Tabla de Contenidos: “…Index Selectivity -- Unique Indexes -- Index Scans -- Case-Insensitive Searches -- Compound Indexes -- Compound Index Performance -- Compound Index Key Order -- Guidelines for Compound Indexes -- Covering Indexes -- Index Merges -- Partial and Sparse Indexes -- Partial Indexes -- Sparse Indexes -- Using Indexes for Sorting and Joining -- Sorting -- Using Indexes for Joins -- Index Overhead -- Wildcard Indexes -- Text Indexes -- Text Index Performance -- Geospatial Indexes -- Geospatial Index Performance -- Geospatial Index Limitations -- Summary -- Part III: Tuning MongoDB Code -- Chapter 6: Query Tuning -- Caching Results -- Optimizing Network Round Trips -- Projections -- Batch Processing -- Avoiding Excessive Network Round Trips in Code -- Bulk Inserts -- Application Architecture -- Choosing an Index vs. a Scan -- Overriding the Optimizer with Hints -- Optimizing Sort Operations -- Picking or Creating the Right Index -- Filter Strategies -- Not Equals Conditions -- Range Queries -- OR or IN Operations -- Array Queries -- Regular Expressions -- exists Queries -- Optimizing Collection Scans -- Summary -- Chapter 7: Tuning Aggregation Pipelines -- Tuning Aggregation Pipelines -- Optimizing Aggregation Ordering -- Automatic Pipeline Optimizations -- Optimizing Multi-collection Joins -- Join Order -- Optimizing Graph Lookups -- Aggregation Memory Utilization -- Sorting in Aggregation Pipelines -- Indexed Aggregation Sorts -- Disk Sorts -- Optimizing Views -- Materialized Views -- Summary -- Chapter 8: Inserts, Updates, and Deletes -- Fundamentals -- Filter Optimizations -- Explaining a Data Manipulation Statement -- Index Overhead -- Finding Unused Indexes -- Write Concern -- Inserts -- Batch Processing -- Cloning Data -- Loading from Files -- Updates -- Dynamic Value Bulk Updates -- The multi:true Flag -- Upserts -- Bulk Upsert with merge…”

Tabla de Contenidos: “…Responsiveness to Customers and Clients -- Minimized Risks and Costs -- This Is So Preventable -- Endnotes -- Chapter 3: Ascent of Neuroscience -- Equal Does Not Mean the Same! -- The Ascent of Neuroscience -- The Domino Effect -- Bell Curve of Gender Tendencies -- The Ability to Peer More Deeply -- Sex Differences in Brain Structure and Function -- Prefrontal Cortex -- Corpus Callosum -- Anterior Cortex -- Insula -- Hippocampus -- Amygdala -- Cerebellum -- Sex Differences in Hormonal Composition -- Testosterone -- Oxytocin -- Cortisol -- The Breakthrough That Knowledge Brings -- Endnotes -- Chapter 4: Ascent of Women -- The First Long Step -- Women Joining Business Clubs -- Cultures Clinging to Tradition -- The Ascent of Women -- Education Across the Globe -- Under My Very Nose! …”

Tabla de Contenidos: “…Signal Presentation for Listening -- 4.5.5. Headphone Equalization -- iii -- Chapter 5: Implementation and Verification -- 5.1. …”

Tabla de Contenidos: “…-- Not all Customization Is equal -- Technology Accelerates Mass Customization -- Customization of Standardized Products and Services -- Value Streams -- Culture rules -- Summary -- Food for Thought -- Glossary -- Part III Measuring and Managing to Build Customer Value -- Chapter 11 Optimizing around the Customer: Measuring the Success of Customer-Based Initiatives and the Customer-Centric Organization -- Customer Equity -- Customer Loyalty and Customer Equity -- Return on Customer -- Leading Indicators of LTV Change -- Lifetime Value Drivers -- Lifestyle Changes -- Behavioral Cues -- Customer Attitudes -- Stats and the Single Customer -- Summary -- Food for Thought -- Glossary -- Chapter 12 Using Customer Analyticsto Build the Success of the Customer-Strategy Enterprise -- Summary…”

Tabla de Contenidos: “…Buy-Hold Myth #3: Don't Be the Fool Who Sells at the Bottom Mini-Myth: You Don't Want to Miss the Rebound Mini-Myth: the Rebound is Equal to the Fall The Two Fools of Mayberry R.F.D. …”

