Tabla de Contenidos: “…Half Title; MULTIPOINT METHODS FOR SOLVING NONLINEAR EQUATIONS; Copy right; Contents; Preface; Basic concepts; 1.1 Classification of iterative methods; 1.2 Order of convergence; 1.2.1 Computational order of convergence (COC); 1.2.2 R-order of convergence; 1.3 Computational efficiency of iterative methods; 1.4 Initial approximations; 1.5 One-point iterative methods for simple zeros; 1.6 Methods for determining multiple zeros; 1.7 Stopping criterion; Two-point methods; 2.1 Cubically convergent two-point methods; 2.1.1 Composite multipoint methods; 2.1.2 Traub's two-point methods…”

Tabla de Contenidos: “…Dichotomy approach; 3.3. Criterions for quality; Chapter 4. Quantitative Texture Analysis; 4.1. …”

“…The content includes modern topics such as wavelets, Fourier series, and Akaike's Information Criterion (AIC), which is not typical of current-day "classics." …”

Tabla de Contenidos: “…-- Cache invalidation -- CPU pipeline -- Branch prediction -- The relevance of branch prediction for our code -- Profiling tools -- Valgrind -- Callgrind -- Cachegrind -- OProfile -- Summary -- Chapter 6: Benchmarking -- Selecting what to benchmark -- Benchmarking in nightly Rust -- Benchmarking in stable Rust -- Continuous integration for benchmarks -- Travis-CI integration -- Benchmark statistics with Criterion -- Summary -- Chapter 7: Built-in Macros and Configuration Items -- Understanding attributes -- Trait derivations -- Crate features -- Configuration attributes -- Macros -- Console printing -- String formatting -- Compilation environment -- Loading byte arrays and strings at compile time -- Code paths -- Checking preconditions and postconditions -- Others -- Nightly Rust -- Conservative trait return -- Constant functions -- Inline assembly and naked functions -- Using bigger integers -- Single instruction multiple data -- Allocation API -- Compiler plugins -- Summary -- Chapter 8: Must-Have Macro Crates -- Working with external data -- Data serialization and deserialization -- Serializing and deserializing complex structures -- Parsing byte streams -- Learning about useful small crates -- Creating lazily evaluated statics -- Avoiding boilerplate code for the builder pattern -- Managing errors -- Logging efficiently in Rust -- Creating command-line interfaces -- Using Rust for web development -- Creating extremely efficient templates -- Connecting with a database -- Creating a complete web server -- Summary -- Chapter 9: Creating Your Own Macros -- Creating your own standard macros -- Macro variants -- Complex macros -- Creating procedural macros -- Implementing a simple trait -- Implementing complex derivations…”

Tabla de Contenidos: “…Cover -- Half-title page -- Title page -- Copyright page -- Dedication -- Contents -- Acknowledgments -- Introduction -- Chapter 1 The rule of law: a basic account -- I Opening technicalities -- II The weak version of the rule of law in two principles -- A Regularity -- B Publicity -- III Vertical equality -- A Respect and hubris -- B Terror -- C Normative robustness -- IV Closing technicalities -- Chapter 2 The strong version of the rule of law -- I Generality and the idea of a relevant distinction -- A Many conceptions of generality -- B Against the formal conception of generality -- C Public reason as relevance criterion -- II How to apply the public reason conception of generality -- A Public reason: expressive -- B Finding the expressive content of a law -- 1 Reasons and meanings -- 2 Proof of concept -- III Generality as egalitarian principle -- Chapter 3 Generality and hierarchy -- I The literacy tests: a model of nongeneral law -- II The rule of law and social facts -- A The disjunctive character of rule of law commands -- III The rule of law and the criminalization of poverty -- A The rule of law critique of economic injustice -- IV Is this still the rule of law? …”

Tabla de Contenidos: “…-- 9.2 Model Selection Strategies -- 9.3 Types of Model Selection -- 9.3.1 Methods of Re-Sampling -- 9.3.2 Random Separation -- 9.3.3 Time Divide -- 9.3.4 K-Fold Cross-Validation -- 9.3.5 Stratified K-Fold -- 9.3.6 Bootstrap -- 9.3.7 Possible Steps -- 9.3.8 Akaike Information Criterion (AIC) -- 9.3.9 Bayesian Information Criterion (BIC) -- 9.3.10 Minimum Definition Length (MDL) -- 9.3.11 Building Risk Reduction (SRM) -- 9.3.12 Excessive Installation (Overfitting) -- 9.4 The Principle of Parsimony -- 9.5 Examples of Model Selection Criterions -- 9.6 Other Popular Properties -- 9.7 Key Considerations -- 9.8 Model Validation -- 9.8.1 Why is Model Validation Important? …”

