inverse Problems -- Shape Reconstruction from Two-Phase Incompressible Flow Data using Level Sets -- Reservoir Description Using a Binary Level Set Approach with Additional Prior Information About the Reservoir Model…”

Tabla de Contenidos: “…Badano -- Biotic interactions, biodiversity, and community productivity / Richard Michalet and Blaise Touzard -- Arbuscular mycorrhizae and plant-plant interactions : impact of invisible world on visible patterns / Mari Moora and Martin Zobel -- Plant communities, plant-plant interactions, and climate change / Rob Brooker -- Synthetic analysis of the stress-gradient hypothesis / Christopher J. Lortie…”
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Tabla de Contenidos: “…Session I – File Systems, Storage and Communication -- A BeeGFS-based Caching File System for Data-intensive Parallel Computing -- Multiple HPC Environments-Aware Container Image Configuration Workflow for Large-Scale All-to-All Protein-Protein Docking Calculations -- DAOS: A Scale-out High Performance Storage Stack for Storage Class Memory -- Cloud Platform Optimization for HPC -- Session II – Applications and Scheduling -- swGBDT: Efficient Gradient Boosted Decision Tree on Sunway Many-core Processor -- Numerical Simulations of Serrated Propellers to Reduce Noise -- High-performance Computing in Maritime and Offshore Applications -- Correcting Job Walltime in a Resource-Constrained Environment…”

Tabla de Contenidos: “…Table of Contents; Preface; Audience; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Content Updates; May 27, 2011; Acknowledgments; Graphics and Animations; Basic Concepts for Adapting to Different Screen Sizes; Creating the Project Structure in Xcode; Enumerating and Loading Fonts; Drawing Text; Constructing, Setting, and Using Colors; Drawing Images; Drawing Lines; Constructing Paths; Drawing Rectangles; Adding Shadows to Shapes; Creating and Drawing Gradients; Displacing Shapes on Graphic Contexts; Scaling Shapes Drawn on Graphic Contexts…”

Tabla de Contenidos: “…Introductory Concepts -- 2. Flows, Gradients, and Transport Properties -- 3. Transport Properties of Materials -- 4. 1-D, Steady-State, Diffusive Transport -- 5. …”

Tabla de Contenidos: “…Badano -- Biotic interactions, biodiversity and community productivity / Richard Michalet & Blaise Touzard -- Arbuscular mycorrhiza and plant-plant interactions : impact of the invisible world on visible patterns / Mari Moora & Martin Zobel -- Plant communities, plant-plant interactions and climate change / Rob Brooker -- Synthetic analysis of the stress gradient hypothesis / Lortie, C.J…”

Tabla de Contenidos: “…Experience replay -- Target network -- Clipping rewards -- Understanding the algorithm -- Building an agent to play Atari games -- Double DQN -- Prioritized experience replay -- Dueling network architecture -- Summary -- Questions -- Further reading -- Chapter 9: Playing Doom with a Deep Recurrent Q Network -- DRQN -- Architecture of DRQN -- Training an agent to play Doom -- Basic Doom game -- Doom with DRQN -- DARQN -- Architecture of DARQN -- Summary -- Questions -- Further reading -- Chapter 10: The Asynchronous Advantage Actor Critic Network -- The Asynchronous Advantage Actor Critic -- The three As -- The architecture of A3C -- How A3C works -- Driving up a mountain with A3C -- Visualization in TensorBoard -- Summary -- Questions -- Further reading -- Chapter 11: Policy Gradients and Optimization -- Policy gradient -- Lunar Lander using policy gradients -- Deep deterministic policy gradient -- Swinging a pendulum -- Trust Region Policy Optimization -- Proximal Policy Optimization -- Summary -- Questions -- Further reading -- Chapter 12: Capstone Project - Car Racing Using DQN -- Environment wrapper functions -- Dueling network -- Replay memory -- Training the network -- Car racing -- Summary -- Questions -- Further reading -- Chapter 13: Recent Advancements and Next Steps -- Imagination augmented agents -- Learning from human preference -- Deep Q learning from demonstrations -- Hindsight experience replay -- Hierarchical reinforcement learning -- MAXQ Value Function Decomposition -- Inverse reinforcement learning -- Summary -- Questions -- Further reading -- Assessments -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Regressing with Scikit-learnMinimizing the cost function; Explaining the reason for using squared errors; Pseudoinverse and other optimization methods; Gradient Descent at work; Summary; Chapter 3: Multiple Regression in Action; Using multiple features; Model building with Statsmodels; Using formulas as an alternative; The correlation matrix; Revisiting gradient descent; Feature scaling; Unstandardizing coefficients; Estimating feature importance; Inspecting standardized coefficients; Comparing models by R-squared; Interaction models; Discovering interactions; Polynomial regression…”

