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[null,"1.","Record Nr.",null,"UNINA9910874674103321"]
[null,null,"Autore",null,"Li Ruifeng"]
[null,null,"Titolo",null,"Advanced Welding Methods and Equipment / / by Ruifeng Li, Taotao Li"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819741090"]
[{"$nulls":4},"9789819741083"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (219 pages)"]
[null,null,"Disciplina",null,"671.52"]
[null,null,"Soggetti",null,"Production engineering"]
[{"$nulls":4},"Materials"]
[{"$nulls":4},"Manufactures"]
[{"$nulls":4},"Mechanical Process Engineering"]
[{"$nulls":4},"Materials Engineering"]
[{"$nulls":4},"Machines, Tools, Processes"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Laser welding -- Electron beam welding -- Friction stir welding -- Narrow gap welding -- Laser arc composite welding technology -- Underwater welding -- Cold metal transition welding -- Welding robots."]
[null,null,null,"Sommario/riassunto","This book helps graduate students master welding theory, advanced welding technology and welding practice. With the continuous development and deepening of welding technology and the rapid development of computer science, the content of \"Advanced Welding Methods\" has also been expanded. It is divided into seven chapters, including laser welding, electron beam welding, friction stir welding, narrow gap welding, laser-arc hybrid welding, underwater welding, and development of the traditional welding process. The compilation of this book combines theory and practice, focusing not only on teaching and training theoretical knowledge, but also on integrating cases and providing practical training. Advanced Welding Methods and Equipment is a highly theoretical and practical course, which is an important link to improve students' welding practice ability and innovation ability. It is of great help for students to learn and understand welding technology. This book is used as a textbook for graduate students of related majors, and also as a reference for welding technology developers and "]
[{"$nulls":4},"researchers of related colleges and universities."]
[null,"2.","Record Nr.",null,"UNINA9910817355103321"]
[null,null,"Autore",null,"Ibe Oliver C (Oliver Chukwudi), <1947->"]
[null,null,"Titolo",null,"Elements of random walk and diffusion processes / / Oliver C. Ibe"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : John Wiley & Sons, Inc., 2013"]
[null,null,"ISBN",null,"9781118617939"]
[{"$nulls":4},"1118617932"]
[{"$nulls":4},"9781118618059"]
[{"$nulls":4},"111861805X"]
[{"$nulls":4},"9781118629857"]
[{"$nulls":4},"111862985X"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (278 p.)"]
[null,null,"Collana",null,"Wiley series in operations research and management science"]
[null,null,"Classificazione",null,"MAT003000"]
[null,null,"Disciplina",null,"519.2/82"]
[null,null,"Soggetti",null,"Random walks (Mathematics)"]
[{"$nulls":4},"Diffusion processes"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Elements of Random Walk and Diffusion Processes; Copyright; Contents; Preface; Acknowledgments; 1 Review of Probability Theory; 1.1 Introduction; 1.2 Random Variables; 1.2.1 Distribution Functions; 1.2.2 Discrete Random Variables; 1.2.3 Continuous Random Variables; 1.2.4 Expectations; 1.2.5 Moments of Random Variables and the Variance; 1.3 Transform Methods; 1.3.1 The Characteristic Function; 1.3.2 Moment-Generating Property of the Characteristic Function; 1.3.3 The s-Transform; 1.3.4 Moment-Generating Property of the s-Transform; 1.3.5 The z-Transform"]
[{"$nulls":4},"1.3.6 Moment-Generating Property of the z-Transform1.4 Covariance and Correlation Coefficient; 1.5 Sums of Independent Random Variables; 1.6 Some Probability Distributions; 1.6.1 The Bernoulli Distribution; 1.6.2 The Binomial Distribution; 1.6.3 The Geometric Distribution; 1.6.4 The Poisson Distribution; 1.6.5 The Exponential Distribution; 1.6.6 Normal Distribution; 1.7 Limit Theorems; 1.7.1 Markov Inequality; 1.7.2 Chebyshev Inequality; 1.7.3 Laws of Large Numbers; 1.7.4 The Central Limit Theorem; Problems; 2 Overview of Stochastic Processes; 2.1 Introduction"]
[{"$nulls":4},"2.2 Classification of Stochastic Processes2.3 Mean and Autocorrelation Function; 2.4 Stationary Processes; 2.4.1 Strict-Sense Stationary Processes; 2.4.2 Wide-Sense Stationary Processes; 2.5 Power Spectral "]
[{"$nulls":4},"Density; 2.6 Counting Processes; 2.7 Independent Increment Processes; 2.8 Stationary Increment Process; 2.9 Poisson Processes; 2.9.1 Compound Poisson Process; 2.10 Markov Processes; 2.10.1 Discrete-Time Markov Chains; 2.10.2 State Transition Probability Matrix; 2.10.3 The k-Step State Transition Probability; 2.10.4 State Transition Diagrams; 2.10.5 Classification of States"]
[{"$nulls":4},"2.10.6 Limiting-State Probabilities2.10.7 Doubly Stochastic Matrix; 2.10.8 Continuous-Time Markov Chains; 2.10.9 Birth and Death Processes; 2.11 Gaussian Processes; 2.12 Martingales; 2.12.1 Stopping Times; Problems; 3 One-Dimensional Random Walk; 3.1 Introduction; 3.2 Occupancy Probability; 3.3 Random Walk as a Markov Chain; 3.4 Symmetric Random Walk as a Martingale; 3.5 Random Walk with Barriers; 3.6 Mean-Square Displacement; 3.7 Gambler's Ruin; 3.7.1 Ruin Probability; 3.7.2 Alternative Derivation of Ruin Probability; 3.7.3 Duration of a Game; 3.8 Random Walk with Stay"]
[{"$nulls":4},"3.9 First Return to the Origin3.10 First Passage Times for Symmetric Random Walk; 3.10.1 First Passage Time via the Generating Function; 3.10.2 First Passage Time via the Reflection Principle; 3.10.3 Hitting Time and the Reflection Principle; 3.11 The Ballot Problem and the Reflection Principle; 3.11.1 The Conditional Probability Method; 3.12 Returns to the Origin and the Arc-Sine Law; 3.13 Maximum of a Random Walk; 3.14 Two Symmetric Random Walkers; 3.15 Random Walk on a Graph; 3.15.1 Proximity Measures; 3.15.2 Directed Graphs; 3.15.3 Random Walk on an Undirected Graph"]
[{"$nulls":4},"3.15.4 Random Walk on a Weighted Graph"]
[null,null,null,"Sommario/riassunto","\"Featuring an introduction to stochastic calculus, this book uniquely blends diffusion equations and random walk theory and provides an interdisciplinary approach by including numerous practical examples and exercises with real-world applications in operations research, economics, engineering, and physics. It covers standard methods and applications of Brownian motion and discusses Levy motion; addresses fractional calculus; introduces percolation theory and its relationship to diffusion processes; and more\"--"]