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Handbook of OR/MS models in hazardous materials transportation by SpringerLink (Online service)

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Springer handbook of mechanical engineering by SpringerLink (Online service)

Contents: “…Equilibria -- First Law of Thermodynamics -- Second Law of Thermodynamics -- Exergy and Anergy -- Thermodynamics of Substances -- Changes of State of Gases and Vapors -- Thermodynamic Processes -- Ideal Gas Mixtures -- Heat Transfer -- Tribology -- Tribology -- Design of Machine Elements -- Mechanical Drives -- Gearings -- Cylindrical Gearings -- Bevel Gearings -- Worm Gearings -- Design of Gear Wheels, Worm Wheels, and Worms -- Planetary Gears -- Wave Gears -- Shafts and Axles -- Shaft-Hub Connections -- Rolling Bearings -- Design of Bearing Units -- Appendix A -- Appendix B -- Manufacturing Engineering -- Casting -- Metal Forming -- Machining Processes -- Assembly, Disassembly, Joining Techniques -- Rapid Prototyping and Advanced Manufacturing -- Precision Machinery Using MEMS Technology -- Measuring and Quality Control -- Quality Management -- Manufacturing Measurement Technology -- Measuring Uncertainty and Traceability -- Inspection Planning -- Further Reading -- Engineering Design -- Design Theory -- Basics -- Precisely Defining the Task -- Conceptual Design -- Design -- Design and Manufacturing for the Environment -- Failure Mode and Effect Analysis for Capital Goods -- Piston Machines -- Foundations of Piston Machines -- Positive Displacement Pumps -- Compressors -- Internal Combustion Engines -- Pressure Vessels and Heat Exchangers -- Pressure Vessel -- General Design Concepts -- Design of Tall Towers -- Testing Requirement -- Design Codes for Pressure Vessels -- Heat Exchangers -- Material of Construction -- Turbomachinery -- Theory of Turbomachinery Stages -- Gas Turbine Engines: Design and Dynamic Performance -- Transport Systems -- Overview -- Automotive Engineering -- Railway Systems -- Railway Engineering -- Aerospace Engineering -- Construction Machinery -- Basics -- Earthmoving, Road Construction, and Farming Equipment -- Machinery for Concrete Works -- Site Lifts -- Access Machinery and Equipment -- Cranes -- Equipment for Finishing Work -- Automation and Robotics in Construction -- Enterprise Organization and Operation -- Overview -- Organizational Structures -- Process Organization, Capabilities, and Supply Networks -- Modeling and Data Structures -- Enterprise Resource Planning (ERP) -- Manufacturing Execution Systems (MES) -- Advanced Organization Concepts -- Interorganizational Structures -- Organization and Communication -- Enterprise Collaboration and Logistics -- Complementary Material for Mechanical Engineers -- Power Generation -- Principles of Energy Supply -- Primary Energies -- Fuels -- Transformation of Primary Energy into Useful Energy -- Various Energy Systems and Their Conversion -- Direct Combustion System -- Internal Combustion Engines -- Fuel Cells -- Nuclear Power Stations -- Combined Power Station -- Integrated Gasification Combined Cycle (IGCC) System -- Magnetohydrodynamic (MHD) Power Generation -- Total-Energy Systems for Heat and Power Generation -- Transformation of Regenerative Energies -- Solar Power Stations -- Heat Pump -- Energy Storage and Distribution -- Furnaces -- Fluidized-Bed Combustion System -- Liquid-Fuel Furnace -- Burners -- General Furnace Accessories -- Environmental Control Technology -- Steam Generators -- Parts and Components of Steam Generator -- Energy Balance Analysis of a Furnace/Combustion System -- Performance of Steam Generator -- Furnace Design -- Strength Calculations -- Heat Transfer Calculation -- Nuclear Reactors -- Future Prospects and Conclusion -- Electrical Engineering -- Fundamentals -- Transformers -- Rotating Electrical Machines -- Power Electronics -- Electric Drives -- Electric Power Transmission and Distribution -- Electric Heating.…”
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Pro Python Second edition. by Browning, J. Burton, Alchin, Marty

Contents: “…Using __all __ to Customize Imports -- Relative Imports -- The __import__() function -- The importlib module -- Taking It With You -- Chapter 3: Functions -- Arguments -- Planning for Flexibility -- Variable Positional Arguments -- Variable Keyword Arguments -- Combining Different Kinds of Arguments -- Invoking Functions with Variable Arguments -- Preloading Arguments -- Introspection -- Example: Identifying Argument Values -- Example: A More Concise Version -- Example: Validating Arguments -- Decorators -- Closures -- Wrappers -- Decorators with Arguments -- Decorators with-or without-Arguments -- Example: Memoization -- Example: A Decorator to Create Decorators -- Function Annotations -- Example: Type Safety -- Factoring Out the Boilerplate -- Example: Type Coercion -- Annotating with Decorators -- Example: Type Safety as a Decorator -- Generators -- Lambdas -- Introspection -- Identifying Object Types -- Modules and Packages -- Docstrings -- Taking It with You -- Chapter 4: Classes -- Inheritance -- Multiple Inheritance -- Method Resolution Order -- Example: C3 Algorithm -- Using super() to Pass Control to Other Classes -- Introspection -- How Classes Are Created -- Creating Classes at Runtime -- Metaclasses -- Example: Plugin Framework -- Controlling the Namespace -- Attributes -- Properties -- Descriptors -- Methods -- Unbound Methods -- Bound Methods -- Class Methods -- Static Methods -- Assigning Functions to Classes and Instances -- Magic Methods -- Creating Instances -- Example: Automatic Subclasses -- Dealing with Attributes -- String Representations -- Taking It With You -- Chapter 5: Common Protocols -- Basic Operations -- Mathematical Operations -- Bitwise Operations -- Variations -- Numbers -- Sign Operations -- Comparison Operations -- Iterables -- Example: Repeatable Generators -- Sequences -- Mappings -- Callables.…”
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Plant engineer's handbook by ScienceDirect (Online service)