Tabla de Contenidos: “…-- What Is Equity? -- Equity ≠ Equality -- Equity &gt -- Compensation -- What Is Inclusion? …”

Tabla de Contenidos: “…Advocates: A Different Breed Entirely Most Passionate Customers Most Engaged Customers One Size Doesn't Fit All Surprisingly Large Segment Global Advocates An Army Of Advocates Visible Advocates Hidden Advocates Diverse Group Depends On The Category Active Advocates Vive La Difference Not All Fans Are Brand Advocates Different Motivations Not All Loyal Customers Are Advocates Not All Community Members Are Advocates Brand Advocates Are Players (In A Good Way) Customers & Other Advocates Few Customers, Many Advocates Can't Keep A Secret Advocacy Moves Online You Don't Need To Own It To Recommend It Chapter 2: Not All Advocates Are Equal 1. Advocate Influence Measuring Advocate's Klout 2. …”

Tabla de Contenidos: “…-- No One Wants a One-Down Partner -- Why One-Down Salespeople Lose Deals -- One-Up Tactics -- A Meeting of Equals -- Chapter 1 The Modern Sales Approach -- The Legacy Laggard -- Legacy Solutions -- The Modern Approach -- True Confessions of a Legacy Salesperson -- How Your Client Knows You Are One-Down -- Mistakes to Avoid -- The Virtuous Circle of Increasing One-Upness -- How Being One-Down Makes You One-Up -- Learning From Your One-Up Client -- Chapter 2 The One-Up Sales Conversation: Your Only Vehicle for Value Creation -- The Commoditization of the Sales Call -- The Single Vehicle for Value Creation Is the Sales Conversation -- How to Command Your Contact's Attention -- How a One-Up Salesperson Creates Value -- Understanding Their World in the Context of a Decision -- Recognizing Forces and Their Impact on Results -- Starting the New Sales Conversation -- An Explanation of this Approach -- Chapter 3 Insights and Information Disparity -- Trade Secrets -- The New Information Disparity -- You Don't Know What You Don't Know -- The New Information Disparity in Six Questions -- What Is Going On? …”

Tabla de Contenidos: “…Tinayre, [On Working Women's Equality and the Inclusion of Different Political Opinions] -- Trade Union and Strike : 12. …”

Tabla de Contenidos: “…3.5.1 Conditional Probability Function -- 3.5.2 Conditional Probability Density Function -- 3.6 Expectations -- 3.6.1 Moments -- 3.6.2 Expected Value of Function of Random Variable -- 3.6.3 Covariance -- 3.7 Conditional Expectations -- 3.8 Convergence of Random Variables -- 3.9 Random Processes -- 3.10 Markov Processes -- 3.11 Hidden Markov Models -- 3.12 Gaussian Processes -- Exercises -- Part II Optimization -- Chapter 4 Optimization Theory -- 4.1 Basic Concepts and Terminology -- 4.1.1 Optimization Problems -- 4.1.2 Equivalent Problems -- 4.2 Convex Sets -- 4.2.1 Convexity‐Preserving Operations -- 4.2.1.1 Intersection -- 4.2.1.2 Affine Transformation -- 4.2.1.3 Perspective Transformation -- 4.2.2 Examples of Convex Sets -- 4.2.2.1 Hyperplanes and Halfspaces -- 4.2.2.2 Polyhedral Sets -- 4.2.2.3 Norm Balls and Ellipsoids -- 4.2.2.4 Convex Cones -- 4.2.3 Generalized Inequalities -- 4.3 Convex Functions -- 4.3.1 First‐ and Second‐Order Conditions for Convexity -- 4.3.2 Convexity‐Preserving Operations -- 4.3.2.1 Scaling, Sums, and Integrals -- 4.3.2.2 Pointwise Maximum and Supremum -- 4.3.2.3 Affine Transformation -- 4.3.2.4 Perspective Transformation -- 4.3.2.5 Partial Infimum -- 4.3.2.6 Square of Nonnegative Convex Functions -- 4.3.3 Examples of Convex Functions -- 4.3.3.1 Norms -- 4.3.3.2 Indicator and Support Functions -- 4.3.4 Conjugation -- 4.3.5 Dual Norms -- 4.4 Subdifferentiability -- 4.4.1 Subdifferential Calculus -- 4.4.1.1 Nonnegative Scaling -- 4.4.1.2 Summation -- 4.4.1.3 Affine Transformation -- 4.4.1.4 Pointwise Maximum -- 4.4.1.5 Subgradients of Conjugate Functions -- 4.5 Convex Optimization Problems -- 4.5.1 Optimality Condition -- 4.5.2 Equality Constrained Convex Problems -- 4.6 Duality -- 4.6.1 Lagrangian Duality -- 4.6.2 Lagrange Dual Problem -- 4.6.3 Fenchel Duality -- 4.7 Optimality Conditions…”

