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Books > Science & Mathematics > Mathematics > Optimization > General

Mathematical Modelling in Real Life Problems - Case Studies from ECMI-Modelling Weeks (Hardcover, 1st ed. 2020): Ewald Lindner,... Mathematical Modelling in Real Life Problems - Case Studies from ECMI-Modelling Weeks (Hardcover, 1st ed. 2020)
Ewald Lindner, Alessandra Micheletti, Claudia Nunes
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

This book is intended to be a useful contribution for the modern teaching of applied mathematics, educating Industrial Mathematicians that will meet the growing demand for such experts. It covers many applications where mathematics play a fundamental role, from biology, telecommunications, medicine, physics, finance and industry. It is presented in such a way that can be useful in Modelation, Simulation and Optimization courses, targeting master and PhD students. Its content is based on many editions from the successful series of Modelling Weeks organized by the European Consortium of Mathematics in Industry (ECMI). Each chapter addresses a particular problem, and is written in a didactic way, providing the description of the problem, the particular way of approaching it and the proposed solution, along with the results obtained.

Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021): Timm Faulwasser,... Recent Advances in Model Predictive Control - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021)
Timm Faulwasser, Matthias A. Muller, Karl Worthmann
R3,384 Discovery Miles 33 840 Ships in 10 - 15 working days

This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.

Radar Waveform Design based on Optimization Theory (Hardcover): Guolong Cui, Antonio Maio, Alfonso Farina, Jian Li Radar Waveform Design based on Optimization Theory (Hardcover)
Guolong Cui, Antonio Maio, Alfonso Farina, Jian Li
R3,635 R3,278 Discovery Miles 32 780 Save R357 (10%) Ships in 10 - 15 working days

This book provides an overview of radar waveform synthesis obtained as the result of computational optimization processes and covers the most challenging application fields. The book balances a practical point of view with a rigorous mathematical approach corroborated with a wealth of numerical study cases and some real experiments. Additionally, the book has a cross-disciplinary approach because it exploits cross-fertilization with the recent research and discoveries in optimization theory. The material of the book is organized into ten chapters, each one completed with a comprehensive list of references. The following topics are covered: recent advances of binary sequence designs and their applications; quadratic optimization for unimodular sequence synthesis and applications; a computational design of phase-only (possibly binary) sequences for radar systems; constrained radar code design for spectrally congested environments via quadratic optimization; robust transmit code and receive filter design for extended targets detection in clutter; optimizing radar transceiver for Doppler processing via non-convex programming; radar waveform design via the majorization-minimization framework; Lagrange programming neural network for radar waveform design; cognitive local ambiguity function shaping with spectral coexistence and experiments; and relative entropy based waveform design for MIMO radar. Targeted at an audience of radar engineers and researchers, this book provides thorough and up-to-date coverage of optimisation theory for radar waveform design.

Matheuristics - Algorithms and Implementations (Hardcover, 1st ed. 2021): Vittorio Maniezzo, Marco Antonio Boschetti, Thomas... Matheuristics - Algorithms and Implementations (Hardcover, 1st ed. 2021)
Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stutzle
R3,208 Discovery Miles 32 080 Ships in 12 - 19 working days

This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.

Probabilistic Reliability Analysis of Power Systems - A Student's Introduction (Hardcover, 1st ed. 2020): Bart W. Tuinema,... Probabilistic Reliability Analysis of Power Systems - A Student's Introduction (Hardcover, 1st ed. 2020)
Bart W. Tuinema, Jose L. Rueda Torres, Alexandru I. Stefanov, Francisco M. Gonzalez-Longatt, Mart A.M.M. van der Meijden
R2,919 Discovery Miles 29 190 Ships in 10 - 15 working days