Tabla de Contenidos: “…Use value; 3.2.3.1. Functional criterion; 3.2.3.2. Non-functional criteria; 3.2.4. …”

Tabla de Contenidos: “…Chapter 2 Images, sampling and frequency domain processing2.1 Overview; 2.2 Image formation; 2.3 The Fourier transform; 2.4 The sampling criterion; 2.5 The discrete Fourier transform; 2.5.1 One-dimensional transform; 2.5.2 Two-dimensional transform; 2.6 Other properties of the Fourier transform; 2.6.1 Shift invariance; 2.6.2 Rotation; 2.6.3 Frequency scaling; 2.6.4 Superposition (linearity); 2.7 Transforms other than Fourier; 2.7.1 Discrete cosine transform; 2.7.2 Discrete Hartley transform; 2.7.3 Introductory wavelets: the Gabor wavelet; 2.7.4 Other transforms…”

Tabla de Contenidos: “…Adaptive reduction; 4.4.6. Stopping criterion/final temperature; Chapter 5.Parametric Inference for Marked Point Processes in Image Analysis; 5.1. …”

Tabla de Contenidos: “…Current Procedural Terminology (CPT) -- Logical Observation Identifiers Names and Codes (LOINC) -- National Drug Code (NDC) -- Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT) -- Breaking down healthcare analytics -- Population -- Medical task -- Screening -- Diagnosis -- Outcome/Prognosis -- Response to treatment -- Data format -- Structured -- Unstructured -- Imaging -- Other data format -- Disease -- Acute versus chronic diseases -- Cancer -- Other diseases -- Putting it all together - specifying a use case -- Summary -- References and further reading -- Chapter 3: Machine Learning Foundations -- Model frameworks for medical decision making -- Tree-like reasoning -- Categorical reasoning with algorithms and trees -- Corresponding machine learning algorithms - decision tree and random forest -- Probabilistic reasoning and Bayes theorem -- Using Bayes theorem for calculating clinical probabilities -- Calculating the baseline MI probability -- 2 x 2 contingency table for chest pain and myocardial infarction -- Interpreting the contingency table and calculating sensitivity and specificity -- Calculating likelihood ratios for chest pain (+ and -) -- Calculating the post-test probability of MI given the presence of chest pain -- Corresponding machine learning algorithm - the Naive Bayes Classifier -- Criterion tables and the weighted sum approach -- Criterion tables -- Corresponding machine learning algorithms - linear and logistic regression -- Pattern association and neural networks -- Complex clinical reasoning -- Corresponding machine learning algorithm - neural networks and deep learning -- Machine learning pipeline -- Loading the data -- Cleaning and preprocessing the data -- Aggregating data -- Parsing data -- Converting types -- Dealing with missing data -- Exploring and visualizing the data -- Selecting features…”

Tabla de Contenidos: “…-- Confidence intervals for any parameter -- A confidence interval code example -- What we learned -- Type I and Type II errors, and power -- What we learned -- Summary -- Exercises -- Notes and further reading -- Chapter 8: Model Complexity -- Technical requirements -- Generalization, overfitting, and the role of model complexity -- Overfitting -- Why overfitting is bad -- Overfitting increases the variability of predictions -- Underfitting is also a problem -- Measuring prediction error -- What we learned -- The bias-variance trade-off -- Proof of the bias-variance trade-off formula -- Double descent - a modern twist on the generalization error diagram -- What we learned -- Model complexity measures for model selection -- Selecting between classes of models -- Akaike Information Criterion -- Bayesian Information Criterion -- What we learned -- Summary -- Notes and further reading -- Chapter 9: Function Decomposition -- Technical requirements -- Why do we want to decompose a function? …”

Tabla de Contenidos: “…3.2 The Concept of the Essence of Human Rights ( Kerngehalt ) as a Threshold to Define Human Rights as a “Common Concern” -- 3.3 Systematic Human Rights Violations as an Additional Criterion -- 3.4 Grave Human Rights Violations as a Threat to International Peace and Security -- 4 The Potential of the Principle of the Common Concern of Humankind in International Human Rights Law -- 4.1 Reinforced Duty to Cooperate -- 4.2 The Domestication of International Human Rights Obligations -- 4.3 An Instrument for Providing Legality and Legitimacy to Unilateral Economic Sanctions -- 4.4 An Instrument to Empower Civil Society -- 5 Conclusion -- Bibliography -- Index…”