Tabla de Contenidos: “…3.4.1 Read-only-Interface -- 3.4.2 Immutable-Klasse -- 3.4.3 Marker-Interface -- 3.4.4 Konstantensammlungen und Aufzählungen -- 3.4.5 Value Object (Data Transfer Object) -- 3.5 Prinzipien guten OO-Designs -- 3.5.1 Geheimnisprinzip nach Parnas -- 3.5.2 Law of Demeter -- 3.5.3 SOLID-Prinzipien -- 3.6 Formen der Varianz -- 3.6.1 Grundlagen der Varianz -- 3.6.2 Kovariante Rückgabewerte -- 3.7 Generische Typen (Generics) -- 3.7.1 Einführung -- 3.7.2 Generics und Auswirkungen der Type Erasure -- 3.8 Weiterführende Literatur -- 4 Lambdas, Methodenreferenzen und Defaultmethoden -- 4.1 Einstieg in Lambdas -- 4.1.1 Syntax von Lambdas -- 4.1.2 Functional Interfaces und SAM-Typen -- 4.1.3 Exceptions in Lambdas -- 4.2 Syntaxerweiterungen in Interfaces -- 4.2.1 Defaultmethoden -- 4.2.2 Statische Methoden in Interfaces -- 4.3 Methodenreferenzen -- 4.4 Externe vs. interne Iteration -- 4.5 Wichtige Functional Interfaces für Collections -- 4.5.1 Das Interface Predicate&lt -- T&gt -- -- 4.5.2 Das Interface UnaryOperator&lt -- T&gt -- -- 4.6 Praxiswissen: Definition von Lambdas -- 5 Java-Grundlagen -- 5.1 Die Klasse Object -- 5.1.1 Die Methode toString() -- 5.1.2 Die Methode equals() -- 5.2 Primitive Typen und Wrapper-Klassen -- 5.2.1 Grundlagen -- 5.2.2 Konvertierung von Werten -- 5.2.3 Wissenswertes zu Auto-Boxing und Auto-Unboxing -- 5.2.4 Ausgabe und Verarbeitung von Zahlen -- 5.3 Stringverarbeitung -- 5.3.1 Die Klasse String -- 5.3.2 Die Klassen StringBuffer und StringBuilder -- 5.3.3 Ausgaben mit format() und printf() -- 5.3.4 Die Methode split() und reguläre Ausdrücke -- 5.3.5 Optimierung bei Strings in JDK 9 -- 5.3.6 Neue Methoden in der Klasse String in JDK 11 -- 5.4 Varianten innerer Klassen -- 5.5 Ein- und Ausgabe (I/O) -- 5.5.1 Dateibehandlung und die Klasse File -- 5.5.2 Ein- und Ausgabestreams im Überblick…”