This textbook provides an introduction to probabilistic reliability analysis of power systems. It discusses a range of probabilistic methods used in reliability modelling of power system components, small systems and large systems. It also presents the benefits of probabilistic methods for modelling renewable energy sources. The textbook describes real-life studies, discussing practical examples and providing interesting problems, teaching students the methods in a thorough and hands-on way. The textbook has chapters dedicated to reliability models for components (reliability functions, component life cycle, two-state Markov model, stress-strength model), small systems (reliability networks, Markov models, fault/event tree analysis) and large systems (generation adequacy, state enumeration, Monte-Carlo simulation). Moreover, it contains chapters about probabilistic optimal power flow, the reliability of underground cables and cyber-physical power systems. After reading this book, engineering students will be able to apply various methods to model the reliability of power system components, smaller and larger systems. The textbook will be accessible to power engineering students, as well as students from mathematics, computer science, physics, mechanical engineering, policy & management, and will allow them to apply reliability analysis methods to their own areas of expertise.

Python Programming - The Easiest Python Crash Course to go Deep Through the Main Application as Web Development, Data Analysis... Python Programming - The Easiest Python Crash Course to go Deep Through the Main Application as Web Development, Data Analysis and Data Science Including Machine Learning (Hardcover)
Alan Grid
R746 Discovery Miles 7 460 Ships in 12 - 19 working days
Flexible and Generalized Uncertainty Optimization - Theory and Approaches (Hardcover, 2nd ed. 2021): Weldon A Lodwick, Luiz L.... Flexible and Generalized Uncertainty Optimization - Theory and Approaches (Hardcover, 2nd ed. 2021)
Weldon A Lodwick, Luiz L. Salles-Neto
R2,632 Discovery Miles 26 320 Ships in 10 - 15 working days

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers uncertainties that are both associated with lack of information and are more general than stochastic theory, where well-defined distributions are assumed. Starting from families of distributions that are enclosed by upper and lower functions, the book presents construction methods for obtaining flexible and generalized uncertainty input data that can be used in a flexible and generalized uncertainty optimization model. It then describes the development of the associated optimization model in detail. Written for graduate students and professionals in the broad field of optimization and operations research, this second edition has been revised and extended to include more worked examples and a section on interval multi-objective mini-max regret theory along with its solution method.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications (Hardcover, 1st ed. 2021): Serdar Carbas,... Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications (Hardcover, 1st ed. 2021)
Serdar Carbas, Abdurrahim Toktas, Deniz Ustun
R5,633 Discovery Miles 56 330 Ships in 12 - 19 working days

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Stream-Tube Method - A Complex-Fluid Dynamics and Computational Approach (Hardcover, 1st ed. 2021): Jean-Robert Clermont, Amine... Stream-Tube Method - A Complex-Fluid Dynamics and Computational Approach (Hardcover, 1st ed. 2021)
Jean-Robert Clermont, Amine Ammar
R5,276 Discovery Miles 52 760 Ships in 12 - 19 working days

This book presents the stream-tube method (STM), a method offering computational means of dealing with the two- and three-dimensional properties of numerous incompressible materials in static and dynamic conditions. The authors show that the kinematics and stresses associated with the flow and deformation in such materials can be treated by breaking the system down into simple computational sub-domains in which streamlines are straight and parallel and using one or two mapping functions in steady-state and non-steady-state conditions. The STM is considered for various problems in non-Newtonian fluid mechanics with different geometries. The book makes use of examples and applications to illustrate the use of the STM. It explores the possibilities of computation on simple mapped rectangular domains and three-dimensional parallel-piped domains under different conditions. Complex materials with memory are considered simply without particle tracking problems. Readers, including researchers, engineers and graduate students, with a foundational knowledge of calculus, linear algebra, differential equations and fluid mechanics will benefit most greatly from this book.