Tabla de Contenidos: “…Interpreting the posterior mean -- Interpreting the posterior predictions -- Generalizing the linear model -- Counting bikes -- Robust regression -- Logistic regression -- The logistic model -- Classification with logistic regression -- Interpreting the coefficients of logistic regression -- Variable variance -- Hierarchical linear regression -- Centered vs. noncentered hierarchical models -- Multiple linear regression -- Summary -- Exercises -- Chapter 5: Comparing Models -- Posterior predictive checks -- The balance between simplicity and accuracy -- Many parameters (may) lead to overfitting -- Too few parameters lead to underfitting -- Measures of predictive accuracy -- Information criteria -- Akaike Information Criterion -- Widely applicable information criteria -- Other information criteria -- Cross-validation -- Approximating cross-validation -- Calculating predictive accuracy with ArviZ -- Model averaging -- Bayes factors -- Some observations -- Calculation of Bayes factors -- Analytically -- Sequential Monte Carlo -- Savage-Dickey ratio -- Bayes factors and inference -- Regularizing priors -- Summary -- Exercises -- Chapter 6: Modeling with Bambi -- One syntax to rule them all -- The bikes model, Bambi's version -- Polynomial regression -- Splines -- Distributional models -- Categorical predictors -- Categorical penguins -- Relation to hierarchical models -- Interactions -- Interpreting models with Bambi -- Variable selection -- Projection predictive inference -- Projection predictive with Kulprit -- Summary -- Exercises -- Chapter 7: Mixture Models -- Understanding mixture models -- Finite mixture models -- The Categorical distribution -- The Dirichlet distribution -- Chemical mixture -- The non-identifiability of mixture models -- How to choose K -- Zero-Inflated and hurdle models -- Zero-Inflated Poisson regression -- Hurdle models…”

Tabla de Contenidos: “…Naturally Speaking: The Naturalness Criterion and Physics at the LHC G. F. Giudice; 10.1 Naturalness in Scientific Thought…”

Tabla de Contenidos: “…1.4.1 Plasma-wall transition: electrostatic phenomena1.4.1.1 Condition for stable sheath: Bohm criterion; 1.4.1.2 Monotonic solution for sheath-presheath region; 1.4.1.3 Mathematical formulation; 1.4.1.3.1 Presheath (quasi-neutral region, ne=ni); 1.4.1.3.2 Sheath; 1.4.1.3.3 Direct numerical solution of the sheath-presheath regions; 1.4.1.4 Monotonic potential distribution in the sheath; 1.4.1.5 Solutions in plasma and sheath regions: procedure of patching; 1.4.1.6 Typical electrostatic sheath; 1.4.1.6.1 Child-Langmuir sheath; 1.4.1.6.2 Sheath at floating wall…”

Tabla de Contenidos: “…-- Functions Relevant to Lookups -- Basic Lookup Formulas -- The VLOOKUP function -- The HLOOKUP function -- The LOOKUP function -- Combining the MATCH and INDEX functions -- Specialized Lookup Formulas -- Looking up an exact value -- Looking up a value to the left -- Performing a case-sensitive lookup -- Choosing among multiple lookup tables -- Determining letter grades for test scores -- Calculating a grade point average -- Performing a two-way lookup -- Performing a two-column lookup -- Determining the address of a value within a range -- Looking up a value by using the closest match -- Looking up a value using linear interpolation -- Chapter 9: Working with Tables and Lists -- Tables and Terminology -- A list example -- A table example -- Working with Tables -- Creating a table -- Changing the look of a table -- Navigating and selecting in a table -- Adding new rows or columns -- Deleting rows or columns -- Moving a table -- Removing duplicate rows from a table -- Sorting and filtering a table -- Working with the Total row -- Using formulas within a table -- Referencing data in a table -- Converting a table to a list -- Using Advanced Filtering -- Setting up a criteria range -- Applying an advanced filter -- Clearing an advanced filter -- Specifying Advanced Filter Criteria -- Specifying a single criterion -- Specifying multiple criteria -- Specifying computed criteria -- Using Database Functions -- Inserting Subtotals -- Chapter 10: Miscellaneous Calculations -- Unit Conversions -- Rounding Numbers -- Basic rounding formulas…”