Tabla de Contenidos: “…; Multiple Artboards; Welcome to the New and Improved Appearance Panel; Dropdowns (and Popups) Aplenty; Align Points Like They're Objects; Smart Guides That Are Really Smart; The Blob Brush Tool; Color Separations Preview; Color Blindness Preview; Gradient Enhancements; No More Filter Menu!; Summary…”

Tabla de Contenidos: “…Increasing clarityFinal adjustments and fine tuning; Levels Adjustments; First Save; Processing with textures; Pure texture; Effective texture removal; Using a mask layer effectively; The "paint away" technique; Processing example; The "paint away" technique on a single texture; Layering multiple textures; The "paint away" technique on multiple textures; Flatten; Beyond the textured; Gradient Fills; Processing example; Introducing Gradient Fills; Gradient fills on extreme backgrounds; Levels RGB tinting; Black-and-white conversion; Desaturating Textures; Solid color layers…”

Tabla de Contenidos: “…Depth of Digital Painting: Using Gradients -- 5. Imagery of Digital Painting: Using Patterns -- 6. …”

Tabla de Contenidos: “…Cover; Contents; Foreword; Preface; Author; Part I: Introduction; Chapter 1: Introduction to Reinforcement Learning; Part II: Model-Free Policy Iteration; Chapter 2: Policy Iteration with Value Function Approximation; Chapter 3: Basis Design for Value Function Approximation; Chapter 4: Sample Reuse in Policy Iteration; Chapter 5: Active Learning in Policy Iteration; Chapter 6: Robust Policy Iteration; Part III: Model-Free Policy Search; Chapter 7: Direct Policy Search by Gradient Ascent; Chapter 8: Direct Policy Search by Expectation-Maximization; Chapter 9: Policy-Prior Search…”

Tabla de Contenidos: “…Section 1: Getting Started with Deep Learning -- Chapter 1: Introduction to Deep Learning -- Chapter 2: Getting to Know TensorFlow -- Section 2: Fundamental Deep Learning Algorithms -- Chapter 3: Gradient Descent and Its Variants -- Chapter 4: Generating Song Lyrics Using RNN -- Chapter 5: Improvements to the RNN -- Chapter 6: Demystifying Convolutional Networks -- Chapter 7: Learning Text Representations -- Section 3: Advanced Deep Learning Algorithms -- Chapter 8: Generating Images Using GANs -- Chapter 9: Learning More about GANs -- Chapter 10: Reconstructing Inputs Using Autoencoders -- Chapter 11: Exploring Few-Shot Learning Algorithms -- Appendix A: Assessments -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Marital Status and Adult Mortality -- 8 Maternal and Infant Health: Understanding the Role of Institutions and Medical Innovations -- 9 The Late Emergence of the Socioeconomic Gradient in Adult Mortality: An Urban Phenomenon? -- 10 Income, Inequality, and Geography: Disparities in Age at Death -- 11 The Industrial City and Its People: Summary and Conclusion -- Index…”

