“…This work can be very useful for undergraduate and graduate students in Mathematics as well as for researchers interested in the topics mentioned above…”

“…Using the language of mathematics to explain natural phenomena, the book includes numerous illustrative figures that help readers develop an…”

“…It offers a comprehensive look at the important area of high-frequency/high-power applications of microwave power devices, making it possible for general principles to be translated to specific applications. Supporting mathematics and extensive technical illustrations and schematic diagrams are included to clarify the material presented. …”

“…Current research is interdisciplinary in nature, reflecting a combination of concepts and methods that often span several areas of mechanics, mathematics, electrical engineering, control engineering, and other scientific disciplines. …”

Tabla de Contenidos: “…Machine generated contents note: Foreword Acknowledgments Preface Part I Overview Chapter 1 Women and the New Economy The New Economy: Opportunities for Women Women in Corporates and Finance Women in STEM (Science, Technology, Engineering, & Mathematics) Chapter 2 Mentoring and Sponsoring: The Keys to Success Mentoring and Sponsoring Women Employees Mentoring and Sponsoring Women Entrepreneurs Part II Voices of Women Business Leaders Chapter 3 Obstacles to Success and Solutions for Overcoming Them The Obstacles The Solutions Chapter 4 Role of Women in the Global Economy Interview with Irene Natividad, Founder and President of Global Summit of Women Chapter 5 Career Strategies for Women Interview with Professor Margaret Neale, Adams Distinguished Professor of Management at Stanford Graduate School of Business References Chapter 6 Inclusive Leadership Interview with Deborah Gillis, President & CEO of Catalyst Chapter 7 Improving the Place of Women in the Economy Interview with Audra Bohannon, Senior Partner at Korn Ferry's Leadership and Talent Consulting Chapter 8 Overcoming Women's Obstacles Interview with Christiane Bergevin, Executive Vice-President at Desjardins Group Chapter 9 Women's Spirit of Enterprise Interview with Valerie Bernis, Executive Vice President at ENGIE Part III Designing Mentoring and Sponsoring Programs Chapter 10 "Mentoring by ENGIE" Interview with Gerard Mestrallet, Chairman and Chief Executive Officer of ENGIE "Mentoring by ENGIE", A Structured Program to Train Women as Leaders Chapter 11 Oracle Women Leadership (OWL) Mentoring Program Interview with Leopoldo Boado, Chairman of Oracle Spain Oracle's Mentoring Program and Intercompany Experience Chapter 12 VivaWoman! …”

“…Joe Marasco has the scars and the smarts to articulate patterns of success that can satisfy a broad audience. He uses mathematics, physics, common sense, and storytelling along with a no-candy-coating style to provide unique perspectives on significant problems in delivering software results as a business. …”

“…With a rigorous, yet accessible, treatment of mathematics, the book focuses on results that can be used to…”

“…Hydraulics and Pneumatics is written by a practicing process control engineer as a guide to the successful operation of hydraulic and pneumatic systems for all engineers and technicians working with them. Keeping mathematics and theory to a minimum, this practical guide is thorough but accessible to technicians without a…”

“…To explore how communities around the United States are addressing workforce issues laid bare by the COVID-19 pandemic and how they are taking advantage of local opportunities to expand their science, technology, engineering, mathematics, and medicine (STEMM) workforces to position them for success going forward, the Board of Higher Education and Workforce of the National Academies of Sciences, Engineering, and Medicine convened a series of workshops to identify immediate and near-term regional STEMM workforce needs in the wake of the COVID-19 pandemic. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- Chapter 1 Reliability Indices of a Computer System with Priority and Server Failure -- 1.1 Introduction -- 1.2 Some Fundamentals -- 1.2.1 Reliability -- 1.2.2 Mean Time to System Failure (MTSF) -- 1.2.3 Steady State Availability -- 1.2.4 Redundancy -- 1.2.5 Semi-Markov Process -- 1.2.6 Regenerative Point Process -- 1.3 Notations and Abbreviations -- 1.4 Assumptions and State Descriptions -- 1.5 Reliability Measures -- 1.5.1 Transition Probabilities -- 1.5.2 MST -- 1.5.3 Reliability and MTCSF -- 1.5.4 Availability -- 1.5.5 Expected Number of Hardware Repairs -- 1.5.6 Expected Number of Software Upgradations -- 1.5.7 Expected Number of Treatments Given to the Server -- 1.5.8 Busy Period of Server Due to H/w Repair -- 1.5.9 Busy Period of Server Due to Software Upgradation -- 1.6 Profit Analysis -- 1.7 Particular Case -- 1.8 Graphical Presentation of Reliability Indices -- 1.9 Real-Life Application -- 1.10 Conclusion -- References -- Chapter 2 Mathematical Modeling and Availability Optimization of Turbine Using Genetic Algorithm -- 2.1 Introduction -- 2.2 System Description, Notations, and Assumptions -- 2.2.1 System Description -- 2.2.2 Notations -- 2.2.3 Assumptions -- 2.3 Mathematical Modeling of the System -- 2.4 Optimization -- 2.4.1 Genetic Algorithm -- 2.5 Results and Discussion -- 2.6 Conclusion -- References -- Chapter 3 Development of Laplacian Artificial Bee Colony Algorithm for Effective Harmonic Estimator Design -- 3.1 Introduction -- 3.2 Problem Formulation of Harmonics -- 3.3 Development of Laplacian Artificial Bee Colony Algorithm -- 3.3.1 Basic Concepts of ABC -- 3.3.2 The Proposed LABC Algorithm -- 3.4 Discussion -- 3.5 Numerical Validation of Proposed Variant -- 3.5.1 Comparative Analysis of LABC with Other Meta-Heuristics…”

