Tabla de Contenidos: “…Introduction -- Electrostatic Accelerator -- Linear Accelerator -- Classical Cyclotron -- Relativist Cyclotron -- Microtron -- Betatron -- Synchrocyclotron -- Weak Focusing Synchrotron -- Strong Focusing Synchrotron -- FFAG, Scaling -- Optical Elements -- Ancillary Tools -- Solutions -- Glossary…”

Tabla de Contenidos: “…Fundamentals of the q programming language -- Dictionaries and tables : the q fundamentals -- Functions -- Editors and other tools -- Debugging q code -- Splayed and partitioned tables -- Joins -- Parallelisation -- Data cleaning and filtering -- Parse trees -- A few use cases -- Basic overview of statistics -- Linear regression -- Time series econometrics -- Fourier transform -- Eigensystem and PCA -- Outlier detection -- Simulating asset prices -- Basic principles of machine learning -- Linear regression with regularisation -- Nearest neighbours -- Neural networks -- AdaBoost with stumps -- Trees -- Forests -- Unsupervised machine learning : the Apriori algorithm -- Processing information -- Towards AI : Monte Carlo tree search -- Econophysics : the agent-based computational models -- Epilogue: Art…”

Tabla de Contenidos: “…Chapter 12: Dynamical SystemsAPPENDIX: Review of Linear Algebra; Bibliography; Back Cover…”

Tabla de Contenidos: “…Front Cover; Contents; List of Figures; List of Tables; List of Abbreviations; Preface; Acknowledgements; Summary; Authors; Chapter 1: Introduction; Chapter 2: Preliminaries; Chapter 3: Linear Model Analysis of Real-Time Rendering; Chapter 4: Modelling Non-Linear Rendering Processes; Chapter 5: Model-Based Control; Chapter 6: Model-Less Control; Chapter 7: Applications, Challenges, and Possibilities; Chapter 8: Conclusion; Annex A: Sample Applications; Annex B: Patent for Application Method and System for Adaptive Control of Real-Time Computer Graphics Rendering…”

Tabla de Contenidos: “…Getting started : data analysis with JMP -- Data sources and structures -- Describing a single variable -- Describing two variables at a time -- Review of descriptive statistics -- Elementary probability and discrete distributions -- The normal model -- Sampling and sampling distributions -- Review of probability and probabilistic sampling -- Inference for a single categorical variable -- Inference for a single continuous variable -- Chi-square tests -- Two-sample inference for a continuous variable -- Analysis of variance -- Simple linear regression inference -- Residuals analysis and estimation -- Review of univariate and bivariate inference -- Multiple regression -- Categorical, curvilinear, and non-linear regression models -- Basic forecasting techniques -- Elements of experimental design -- Quality improvement…”

Tabla de Contenidos: “…II : 1900-1950 / Bernardo Giner de los Ríos. - 230 p. : il…”

“…La gineta es un mamífero depredador, de costumbres nocturnas. …”

Tabla de Contenidos: “…Introduction -- 2. Python -- 3. Linear and Volterra filters -- 4. Median filters and some extensions -- 5. …”

Tabla de Contenidos: “…Fundamentals of six sigma -- Introduction to statistics -- Presenting data in charts and tables -- Descriptive statistics -- Probability and probability distributions -- Sampling distributions and confidence intervals -- Hypothesis testing -- Design of experiments -- Simple linear regression -- Multiple regression…”

Tabla de Contenidos: “…Front Matter -- Antenna Array Basics -- Array Factor Analysis -- Linear and Planar Array Factor Synthesis -- Array Factors and Element Patterns -- Nonplanar Arrays -- Mutual Coupling -- Array Beamforming Networks -- Smart Arrays -- Index…”

Tabla de Contenidos: “…Building Commits -- 3. Linear History -- 4. Complex Branching -- 5. Collaboration -- 6. …”

Tabla de Contenidos: “…Introduction to Spreadsheet Models for Optimization; 1.1 Elements of a Model; 1.2 Spreadsheet Models; 1.3 A Hierarchy for Analysis; 1.4 Optimization Software; 1.5 Using Solver; Summary; Exercises; References; 2. Linear Programming: Allocation, Covering, and Blending Models; 2.1 Linear Models; 2.1.1 Linear Constraints; 2.1.2 Formulation; 2.1.3 Layout; 2.1.4 Results; 2.2 Allocation Models; 2.2.1 The Product Mix Problem; 2.3 Covering Models; 2.3.1 The Staff-Scheduling Problem; 2.4 Blending Models; 2.5 Modeling Errors in Linear Programming; 2.5.1 Exceptions; 2.5.2 Debugging…”

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