Air Traffic Management and Systems IV - Selected Papers of the 6th ENRI International Workshop on ATM/CNS (EIWAC2019)... Air Traffic Management and Systems IV - Selected Papers of the 6th ENRI International Workshop on ATM/CNS (EIWAC2019) (Hardcover, 1st ed. 2021)
Electronic Navigation Research Institute
R7,103 Discovery Miles 71 030 Ships in 10 - 15 working days

This book provides novel concepts and techniques for air traffic management (ATM) and communications, navigation, and surveillance (CNS) systems. The book consists of selected papers from the 6th ENRI International Workshop on ATM/CNS (EIWAC2019) held in Tokyo in October 2019, the theme of which was "Exploring Ideas for World Aviation Challenges". Included are key topics to realize safer and more efficient skies in the future, linked to the integrated conference theme consisting of long-term visions based on presentations from various fields. The book is dedicated not only to researchers, academicians, and university students, but also to engineers in the industry, air navigation service providers (ANSPs), and regulators of aviation.

Equations of Motion for Incompressible Viscous Fluids - With Mixed Boundary Conditions (Hardcover, 1st ed. 2021): Tujin Kim,... Equations of Motion for Incompressible Viscous Fluids - With Mixed Boundary Conditions (Hardcover, 1st ed. 2021)
Tujin Kim, Daomin Cao
R3,666 Discovery Miles 36 660 Ships in 10 - 15 working days

This monograph explores the motion of incompressible fluids by presenting and incorporating various boundary conditions possible for real phenomena. The authors' approach carefully walks readers through the development of fluid equations at the cutting edge of research, and the applications of a variety of boundary conditions to real-world problems. Special attention is paid to the equivalence between partial differential equations with a mixture of various boundary conditions and their corresponding variational problems, especially variational inequalities with one unknown. A self-contained approach is maintained throughout by first covering introductory topics, and then moving on to mixtures of boundary conditions, a thorough outline of the Navier-Stokes equations, an analysis of both the steady and non-steady Boussinesq system, and more. Equations of Motion for Incompressible Viscous Fluids is ideal for postgraduate students and researchers in the fields of fluid equations, numerical analysis, and mathematical modelling.

Advances in Effective Flow Separation Control for Aircraft Drag Reduction - Modeling, Simulations and Experimentations... Advances in Effective Flow Separation Control for Aircraft Drag Reduction - Modeling, Simulations and Experimentations (Hardcover, 1st ed. 2020)
Ning Qin, Jacques Periaux, Gabriel Bugeda
R4,395 Discovery Miles 43 950 Ships in 10 - 15 working days

This book presents the results of a European-Chinese collaborative research project, Manipulation of Reynolds Stress for Separation Control and Drag Reduction (MARS), including an analysis and discussion of the effects of a number of active flow control devices on the discrete dynamic components of the turbulent shear layers and Reynolds stress. From an application point of view, it provides a positive and necessary step to control individual structures that are larger in scale and lower in frequency compared to the richness of the temporal and spatial scales in turbulent separated flows.

Multi-Valued Variational Inequalities and Inclusions (Hardcover, 1st ed. 2021): Siegfried Carl, Vy Khoi Le Multi-Valued Variational Inequalities and Inclusions (Hardcover, 1st ed. 2021)
Siegfried Carl, Vy Khoi Le
R4,280 Discovery Miles 42 800 Ships in 12 - 19 working days

This book focuses on a large class of multi-valued variational differential inequalities and inclusions of stationary and evolutionary types with constraints reflected by subdifferentials of convex functionals. Its main goal is to provide a systematic, unified, and relatively self-contained exposition of existence, comparison and enclosure principles, together with other qualitative properties of multi-valued variational inequalities and inclusions. The problems under consideration are studied in different function spaces such as Sobolev spaces, Orlicz-Sobolev spaces, Sobolev spaces with variable exponents, and Beppo-Levi spaces. A general and comprehensive sub-supersolution method (lattice method) is developed for both stationary and evolutionary multi-valued variational inequalities, which preserves the characteristic features of the commonly known sub-supersolution method for single-valued, quasilinear elliptic and parabolic problems. This method provides a powerful tool for studying existence and enclosure properties of solutions when the coercivity of the problems under consideration fails. It can also be used to investigate qualitative properties such as the multiplicity and location of solutions or the existence of extremal solutions. This is the first in-depth treatise on the sub-supersolution (lattice) method for multi-valued variational inequalities without any variational structures, together with related topics. The choice of the included materials and their organization in the book also makes it useful and accessible to a large audience consisting of graduate students and researchers in various areas of Mathematical Analysis and Theoretical Physics.