Tabla de Contenidos: “…Intro -- Preface -- Organization -- Contents -- Mechanics -- Bayesian Inversion of a Non-linear Dynamic Model for Stockbridge Dampers -- 1 Introduction -- 2 Methodology -- 2.1 Experimental Test-Rig -- 2.2 Brief Description of the Predictive Deterministic Model -- 2.3 Brief Description of the Stochastic Approach -- 3 Casuistic Study and Results -- 4 Conclusions -- References -- Study and Optimization of a Numerical Algorithm for Hydrodynamic Lubrication Problems with Cavitation -- 1 Introduction -- 2 Methodology -- 2.1 Method of Characteristics -- 2.2 Bermúdez-Moreno Algorithm -- 2.3 Mass Conservation -- 3 Results -- 3.1 Model Validation -- 3.2 Convergence Study -- 3.3 Mass Conservation Study -- 4 Conclusions -- References -- Wake Interactions in an Asymmetric Binary Cylinder System in the Subcritical - Supercritical Regime -- 1 Introduction -- 2 Methodology -- 2.1 Water Tank -- 2.2 Wind Tunnel -- 3 Results -- 3.1 Single Cylinder -- 3.2 Binary System Wakes Measured in Water -- 3.3 Binary System Wakes Measured in Wind Tunnel -- 4 Conclusions -- References -- Contribution to Mathematical Modeling and Numerical Simulation of Welding Processes -- 1 Introduction -- 1.1 Welding Problem -- 2 Mathematical Modeling -- 2.1 Equations of Conservation of Mass and Momentum -- 2.2 Equation of Energy Conservation -- 3 Numerical Method -- 4 Results -- 5 Conclusions -- References -- Dimensionless Coefficients for Validation and Evaluation of a CFD Methodology Applied to a H-Darrieus Vertical Axis Wind Turbine -- 1 Introduction -- 2 Methodology -- 2.1 Computational Domain -- 2.2 Spatial Discretization -- 2.3 Modelling setup -- 3 Results and Discussion -- 4 Conclusions -- References -- Changes in Hardness and Volume of Polymers in Contact with Lubricants Used in Electric Vehicle Transmissions -- 1 Introduction -- 2 Materials y Methods -- 2.1 Materials…”

Tabla de Contenidos: “…Fitting a Model to Data -- Fundamental concepts: Finding "optimal" model parameters based on data; Choosing the goal for data mining; Objective functions; Loss functions -- Exemplary techniques: Linear regression; Logistic regression; Support-vector machines -- Classification via Mathematical Functions -- Linear Discriminant Functions -- Optimizing an Objective Function -- An Example of Mining a Linear Discriminant from Data -- Linear Discriminant Functions for Scoring and Ranking Instances -- Support Vector Machines, Briefly -- Regression via Mathematical Functions -- Class Probability Estimation and Logistic "Regression" -- Logistic Regression: Some Technical Details -- Example: Logistic Regression versus Tree Induction -- Nonlinear Functions, Support Vector Machines, and Neural Networks -- Summary -- 5. …”

Tabla de Contenidos: “…Front Cover -- Metaheuristic Optimization Algorithms -- Copyright Page -- Contents -- List of contributors -- 1 Particle swarm optimization algorithm: review and applications -- 1.1 Introduction -- 1.2 Particle swarm optimization -- 1.2.1 Standard particle swarm optimization -- 1.2.2 Particle swarm optimization algorithm -- 1.3 Related works -- 1.3.1 Neural networks -- 1.3.2 Feature selection -- 1.3.3 Data clustering -- 1.3.4 Mobile robots -- 1.4 Discussion -- 1.5 Conclusion -- References -- 2 Social spider optimization algorithm: survey and new applications -- 2.1 Introduction -- 2.2 Related work -- 2.2.1 Medical field -- 2.2.2 Engineering field -- 2.2.3 Mathematics field -- 2.2.4 Artificial intelligence field -- 2.2.5 Data science -- 2.3 Social spider optimization method -- 2.4 Experiment result -- 2.5 Discussion -- 2.6 Conclusion -- References -- 3 Animal migration optimization algorithm: novel optimizer, analysis, and applications -- 3.1 Introduction -- 3.2 Animal migration optimization algorithm procedure -- 3.3 Related works -- 3.3.1 Image processing -- 3.3.2 Data clustering -- 3.3.3 Data mining -- 3.3.4 Benchmark functions -- 3.3.5 Computer networks -- 3.3.6 Neural networks -- 3.3.7 Other applications -- 3.4 Discussion -- 3.5 Conclusion -- References -- 4 A Survey of cuckoo search algorithm: optimizer and new applications -- 4.1 Introduction -- 4.2 Cuckoo search algorithm -- 4.2.1 Cuckoo rearing conduct -- 4.2.2 Lévy trips in nature -- 4.3 Related works -- 4.4 Method -- 4.5 Discussion -- 4.6 Advanced work -- 4.7 Conclusion -- References -- 5 Teaching-learning-based optimization algorithm: analysis study and its application -- 5.1 Introduction -- 5.2 Teaching-learning-based optimization -- 5.2.1 Teacher section -- 5.2.2 Learner section -- 5.3 Literature review -- 5.3.1 Optimization problem -- 5.3.2 Technoeconomic analysis…”

