Flowchart and algorithm basics : the art of programming / / A. B. Chaudhuri

• Record Nr.: UNINA9910794236303321
• Autore: Chaudhuri A. B.
• Pubbl/distr/stampa: Dulles, Virginia : , : Mercury Learning and Information, , [2020]; ©2020
• ISBN: 1-68392-535-1
• Descrizione fisica: 1 online resource (194 pages) : illustrations
• Disciplina: 005.13
• Soggetti: Flow charts; Computer programming; Computer algorithms
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Introduction to programming -- Problems involving selection -- Problems involving looping -- Problems involving arrays -- The art of file processing.

Location science

• Record Nr.: UNINA9910147032203321
• Pubbl/distr/stampa: Oxford ; ; New York, : Pergamon Press, c1993-c1999
• ISSN: 1879-0437
• Descrizione fisica: 1 online resource
• Soggetti: Industrial location - Mathematical models; Buildings - Location - Mathematical models; Industrial location - Mathematical models - Periodicals; Buildings - Location - Mathematical models - Periodicals; Industrie - Localisation - Modèles mathématiques - Périodiques; Constructions - Localisation - Modèles mathématiques - Périodiques; Constructions - Localisation - Modèles mathématiques; Standorttheorie; Mathematisches Modell; Zeitschrift; Online-Ressource; Periodicals.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Periodico
• Note generali: Title from cover.

Creating software with modern diagramming techniques : build better software with Mermaid / / Ashley Peacock

• Record Nr.: UNINA9911046596203321
• Autore: Peacock Ashley
• Pubbl/distr/stampa: Raleigh, North Carolina : , : The Pragmatic Bookshelf, , [2023]; ©2023
• ISBN: 9798888650226; 9781680509830
• Edizione: [First edition.]
• Descrizione fisica: 1 online resource (149 pages)
• Collana: Pragmatic exPress; Pragmatic programmers
• Disciplina: 658.4
• Soggetti: Flow charts; JavaScript (Computer program language)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Cover -- Table of Contents -- Acknowledgments -- Preface -- Who Should Read This Book? -- What's in This Book? -- What's Not in This Book? -- How to Read This Book -- Online Resources -- Introduction -- Diagramming Techniques -- Diagramming Tools -- Creating Diagrams -- Using the Command Line -- 1. Document Your Domain -- Determine the Important Entities -- Document Our First Relationship -- Define Associations -- Define Composite Relationships -- Define Aggregate Relationships -- Decide Between Association, Aggregation, and Composition -- Document Your Own Domain -- What You've Learned -- 2. Enhance Your Domain Model -- Define Inheritance -- Describe Relationships -- Add Multiplicity -- Add a Title -- Improve Readability -- Enrich Nodes with Links -- Enhance Your Domain Model -- What You've Learned -- 3. Visualize Application and User Flows -- Define Actors and Participants -- Add Our First Interaction -- Show Branching Logic -- Display Asynchronous Messages -- Display Length of Interactions with Activations -- Add Additional Information with Notes -- Annotate Your Diagram with Sequence Numbers -- Create Dropdown Menus -- Visualize Your Own Application Flow -- What You've Learned -- 4. Model Your Architecture -- Using the C4 Model -- ; Creating a System Context Diagram -- Add Nodes -- Connect Nodes -- Add Some Style -- Create Your Own System Context Diagram -- What You've Learned -- 5. Detail Your System's Containers -- Define the First Two Containers -- Create Clear Boundaries with Subgraphs -- Add Supporting Systems -- Improve Readability with Link Lengths -- Display Asynchronous Interactions -- Additional Arrow Types -- Create Your