Tabla de Contenidos: “…Differences (1867) / Nathan Mayer -- As it was written: a Jewish musician's story (1885) / Sidney Luska -- Other things being equal (1892) / Emma Wolf -- Joseph Zalmonah (1893) / Edward King -- Yekl (1896) and The imported bridegroom and other stories of the New York ghetto (1898) / Abraham Cahan -- Children of men (1903) / Bruno Lessing -- Q.E.D. (1903) / Gertrude Stein -- Motl, the cantor's son (1907-16) / Sholem Aleichem -- The tether (1908) / Ezra Brudno -- The rise of David Levinsky (1917) / Abraham Cahan -- The chosen people (1917) / Sidney Nyburg -- Fanny herself (1917) / Edna Ferber -- Salome of the tenements (1923) / Anzia Yezierska -- Haunch, paunch and jowl (1923) / Samuel Ornitz -- Bread givers (1925) / Anzia Yezierska -- Amerika (1927) / Franz Kafka -- The island within (1928) / Ludwig Lewisohn -- Arnold Levenberg (1928) / David Pinski -- Singermann (1929) / Myron Brinig -- Bottom dogs (1929) / Edward Dahlberg -- Jews without money (1930) / Michael Gold -- By the waters of Manhattan (1930) / Charles Reznikoff -- Thicker than water (1932) / Vera Caspary -- Miss Lonelyhearts (1933) and The day of the locust (1939) / Nathanael West -- Call it sleep (1934) / Henry Roth -- Summer in Williamsburg, homage to Blenholt, and Low Company (1934) / Daniel Fuchs -- The education of H*Y*M*A*N K*A*P*L*A*N (1937) / Leonard Q. …”
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Tabla de Contenidos: “…-- IMPLEMENTATION OF HALAL FOOD POLICY IN PADANG CITY AND SOUTHEAST ASIA -- IMPLEMENTATION OF INDONESIA LAW NO.18/2017 AND ASEAN CONSENSUS FOR INDONESIAN WOMEN MIGRANT WORKER BY PLACEMENT AND PROTECTION SERVICE CENTER, SOUTH SUMATRA PROVINCE -- THE NEED FOR CHILDREN'S TOY SAFETY POLICY IN ASEAN -- THE FACTORS THAT CAUSED OF ASEAN SECURITY REGIME FAIL TO DEAL WITH THE TRANSNATIONAL CRIME OF NARCOTICS SMUGGLING IN SOUTHEAST ASIA -- DEVELOPMENT OF LAW ON ACCESS AND BENEFIT SHARING FROM UTILIZATION OF GENETIC RESOURCES OF INDIGENOUS PEOPLE -- SECURITIZING THE ENVIRONMENT: A CASE OF MARINE DEBRIS IN INDONESIA -- INDONESIA MARITIME CONNECTIVITY, DEVELOPMENT EQUALITY AND ASEAN CONNECTIVITY -- THE POTENTIAL SOURCE OF CONFLICT IN ASEAN SEAWATER -- IMPLEMENT THE SAVE MANINJAU POLICY ON LAKE MANINJAU -- IMPLEMENTATION OF THE POLICY FOR THE ESTABLISHMENT OF VILLAGE-OWNED ENTERPRISES IN THE ERA OF THE ASEAN ECONOMIC COMMUNITY IN SOUTH SOLOK REGENCY -- TRANSFORMATION FROM STATE-CENTERED TO PEOPLE-CENTERED SECURITY IN ASEAN COMMUNITY: MILESTONE OF THE ASEAN APPROACH TO HUMAN SECURITY -- LOCAL POLITICAL CONTESTATION WITH NATIONAL ON THE IMPLEMENTATION OF DEMOCRARCY AND GOOD GOVERNANCE INI ASEAN COUNTRIES -- THE STANDARDIZATION OF TRADITIONAL MEDICINE FOR PROGRESSIVE LAW PROTECTION OF CONSUMERS IN PALEMBANG -- ETHNOBOTANY OF WILD EDIBLE FRUIT SPECIES AND THEIR CONTRIBUTION TO FOOD SECURITY IN THE NORTH ACEH REGION, INDONESIA -- MALAYSIA- INDONESIA SOFT POWER AND FOREIGN POLICY: STRENGTHENING BILATERAL RELATIONS THROUGH INTERNATIONALIZATION OF HIGHER EDUCATION -- THE POLICY OF ASEAN COMPREHENSIVE INVESTMENT AGREEMENT (ACIA) IN THE LAW OF INDONESIA'S CAPITAL INVESTMENT ON THE ASEAN ECONOMIC COMMUNITY -- THE JURIDICAL REVIEW OF LAW AMENDMENT OF BRAND AND GEOGRAPHIC INDICATION IN TRADING LIBERALIZATION OF ASEAN AND THE INFLUENCE TO INDONESIA -- II. …”