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Aquatic habitat assessment : common methods

The data science handbook by Cady, Field, 1984-

Contents: “…-- 16.2 The Great Divide: Language versus Statistics -- 16.3 Example: Sentiment Analysis on Stock Market Articles -- 16.4 Software and Datasets -- 16.5 Tokenization -- 16.6 Central Concept: Bag-of-Words -- 16.7 Word Weighting: TF-IDF -- 16.8 n-Grams -- 16.9 Stop Words -- 16.10 Lemmatization and Stemming 16.11 Synonyms -- 16.12 Part of Speech Tagging -- 16.13 Common Problems -- 16.14 Advanced NLP: Syntax Trees, Knowledge, and Understanding -- 16.15 Further Reading -- 16.16 Glossary -- Chapter 17 Time Series Analysis -- 17.1 Example: Predicting Wikipedia Page Views -- 17.2 A Typical Workflow -- 17.3 Time Series versus Time-Stamped Events -- 17.4 Resampling an Interpolation -- 17.5 Smoothing Signals -- 17.6 Logarithms and Other Transformations -- 17.7 Trends and Periodicity -- 17.8 Windowing -- 17.9 Brainstorming Simple Features -- 17.10 Better Features: Time Series as Vectors -- 17.11 Fourier Analysis: Sometimes a Magic Bullet -- 17.12 Time Series in Context: The Whole Suite of Features -- 17.13 Further Reading -- 17.14 Glossary -- Chapter 18 Probability -- 18.1 Flipping Coins: Bernoulli Random Variables -- 18.2 Throwing Darts: Uniform Random Variables -- 18.3 The Uniform Distribution and Pseudorandom Numbers -- 18.4 Nondiscrete, Noncontinuous Random Variables -- 18.5 Notation, Expectations, and Standard Deviation -- 18.6 Dependence, Marginal and Conditional Probability -- 18.7 Understanding the Tails -- 18.8 Binomial Distribution -- 18.9 Poisson Distribution -- 18.10 Normal Distribution -- 18.11 Multivariate Gaussian -- 18.12 Exponential Distribution -- 18.13 Log-Normal Distribution -- 18.14 Entropy 18.15 Further Reading -- 18.16 Glossary -- Chapter 19 Statistics -- 19.1 Statistics in Perspective -- 19.2 Bayesian versus Frequentist: Practical Tradeoffs and Differing Philosophies -- 19.3 Hypothesis Testing: Key Idea and Example -- 19.4 Multiple Hypothesis Testing -- 19.5 Parameter Estimation -- 19.6 Hypothesis Testing: t-Test -- 19.7 Confidence Intervals -- 19.8 Bayesian Statistics -- 19.9 Naive Bayesian Statistics -- 19.10 Bayesian Networks -- 19.11 Choosing Priors: Maximum Entropy or Domain Knowledge -- 19.12 Further Reading -- 19.13 Glossary -- Chapter 20 Programming Language Concepts -- 20.1 Programming Paradigms -- 20.2 Compilation and Interpretation -- 20.3 Type Systems -- 20.4 Further Reading -- 20.5 Glossary -- Chapter 21 Performance and Computer Memory -- 21.1 Example Script -- 21.2 Algorithm Performance and Big-O Notation -- 21.3 Some Classic Problems: Sorting a List and Binary Search -- 21.4 Amortized Performance and Average Performance -- 21.5 Two Principles: Reducing Overhead and Managing Memory -- 21.6 Performance Tip: Use Numerical Libraries When Applicable -- 21.7 Performance Tip: Delete Large Structures You Don't Need -- 21.8 Performance Tip: Use Built-In Functions When Possible -- 21.9 Performance Tip: Avoid Superfluous Function Calls -- 21.10 Performance Tip: Avoid Creating Large New Objects -- 21.11 Further Reading -- 21.12 Glossary -- Part III Specialized or Advanced Topics -- Chapter 22 Computer Memory and Data Structures -- 22.1 Virtual Memory, the Stack, and the Heap -- 22.2 Example C Program -- 22.3 Data Types and Arrays in Memory -- 22.4 Structs -- 22.5 Pointers, the Stack, and the Heap -- 22.6 Key Data Structures -- 22.7 Further Reading -- 22.8 Glossary -- Chapter 23 Maximum Likelihood Estimation and Optimization -- 23.1 Maximum Likelihood Estimation -- 23.2 A Simple Example: Fitting a Line -- 23.3 Another Example: Logistic Regression -- 23.4 Optimization -- 23.5 Gradient Descent and Convex Optimization -- 23.6 Convex Optimization -- 23.7 Stochastic Gradient Descent -- 23.8 Further Reading -- 23.9 Glossary -- Chapter 24 Advanced Classifiers -- 24.1 A Note on Libraries -- 24.2 Basic Deep Learning -- 24.3 Convolutional Neural Networks -- 24.4 Different Types of Layers.…”
Prospector EBC - Click here for access

Handbook on business process management. 1, Introduction, methods and information systems Second edition. by SpringerLink (Online service)

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