Own Container Diagram -- What You've Learned -- 6. Structure Your Components and Code -- Code Diagram -- Leverage Flowcharts for Complex Flows -- What You've Learned -- 7. Design Database Schemas.; Use Entity Relationship Diagrams -- Define Our First Entity -- Relate Entities -- Add Zero-to-Many Relationships -- Enrich Schemas with Keys -- Comment Your Columns -- Define Zero-or-One Relationships -- Describe Non-identifying Relationships -- Finalize Streamy's ERD -- Design Your Database Schema -- What You've Learned -- 8. Visualize Code Flows -- Use Sequence Diagrams to Understand Class Interactions -- Define Loops -- Show Parallel Processes -- What You've Learned -- 9. Design and Refactor Your Applications -- Define Classes -- Show Dependencies with Relationships -- Refactor the Classes -- Introduce a Request Class -- Define Interfaces -- Create a Class Diagram -- What You've Learned -- 10. Render Diagrams Using Native Support -- Leverage Native Mermaid Integrations -- Render Mermaid Within Markdown Files -- Where Should You Include Diagrams? -- What About Websites Without Native Support? -- Keep Diagrams Up-to-Date -- Render a Diagram on GitHub -- What You've Learned -- 11. Create a Static Site with Mermaid Diagrams -- Devise a Plan of Action -- Learn the Basics of a GitHub Action -- Start by Defining the Events That Trigger the Action -- Check Out the Repository's Code -- Convert Mermaid Markup to SVGs in Markdown -- Build Jekyll Artifacts -- Deploy to GitHub Pages -- Run the Action -- Render Diagrams on Page Load -- What You've Learned -- 12. What You've Learned -- Bibliography.
• Sommario/riassunto: Diagrams communicate relationships more directly and clearly than words ever can. Using only text-based markup, create meaningful and attractive diagrams to document your domain, visualize user flows, reveal system architecture at any desired level, or refactor your code. With the tools and techniques this book will give you, you'll create a wide variety of diagrams in minutes, share them with others, and revise and update them immediately on the basis of feedback. Adding diagrams to your professional vocabulary will enable you to work through your ideas quickly when working on your own code or discussing a proposal with colleagues. Expand your professional vocabulary by learning to communicate with diagrams as easily and naturally as speaking or writing. This book will provide you with the skills and tools to turn ideas into clear, meaningful, and attractive diagrams in mere minutes, using nothing more complicated than text-based markup. You'll learn what kinds of diagrams are suited to each of a variety of use cases, from documenting your domain to understanding how complex code pieces together. Model your software's architecture, creating diagrams focused broadly or narrowly, depending on the audience. Visualize application and user flows, design database schemas, and use diagrams iteratively to design and refactor your application. You'll be able to use technical diagramming to improve your day-to-day workflow. You will better understand the codebase you work in, communicate ideas more effectively and immediately with others, and more clearly document the architecture with C4 diagrams. Manually creating diagrams is cumbersome and time-consuming. You'll learn how to use text-based tools like Mermaid ; to rapidly turn ideas into diagrams. And You'll learn how to keep your diagrams up to date and seamlessly integrated into your engineering workflow. You'll be better at visualizing and communicating when you add diagrams to your standard vocabulary.