Tabla de Contenidos: “…-- ColorMunki -- Toning the B&amp -- W Print -- Display and Storage Conditions for Maximum Print Longevity -- Chapter 13: Archiving and Permanence -- The Special Needs of Digital Storage -- In a Material World -- Picking Up the Pieces -- It's Just a Matter of Time -- All Storage Is Not Created Equal -- Can You Hear Me Now? -- Babel Fish -- Final Words -- Index…”

Tabla de Contenidos: “…Networks for sequence data -- RNNs and LSTMs -- Building a better optimizer -- Gradient descent to ADAM -- Xavier initialization -- Summary -- References -- Chapter 4: Teaching Networks to Generate Digits -- The MNIST database -- Retrieving and loading the MNIST dataset in TensorFlow -- Restricted Boltzmann Machines: generating pixels with statistical mechanics -- Hopfield networks and energy equations for neural networks -- Modeling data with uncertainty with Restricted Boltzmann Machines -- Contrastive divergence: Approximating a gradient -- Stacking Restricted Boltzmann Machines to generate images: the Deep Belief Network -- Creating an RBM using the TensorFlow Keras layers API -- Creating a DBN with the Keras Model API -- Summary -- References -- Chapter 5: Painting Pictures with Neural Networks Using VAEs -- Creating separable encodings of images -- The variational objective -- The reparameterization trick -- Inverse Autoregressive Flow -- Importing CIFAR -- Creating the network from TensorFlow 2 -- Summary -- References -- Chapter 6: Image Generation with GANs -- The taxonomy of generative models -- Generative adversarial networks -- The generator model -- Training GANs -- Non-saturating generator cost -- Maximum likelihood game -- Vanilla GAN -- Improved GANs -- Deep Convolutional GAN -- Vector arithmetic -- Conditional GAN -- Wasserstein GAN -- Progressive GAN -- The overall method -- Progressive growth-smooth fade-in -- Minibatch standard deviation -- Equalized learning rate -- Pixelwise normalization -- TensorFlow Hub implementation -- Challenges -- Training instability -- Mode collapse -- Uninformative loss and evaluation metrics -- Summary -- References -- Chapter 7: Style Transfer with GANs -- Paired style transfer using pix2pix GAN -- The U-Net generator -- The Patch-GAN discriminator -- Loss -- Training pix2pix -- Use cases…”

Tabla de Contenidos: “…-- SECTION II: HOW TO USE THE 12 WEEK YEAR -- CHAPTER 3: CRAFTING YOUR WRITING VISION -- CRAFTING YOUR VISION -- ASPIRATIONAL VISION -- ACTION STEP: CRAFT YOUR ASPIRATIONAL VISION -- ACTION STEP: COMPOSE YOUR ASPIRATIONAL VISION NARRATIVE -- NEAR-TERM VISION -- ACTION STEP: CREATE YOUR NEAR-TERM VISION -- YOUR WRITER'S VISION -- ACTION STEP: CRAFT YOUR WRITER'S VISION -- YOUR NEXT WRITING PROJECT -- ACTION STEP: IDENTIFY YOUR NEXT WRITING PROJECT -- THE VISION CONVERSATION THAT CHANGED MY LIFE -- NOTES -- CHAPTER 4: CREATING YOUR 12 WEEK PLAN -- WHY 12 WEEK PLANS ARE SO POWERFUL -- NOT ALL PLANS ARE CREATED EQUAL -- CREATING YOUR 12 WEEK PLAN -- ACTION STEP: BREAK YOUR WRITING PROJECT INTO 12 WEEK CHUNKS -- ACTION STEP: DETERMINE THE GOALS FOR YOUR FIRST 12 WEEK PLAN -- THREE STEPS FOR TACTIC GENERATION -- ACTION STEP: USE MIND MAPPING TO BRAINSTORM TACTICS FOR YOUR 12 WEEK GOALS -- ACTION STEP: IDENTIFY THE MOST IMPORTANT TACTICS AND DECIDE WHICH ONES TO PURSUE IN YOUR 12 WEEK PLAN -- NOTES -- CHAPTER 5: CREATING YOUR MODEL WEEK -- THE POWER OF THE MODEL WEEK -- THE MODEL WEEK -- HOW TO HANDLE SCHEDULE CHANGES ON THE FLY -- ACTION STEP: CREATE YOUR MODEL WEEK -- CHAPTER 6: THE WEEKLY WRITING GROUP -- WHY ARE WRITING GROUPS SO IMPORTANT?…”