Tabla de Contenidos: “…-- Ensemble methods -- Bootstrapping -- Bagging -- Decision tree -- Tree splitting -- Parameters of tree splitting -- Random forest algorithm -- Case study -- Boosting -- Gradient boosting -- Parameters of gradient boosting -- Summary -- Chapter 4: Training Neural Networks -- Neural networks -- How a neural network works -- Model initialization -- Loss function -- Optimization -- Computation in neural networks -- Calculation of activation for H1 -- Backward propagation -- Activation function -- Types of activation functions -- Network initialization -- Backpropagation -- Overfitting…”

Tabla de Contenidos: “…6.7.3 Attention Mechanism Network -- 6.7.4 Graph Convolutional Neural Network -- 6.8 Hands-On of Automobile Fuel Consumption Prediction -- 6.8.1 Dataset -- 6.8.2 Create a Network -- 6.8.3 Training and Testing -- 6.9 References -- Chapter 7: Backward Propagation Algorithm -- 7.1 Derivatives and Gradients -- 7.2 Common Properties of Derivatives -- 7.2.1 Common Derivatives -- 7.2.2 Common Property of Derivatives -- 7.2.3 Hands-On Derivative Finding -- 7.3 Derivative of Activation Function -- 7.3.1 Derivative of Sigmoid Function -- 7.3.2 Derivative of ReLU Function -- 7.3.3 Derivative of LeakyReLU Function -- 7.3.4 Derivative of Tanh Function -- 7.4 Gradient of Loss Function -- 7.4.1 Gradient of Mean Square Error Function -- 7.4.2 Gradient of Cross-Entropy Function -- 7.5 Gradient of Fully Connected Layer -- 7.5.1 Gradient of a Single Neuron -- 7.5.2 Gradient of Fully Connected Layer -- 7.6 Chain Rule -- 7.7 Back Propagation Algorithm -- 7.8 Hands-On Optimization of Himmelblau -- 7.9 Hands-On Back Propagation Algorithm -- 7.9.1 Dataset -- 7.9.2 Network Layer -- 7.9.3 Network model -- 7.9.4 Network Training -- 7.9.5 Network Performance -- 7.10 References -- Chapter 8: Keras Advanced API -- 8.1 Common Functional Modules -- 8.1.1 Common Network Layer Classes -- 8.1.2 Network Container -- 8.2 Model Configuration, Training, and Testing -- 8.2.1 Model Configuration -- 8.2.2 Model Training -- 8.2.3 Model Testing -- 8.3 Model Saving and Loading -- 8.3.1 Tensor Method -- 8.3.2 Network Method -- 8.3.3 SavedModel method -- 8.4 Custom Network -- 8.4.1 Custom Network Layer -- 8.4.2 Customized Network -- 8.5 Model Zoo -- 8.5.1 Load Model -- 8.6 Metrics -- 8.6.1 Create a Metrics Container -- 8.6.2 Write Data -- 8.6.3 Read Statistical Data -- 8.6.4 Clear the Container -- 8.6.5 Hands-On Accuracy Metric -- 8.7 Visualization -- 8.7.1 Model Side -- 8.7.2 Browser Side…”

Tabla de Contenidos: “…AutoCAD 2012 and AutoCAD LT 2012 Essentials; Introduction; Chapter 1: Getting Started; Chapter 2: Basic Drawing Skills; Chapter 3: Using Drawing Aids; Chapter 4: Editing Entities; Chapter 5: Shaping Curves; Chapter 6: Controlling Object Visibility and Appearance; Chapter 7: Organizing Objects; Chapter 8: Hatching and Gradients; Chapter 9: Working with Blocks and Xrefs; Chapter 10: Creating and Editing Text; Chapter 11: Dimensioning; Chapter 12: Keeping In Control with Constraints; Chapter 13: Working with Layouts and Annotative Objects; Chapter 14: Printing and Plotting…”

Tabla de Contenidos: “…Total Force Due to Pressure Gradients; D. Heuristic Deduction of Stokes' Formula…”