Data analytics : handbook of formulas and techniques / / Adedeji Badiru

• Record Nr.: UNINA9910967017803321
• Autore: Badiru Adedeji Bodunde <1952->
• Pubbl/distr/stampa: Boca Raton : , : CRC Press, , 2020
• ISBN: 1-00-308314-5; 1-003-08314-5; 1-000-29733-0; 1-000-29735-7
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (273 pages) : illustrations
• Collana: Systems innovation
• Disciplina: 001.42
• Soggetti: Quantitative research; Information visualization; Engineering mathematics - Formulae
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Author -- Chapter 1 Essentials of Data Analytics -- Introduction to COVID-19 Data Analytics -- Systems View of Data Analytics -- Global Growth of Data Analytics -- Background in Predictive Analytics -- Data Modeling Approaches -- Data Fanaticism -- Data and Measurements for Data Analytics -- What is Measurement? -- Data Measurement Systems -- Fundamental Scientific Equations -- Einstein's Equation -- Einstein's Field Equation -- Heisenberg's Uncertainty Principle -- Schrödinger Equation -- Dirac Equation -- Maxwell's Equations -- Boltzmann's Equation for Entropy -- Planck-Einstein Equation -- Planck's Blackbody Radiation Formula -- Hawking Equation for Black ; Hole Temperature -- Navier-Stokes Equation for a Fluid -- Lagrangian for Quantum Chromodynamics -- Bardeen-Cooper-Schrieffer Equation for Superconductivity -- Josephson Effect -- Fermat's Last Theorem -- Methods for Data Measurement and Comparison -- Direct Comparison -- Indirect Comparison -- Data Measurement Scales -- Nominal Scale of Measurement -- Ordinal Scale of Measurement -- Interval Scale of Measurement -- Ratio Scale Measurement -- Reference Units of Measurements -- Common Constants -- Numeric Data Representation -- The Language of Data Analytics -- Quick Reference for Mathematical Equations -- Reference -- Chapter 2 Empirical Model Building -- Introduction to the Model Environment -- State-Space Modeling -- Calculus Reference for Data Analytics -- Integration Rules -- Solving Integrals with Variable Substitution -- Riemann Integral -- Integration by Parts -- Compound Functions Where the Inner Function is ax -- Integration by Parts -- Systems Modeling for Data Analytics -- Triple C Questions -- Communication -- Cooperation -- Coordination.; Conflict Resolution in Data Analytics -- References -- Chapter 3 Data Visualization Methods -- Introduction to Data Visualization -- Case Example of "Covidvisualizer" Website -- Dynamism and Volatility of Data -- Data Determination and Collection -- Choosing the Data -- Collecting the Data -- Relevance Check -- Limit Check -- Critical Value -- Coding the Data -- Processing the Data -- Control Total -- Consistency Check -- Scales of Measurement -- Using the Information -- Data Exploitation -- Raw Data -- Total Revenue -- Average Revenue -- Median Revenue -- Quartiles and Percentiles -- The Mode -- Range of Revenue -- Average Deviation -- Sample Variance -- Standard Deviation -- Chapter 4 Basic Mathematical Calculations for Data Analytics -- Introduction to Calculation for Data Analytics -- Quadratic Equation -- Overall Mean -- Chebyshev's Theorem -- Permutations -- Combinations -- Failure -- Probability Distribution -- Probability -- Distribution Function -- Expected Value -- Variance -- Binomial Distribution -- Poisson Distribution -- Mean of a Binomial Distribution -- Variance -- Normal Distribution -- Cumulative Distribution Function -- Population Mean -- Standard Error of the Mean -- t-Distribution -- Chi-Squared Distribution -- Definition of Set and Notation -- Set Terms and Symbols -- Venn Diagrams -- Operations on Sets -- De Morgan's Laws -- Probability Terminology -- Basic Probability Principles -- Random Variable -- Mean Value xˆ or Expected Value -- Series Expansions -- Mathematical Signs and Symbols -- Greek Alphabet -- Algebra -- Laws of Algebraic Operations -- Special Products and Factors -- Powers and Roots -- Proportion -- Arithmetic Mean of n Quantities A -- Geometric Mean of n Quantities G -- Harmonic Mean of n Quantities H -- Generalized Mean -- Solution of Quadratic Equations -- Solution of Cubic Equations.; Trigonometric Solution of the Cubic Equation -- Solution of Quadratic Equations -- Partial Fractions -- Non-repeated Linear Factors -- Repeated Linear Factors -- General Terms -- Repeated Linear Factors -- Factors of Higher Degree -- Geometry -- Triangles -- Right Triangle -- Equilateral Triangle -- General Triangle -- Menelaus's Theorem -- Ceva's Theorem -- Quadrilaterals -- Rectangle -- Parallelogram -- Rhombus -- Trapezoid -- General Quadrilateral -- Regular Polygon of n Sides Each of Length b -- Regular Polygon of n Sides Inscribed in a Circle of Radius r -- Regular Polygon of n Sides Circumscribing a Circle of Radius r -- Cyclic Quadrilateral -- Prolemy's Theorem -- Cyclic-Inscriptable Quadrilateral -- Planar Areas by Approximation -- Trapezoidal Rule -- Durand's Rule -- Simpson's Rule (n even) -- Weddle's Rule (n = 6) -- Solids Bounded by Planes -- Cube -- Rectangular Parallelepiped (or Box) -- Prism -- Pyramid -- Prismatoid ; -- Regular Polyhedra -- Sphere of Radius r -- Right Circular Cylinder of Radius r and Height h -- Circular Cylinder of Radius r and Slant Height l -- Cylinder of Cross-Sectional Area A and Slant Height l -- Right Circular Cone of Radius r and Height h -- Spherical Cap of Radius rand Height h -- Frustum of Right Circular Cone of Radii a, b and Height h -- Zone and Segment of Two Bases -- Lune -- Spherical Sector -- Spherical Triangle and Polygon -- Spheroids -- Ellipsoid -- Oblate Spheroid -- Prolate Spheroid -- Circular Torus -- Formulas from Plane Analytic Geometry -- Distance d between Two Points -- Slope m of Line Joining Two Points -- Equation of Line Joining Two Points -- Equation of Line in Terms of x Intercept a ≠ 0 and y intercept b ≠ 0 -- Normal Form for Equation of Line -- General Equation of Line -- Distance from Point (x[sub(1)], y[sub(1)]) to Line Ax + By + C = 0.; Angle ψ between Two Lines Having Slopes m[sub(1)] and m[sub(2)] -- Area of Triangle with Verticles -- Transformation of Coordinates Involving Pure Translation -- Transformation of Coordinates Involving Pure Rotation -- Transformation of Coordinates Involving Translation and Rotation -- Polar Coordinates (r,θ) -- Plane Curves -- Catenary, Hyperbolic Cosine -- Cardioid -- Circle -- Cassinian Curves -- Cotangent Curve -- Cubical Parabola -- Cosecant Curve -- Cosine Curve -- Ellipse -- Gamma Function -- Hyperbolic Functions -- Inverse Cosine Curve -- Inverse Sine Curve -- Inverse Tangent Curve -- Logarithmic Curve -- Parabola -- Cubical Parabola -- Tangent Curve -- Ellipsoid -- Elliptic Cone -- Elliptic Cylinder -- Hyperboloid of One Sheet -- Elliptic Paraboloid -- Hyperboloid of Two Sheets -- Hyperbolic Paraboloid -- Sphere -- Distance d between Two Points -- Equations of Line Joining P[sub(1)](x[sub(1)], y[sub(1)], z[sub(1)]) and P[sub(2)](x[sub(2)], y[sub(2)], z[sub(2)]) in Standard Form -- Equations of Line Joining P[sub(1)](x[sub(1)], y[sub(1)],z[sub(1)]) and P[sub(2)](x[sub(2)], y[sub(2)], z[sub(2)]) in Parametric Form -- Angle between Two Lines with Direction Cosines -- General Equation of a Plane -- Equation of Plane Passing through Points -- Equation of Plane in Intercept Form -- Equations of Line through (x[sub(0)], y[sub(0)], z[sub(0)]) and Perpendicular to Plane -- Distance from Point (x, y, z) to Plane Ax + By + D= 0 -- Normal form for Equation of Plane -- Transformation of Coordinates Involving Pure Translation -- Transformation of Coordinates Involving Pure Rotation -- Transformation of Coordinates Involving Translation and Rotation -- Cylindrical Coordinates (r, θ, z) -- Spherical Coordinates (r, θ, φ) -- Logarithmic Identities -- Special Values -- Logarithms to General Base -- Series Expansions -- Limiting Values -- Inequalities.; Continued Fractions -- Polynomial Approximations -- Fundamental Properties -- Definition of General Powers -- Logarithmic and Exponential Functions -- Polynomial Approximations -- Slopes -- Trigonometric Ratios -- Sine Law -- Cosine Law -- Algebra -- Expanding -- Factoring -- Roots of Quadratic -- Law of Exponents -- Logarithms -- Chapter 5 Statistical Methods for Data Analytics -- Introduction -- Discrete Distributions -- Bernoulli Distribution -- Beta Binomial Distribution -- Beta Pascal Distribution -- Binomial Distribution -- Discrete Weibull Distribution -- Geometric Distribution -- Hypergeometric Distribution -- Negative Binomial Distribution -- Poisson Distribution -- Rectangular (Discrete Uniform) Distribution -- Continuous Distributions -- Arcsin Distribution -- Beta Distribution -- Cauchy Distribution -- Chi Distribution -- Chi-Square Distribution -- Erlang Distribution -- Exponential Distribution -- Extreme-Value Distribution -- F Distribution -- Gamma Distribution -- Half-Normal Distribution -- Laplace (Double Exponential) Distribution -- Logistic Distribution -- Lognormal Distribution -- Noncentral Chi-Square ; Distribution -- Noncentral F Distribution -- Noncentral t Distribution -- Normal Distribution -- Pareto Distribution -- Rayleigh Distribution -- t Distribution -- Triangular Distribution -- Uniform Distribution -- Weibull Distribution -- Distribution Parameters -- Average -- Variance -- Standard Deviation -- Standard Error -- Skewness -- Standardized Skewness -- Kurtosis -- Standardized Kurtosis -- Weighted Average -- Estimation and Testing -- 100(1 − α)% Confidence Interval for Mean -- 100(1 − α)% Confidence Interval for Variance -- 100(1 − α)% Confidence Interval for Difference in Means -- Equal Variance -- Unequal Variance -- 100(1 − α)% Confidence Interval for ratio of variances -- Normal Probability Plot.; Comparison of Poisson Rates.
• Sommario/riassunto: Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