Tabla de Contenidos: “…7.4.2 Transformer Representation in the Three Sequence Networks -- 7.4.3 Transmission Line Representation -- 7.4.4 Summary of Sequence Networks -- 7.5 Unbalanced or Unsymmetrical Fault Analysis -- 7.5.1 Single Line-to-Ground Fault (SLG Fault) -- 7.5.2 Double Line Fault (LL Fault) -- 7.5.3 Double Line-to-Ground (LLG) Fault -- 7.5.4 Three-Phase Symmetrical Fault in Terms of Sequence Components -- 7.6 Comparison of SLG and 3-Phase Faults -- 7.7 Consideration of Pre-Fault Load Currents -- 7.8 Fault Calculations Using Bus Impedance Matrix -- 7.8.1 Three-Phase Symmetrical Fault -- 7.8.2 Single Line-to-Ground Fault -- 7.8.3 Double Line Fault (LL Fault) -- 7.8.4 Double Line-to-Ground Fault -- Questions from Previous Question Papers -- Competitive Examination Questions -- Chapter 8: Power System Steady-State Stability Analysis -- 8.1 Introduction -- 8.2 Forms of Power System Stability -- 8.2.1 Small Signal Analysis -- 8.2.2 Large Signal Analysis-Transient Stability -- 8.3 Physical Concept of Torque and Torque Angle -- 8.4 Power Angle Curve and Transfer Reactance -- 8.5 The Swing Equation -- 8.6 Modelling Issues in the Stability Analysis -- 8.6.1 Synchronous Machine Model -- 8.6.2 Power System Model -- 8.6.3 Multi-Machine System -- 8.7 Assumptions made in Steady-State Stability Analysis -- 8.8 Steady-State Stability Analysis -- 8.9 Methods to Improve Steady-State Stability -- Questions from Previous Question Papers -- Competitive Examination Questions -- Chapter 9: Transient Stability -- 9.1 Transient Stability-Equal Area Criterion -- 9.1.1 Mathematical Approach to EAC -- 9.1.2 Application of Equal Area Criterion -- 9.1.3 Determination of Critical Clearing Angle -- 9.1.4 Determination of Critical Clearing Time [tcr] -- 9.1.5 Determination of Transfer Reactance Before, During and After Fault Conditions…”

Tabla de Contenidos: “…Intro -- Cubierta -- Portadilla -- Créditos -- Portada -- Preface -- Contents -- 1 Introduction -- 1.1 Problem statement and motivation -- 1.2 Research objective and scope of the work -- 1.3 Outline -- 2 Background -- 2.1 Introduction -- 2.2 Effect of earthquakes on underground structures -- 2.2.1 Effect of ground shaking on underground structures -- 2.3 Reported damage to underground structures during seismic events -- 2.3.1 A history case: The Daikai Station collapse -- 2.4 Drained seismic response -- 2.4.1 Free field approach -- 2.4.2 Soil-structure interaction approach -- 2.5 Undrained seismic response -- 2.5.1 Bobet (2003, 2010) -- 2.5.2 Okhovat and Maekawa (2009) -- 2.6 Constitutive models -- 2.6.1 Commonly used models -- 2.6.2 Complex models -- 2.7 Pore pressure models -- 2.7.1 Martin, Finn and Seed (1975) -- 2.7.2 Dobry, Pierce, Dyvik, Thomas and Ladd (1985) -- 2.7.3 Ivšić (2006) -- 2.8 Pore pressure generation in coarse-grained deposits -- 2.8.1 Numerical analyses -- 2.8.2 Cyclic large-size laboratory tests -- 2.9 Summary and discussion -- 3 Constitutive Model -- 3.1 Introduction -- 3.2 The cyclic nonlinear elastoplastic model -- 3.2.1 Hyperbolic behavior -- 3.2.2 Cyclic loading -- 3.2.3 Update of the small-strain shear modulus (Go) -- 3.2.4 Coupled shear-volumetric strains with excess pore pressures accumulation -- 3.2.5 Yield criterion and plastic strain -- 3.3 Implementation of the elastoplastic model in FLAC -- 3.3.1 Explicit, time-marching scheme -- 3.3.2 Lagrangian analysis -- 3.3.3 Mixed discretization scheme -- 3.3.4 Model implementation -- 3.4 Summary and discussion -- 4 Constitutive Model Verification -- 4.1 Introduction -- 4.2 Stage 1: stiffness degradation, comparison with 1-D codes and monotonic test -- 4.2.1 Stiffness degradation under drained cyclic simple shear -- 4.2.2 Comparison with 1D codes…”

Tabla de Contenidos: “…Significance of the criterion of economic substance -- XIX. Conclusion: lessons from differences between GAARs -- XX. …”

Tabla de Contenidos: “…Model formulation with cost based criterion -- 2.2. Permanent market impact: Optimal adapted solution -- 2.3. …”