Tabla de Contenidos: “…<P><b>1 Introductory Concepts and Calculus Review 1</b></p> <p>1.1 Basic Tools of Calculus 1</p> <p>1.2 Error, Approximate Equality, and Asymptotic Order Notation 10</p> <p>1.3 A Primer on Computer Arithmetic 13</p> <p>1.4 A Word on Computer Languages and Software 17</p> <p>1.5 A Brief History of Scientific Computing 18</p> <p><b>2 A Survey of Simple Methods and Tools 19</b></p> <p>2.1 Horner's Rule and Nested Multiplication 19</p> <p>2.2 Difference Approximations to the Derivative 22</p> <p>2.3 Application: Euler's Method for Initial Value Problems 30</p> <p>2.4 Linear Interpolation 34</p> <p>2.5 Application-The Trapezoid Rule 38</p> <p>2.6 Solution of Tridiagonal Linear Systems 46</p> <p>2.7 Application: Simple Two-Point Boundary Value Problems 50</p> <p><b>3 Root-Finding 55</b></p> <p>3.1 The Bisection Method 55</p> <p>3.2 Newton's Method: Derivation and Examples 59</p> <p>3.3 How to Stop Newton's Method 63</p> <p>3.4 Application: Division Using Newton's Method 66</p> <p>3.5 The Newton Error Formula 69</p> <p>3.6 Newton's Method: Theory and Convergence 72</p> <p>3.7 Application: Computation of the Square Root 76</p> <p>3.8 The Secant Method: Derivation and Examples 79</p> <p>3.9 Fixed Point Iteration 83</p> <p>3.10 Roots of Polynomials (Part 1) 85</p> <p>3.11 Special Topics in Root-finding Methods 88</p> <p>3.12 Very High-order Methods and the Efficiency Index 98</p> <p><b>4 Interpolation and Approximation 101</b></p> <p>4.1 Lagrange Interpolation 101</p> <p>4.2 Newton Interpolation and Divided Differences 104</p> <p>4.3 Interpolation Error 114</p> <p>4.4 Application: Muller's Method and Inverse Quadratic Interpolation 119</p> <p>4.5 Application: More Approximations to the Derivative 121</p> <p>4.6 Hermite Interpolation 122</p> <p>4.7 Piecewise Polynomial Interpolation 125</p> <p>4.8 An Introduction to Splines 129</p> <p>4.9 Tension Splines 135</p> <p>4.10 Least Squares Concepts in Approximation 137</p> <p>4.11 Advanced Topics in Interpolation Error 142</p> <p><b>5 Numerical Integration 149</b></p> <p>5.1 A Review of the Definite Integral 149</p> <p>5.2 Improving the Trapezoid Rule 151</p> <p>5.3 Simpson's Rule and Degree of Precision 154</p> <p>5.4 The Midpoint Rule 162</p> <p>5.5 Application: Stirling's Formula 166</p> <p>5.6 Gaussian Quadrature 167</p> <p>5.7 Extrapolation Methods 173</p> <p>5.8 Special Topics in Numerical Integration 177</p> <p><b>6 Numerical Methods for Ordinary Differential Equations 185</b></p> <p>6.1 The Initial Value Problem-Background 185</p> <p>6.2 Euler's Method 187</p> <p>6.3 Analysis of Euler's Method 189</p> <p>6.4 Variants of Euler's Method 190</p> <p>6.5 Single Step Methods-Runge-Kutta 197</p> <p>6.6 Multistep Methods 200</p> <p>6.7 Stability Issues 204</p> <p>6.8 Application to Systems of Equations 206</p> <p>6.9 Adaptive Solvers 210</p> <p>6.10 Boundary Value Problems 212</p> <p><b>7 Numerical Methods for the Solution of Systems of Equations 217</b></p> <p>7.1 Linear Algebra Review 217</p> <p>7.2 Linear Systems and Gaussian Elimination 218</p> <p>7.3 Operation Counts 223</p> <p>7.4 The <i>LU </i>Factorization 224</p> <p>7.5 Perturbation, Conditioning and Stability 229</p> <p>7.6 SPD Matrices and the Cholesky Decomposition 235</p> <p>7.7 Application: Numerical Solution of Linear Least Squares Problems 236</p> <p>7.8 Sparse and Structured Matrices 240</p> <p>7.9 Iterative Methods for Linear Systems -- A Brief Survey 241</p> <p>7.10 Nonlinear Systems: Newton's Method and Related Ideas 242</p> <p>7.11 Application: Numerical Solution of Nonlinear BVP's 244</p> <p><b>8 Approximate Solution of the Algebraic Eigenvalue Problem 247</b></p> <p>8.1 Eigenvalue Review 247</p> <p>8.2 Reduction to Hessenberg Form 249</p> <p>8.3 Power Methods 250</p> <p>8.4 Bisection and Inertia to Compute Eigenvalues of Symmetric Matrices 253</p> <p>8.5 An Overview of the <i>QR </i>Iteration 257</p> <p>8.6 Application: Roots of Polynomials, II 260</p> <p>8.7 Application: Computation of Gaussian Quadrature Rules 261</p> <p><b>9 A Survey of Numerical Methods for Partial Differential Equations 265</b></p> <p>9.1 Difference Methods for the Diffusion Equation 265</p> <p>9.2 Finite Element Methods for the Diffusion Equation 270</p> <p>9.3 Difference Methods for Poisson Equations 271</p> <p><b>10 An Introduction to Spectral Methods 277</b></p> <p>10.1 Spectral Methods for Two-Point Boundary Value Problems 277</p> <p>10.2 Spectral Methods in Two Dimensions 279</p> <p>10.3 Spectral Methods for Time-Dependent Problems 282</p> <p>10.4 Clenshaw-Curtis Quadrature 283</p>…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1 You Can Be Financially Free -- Defining What Financial Freedom Means for You -- Financial Freedom Is an Equal Opportunity Employer -- Chapter 1 Key Points -- Part I Freelancing -- Chapter 2 Why Freelancing First Makes Sense -- What Is Freelancing? …”