Older people in emergencies : considerations for action and policy development / / David Hutton

• Record Nr.: UNINA9910963565803321
• Autore: Hutton David
• Pubbl/distr/stampa: Geneva, : World Health Organization, c2008
• ISBN: 1-282-05805-3; 9786612058059; 92-4-068308-9
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (44 pages) : illustrations
• Disciplina: 363.340994
• Soggetti: Disaster relief; Emergency management; Older people - Services for; Emergency medical services; Natural disasters; Medical policy; Health Services for the Aged; Emergency Medical Services; Natural Disasters; Vulnerable Populations; Health Policy; Relief Work
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "Ageing and Life Course (ALC), Family and Community Health (FCH), Emergency Preparedness and Capacity Building (EPC), Health Action in Crisis (HAC)."
• Nota di bibliografia: Includes bibliographical references (p. 43-44).
• Nota di contenuto: Cover; Copyright; Title; Contents; Introduction; Vulnerability and health in emergencies; Economic marginalization; Social disintegration and marginalization; The issue of gender; Capacity and consultation; Policy and programme implications; Preparedness phase; Emergency response and operations phase; Recovery and transition phase; References
• Sommario/riassunto: Older people have often been overlooked in disasters and conflicts, and their concerns have rarely been addressed by emergency programs or ; planners. This analysis seeks to highlight factors that particularly affect older people in emergencies, especially health-related concerns, propose a strategy to raise awareness about older people in emergencies and recommend policies and practices to address these considerations. Until recently, older people s needs in disasters and conflicts were addressed only by broader adult health and humanitarian programs. This has changed as several recent emergenc

Education and the market place / / edited by David Bridges and Terence H. McLaughlin

• Record Nr.: UNINA9910974281403321
• Pubbl/distr/stampa: London ; ; Washington, D.C., : Falmer Press, 1994
• ISBN: 1-135-71975-6; 1-135-71976-4; 1-280-14389-4; 0-203-97543-X
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (186 pages)
• Altri autori (Persone): BridgesDavid <1941->; McLaughlinTerence <1922->
• Disciplina: 379.41
• Soggetti: Education and state - England; Education and state - Wales; Education - Economic aspects - England; Education - Economic aspects - Wales; Education - England - Finance; Education - Wales - Finance; School choice - England; School choice - Wales
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Preliminaries; Contents; Chapter 1 Education and the Market Place: An Introduction; Chapter 2 Schooling, Markets and Public Agency 1833-; 1944; Chapter 3 Local Education Authorities and the Market Place; Chapter 4 In Defence of the Educational Voucher; Chapter 5 Diversity in State Education: The Grant Maintained Option; Chapter 6 Managing the Market; Chapter 7 Parents: Customers or Partners?; Chapter 8 Business Sponsorship in Schools: A Changing Climate; Chapter 9 Pied Piper Revisited; Chapter 10 Markets, Values and Education; Chapter 11 Education and the Limits of the Market; Chapter 12 Education is a Public Good; Chapter 13 In Defence of Markets in Educational Provision; Chapter 14 Politics, Markets and Schools: The Central Issues; Notes on Contributors; Index
• Sommario/riassunto: This collection of essays debates the application of market principles to and within the context of education. Throughout, the educational and public policy issues raised by the application of market principles to education are closely examined.