Tabla de Contenidos: “…-- 1.2 History and Evolution of the Field -- 1.3 Reliability Modeling Approaches -- 1.3.1 Physics of Failure Approach -- 1.3.1.1 Performance-Requirement Model -- 1.3.1.2 Stress-Strength Model -- 1.3.1.3 Damage-Endurance Model -- 1.3.2 Failure Agents -- 1.4 Definitions -- 1.4.1 Reliability -- 1.4.2 Risk -- 1.4.3 Availability and Maintainability -- 1.4.4 Failure Modes and Failure Mechanisms -- 1.5 Systems, Functions, and Failure -- 1.5.1 Failure Modes and Mechanisms for Mechanical Equipment -- 1.5.2 Failure Modes and Mechanisms for Electrical Equipment -- 1.5.3 Human Functions, Failure, and Reliability -- 1.6 Putting It All Together: Risk Assessment Modeling -- 1.7 Exercises -- References -- Chapter 2 Basic Reliability Mathematics: Probability -- 2.1 Introduction -- 2.2 Events and Random Variables Used in Reliability -- 2.3 Sets and Boolean Algebra -- 2.4 Probability Terminology and Interpretations -- 2.4.1 Classical Interpretation of Probability (Equally Likely Concept, or Sample Space Partitioning) -- 2.4.2 Frequency Interpretation of Probability -- 2.4.3 Subjective Interpretation of Probability (Bayesian Probability -- Evidential Probability) -- 2.5 Laws and Mathematics of Probability -- 2.5.1 Definitions -- 2.5.2 Axioms of Probability and Their Implications -- 2.5.3 Mathematics of Probability -- 2.6 Probability Distribution Basics -- 2.6.1 Probability Distributions Defined -- 2.6.2 Distribution Properties -- 2.6.2.1 Central Tendency -- 2.6.2.2 Dispersion, Shape, and Spread -- 2.6.2.3 Covariance and Correlation -- 2.6.2.4 Algebra of Expectations -- 2.7 Probability Distributions Used in Reliability…”

Tabla de Contenidos: “…Chapter Eight The Jesuits and the Janus-Faced History of Natural Sciences8.1 Father Clavius's Complaints: Mathematics in the Jesuit Curriculum; 8.2 The Unity of Human Episteme; 8.3 Experiments with the Philosophy Course: Melchior Cornaeus S.J.; 8.4 The Story of Science; Chapter Nine Benedictus Pererius:Renaissance Culture at the Origins of Jesuit Science; 9.1 Pererius and Averroes; 9.2 Pererius and Renaissance Philosophy; 9.3 The Role of Metaphysics within Philosophy; 9.4 Concessions to Platonism; 9.5 History of Philosophy against the Myth of Ancient Wisdom; 9.6 Against Alchemy and Kabbalah…”
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Tabla de Contenidos: “…A Matter of Risk; The Premium; Summary; The Mathematics of the Opportunity Cost of Capital; How Do I Calculate the Opportunity Cost of Capital for the Investment My Company is Considering?…”

Tabla de Contenidos: “…; Using Functions; Using Functions to Convert Data from One Type to Another; Using Functions to Manipulate Strings; Using VBA's Mathematical Functions; Using VBA's Date and Time Functions; Using File-Management Functions; The Bottom Line; Chapter 10: Creating Your Own Functions; Components of a Function; Creating a Function…”

Tabla de Contenidos: “…Chapter 31 Human Space FlightPart 6 Performance Modeling; Chapter 32 Modeling Human Performance in Complex Systems; Chapter 33 Mathematical Models in Engineering Psychology: Optimizing Performance; Chapter 34 Human Supervisory Control; Chapter 35 Human Digital Modeling in Design; Chapter 36 Virtual Environments; Chapter 37 Neuroergonomics in Human--System Interaction; Part 7 Evaluation; Chapter 38 Accident and Incident Investigation; Chapter 39 Human Factors and Ergonomics Audits; Chapter 40 Cost/Benefit Analysis for Human Systems Investments; Chapter 41 Methods of Evaluating Outcomes…”