Tabla de Contenidos: “…Australia: The National Indigenous Reform Agreement (2007) -- Australia: The Higher Education Participation and Partnerships Programme (2010) -- Nova Scotia (Canada): The Schools Plus Programme (2008) -- Chile: Preferential School Subsidy (2008) -- Estonia: Pathfinder Centres (2015) -- Finland: Preparatory Curricula for immigrant students (2009, updated 2015) -- Finland: Student Welfare Act (2013) -- Germany: Education Alliances (2013) -- Ireland: Delivering Equality of Opportunity in Schools (2005, 2017) -- Norway: Certificate of Practice Scheme (2008, 2011) -- Portugal: National Programme to Promote Educational Success (2016) -- Slovenia: Project for the Successful Integration of Roma Students in Schools (2008-15) -- Annex 10. …”

Tabla de Contenidos: “…Correlating individual stocks with the broader market -- Exploring risk and return -- Examining the market with the non-parametric runs test -- Testing for random walks -- Determining market efficiency with autoregressive models -- Creating tables for a stock prices database -- Populating the stock prices database -- Optimizing an equal weights two-asset portfolio -- Chapter 8: Text Mining and Social Network Analysis -- Introduction -- Creating a categorized corpus -- Tokenizing news articles in sentences and words -- Stemming, lemmatizing, filtering, and TF-IDF scores -- Recognizing named entities -- Extracting topics with non-negative matrix factorization -- Implementing a basic terms database -- Computing social network density -- Calculating social network closeness centrality -- Determining the betweenness centrality -- Estimating the average clustering coefficient -- Calculating the assortativity coefficient of a graph -- Getting the clique number of a graph -- Creating a document graph with cosine similarity -- Chapter 9: Ensemble Learning and Dimensionality Reduction -- Introduction -- Recursively eliminating features -- Applying principal component analysis for dimension reduction -- Applying linear discriminant analysis for dimension reduction -- Stacking and majority voting for multiple models -- Learning with random forests -- Fitting noisy data with the RANSAC algorithm -- Bagging to improve results -- Boosting for better learning -- Nesting cross-validation -- Reusing models with joblib -- Hierarchically clustering data -- Taking a Theano tour -- Chapter 10: Evaluating Classifiers, Regressors, and Clusters -- Introduction -- Getting classification straight with the confusion matrix -- Computing precision, recall, and F1-score -- Examining a receiver operating characteristic and the area under a curve…”