Applied Optimization and Swarm Intelligence (Hardcover, 1st ed. 2021): Eneko Osaba, Xin-She Yang Applied Optimization and Swarm Intelligence (Hardcover, 1st ed. 2021)
Eneko Osaba, Xin-She Yang
R5,102 Discovery Miles 51 020 Ships in 10 - 15 working days

This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.

Examples and Problems in Advanced Calculus: Real-Valued Functions (Hardcover, 1st ed. 2020): Bijan Davvaz Examples and Problems in Advanced Calculus: Real-Valued Functions (Hardcover, 1st ed. 2020)
Bijan Davvaz
R1,703 Discovery Miles 17 030 Ships in 10 - 15 working days

This book includes over 500 most challenging exercises and problems in calculus. Topical problems and exercises are discussed on set theory, numbers, functions, limits and continuity, derivative, integral calculus, Rolle's theorem, mean value theorem, optimization problems, sequences and series. All the seven chapters recall important definitions, theorems and concepts, making this book immensely valuable to undergraduate students of engineering, mathematics, statistics, computer science and basic sciences.

Particle Swarm Optimization with Applications (Hardcover): Pakize Erdogmus Particle Swarm Optimization with Applications (Hardcover)
Pakize Erdogmus
R3,307 Discovery Miles 33 070 Ships in 10 - 15 working days
Optimization Under Uncertainty with Applications to Aerospace Engineering (Hardcover, 1st ed. 2021): Massimiliano Vasile Optimization Under Uncertainty with Applications to Aerospace Engineering (Hardcover, 1st ed. 2021)
Massimiliano Vasile
R4,707 Discovery Miles 47 070 Ships in 10 - 15 working days

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.

Metaheuristic and Evolutionary Computation: Algorithms and Applications (Hardcover, 1st ed. 2021): Hasmat Malik, Atif Iqbal,... Metaheuristic and Evolutionary Computation: Algorithms and Applications (Hardcover, 1st ed. 2021)
Hasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh
R4,541 Discovery Miles 45 410 Ships in 10 - 15 working days

This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book's second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.

Modeling, Analysis, and Applications in Metaheuristic Computing - Advancements and Trends (Hardcover): Peng-Yeng Yin Modeling, Analysis, and Applications in Metaheuristic Computing - Advancements and Trends (Hardcover)
Peng-Yeng Yin
R5,399 Discovery Miles 53 990 Ships in 10 - 15 working days

The engineering and business problems the world faces today have become more impenetrable and unstructured, making the design of a satisfactory problem-specific algorithm nontrivial. Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this book compiles the latest findings, analysis, improvements, and applications of technologies within metaheuristic computing.

Guide to Graph Colouring - Algorithms and Applications (Hardcover, 2nd ed. 2021): R.M.R. Lewis Guide to Graph Colouring - Algorithms and Applications (Hardcover, 2nd ed. 2021)
R.M.R. Lewis
R2,297 Discovery Miles 22 970 Ships in 10 - 15 working days

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why. The introductory chapters explain graph colouring, complexity theory, bounds and constructive algorithms. The author then shows how advanced, graph colouring techniques can be applied to classic real-world operational research problems such as designing seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by an online suite of downloadable code. The book is of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.

Metaheuristics for Finding Multiple Solutions (Hardcover, 1st ed. 2021): Mike Preuss, Michael G. Epitropakis, Xiaodong Li,... Metaheuristics for Finding Multiple Solutions (Hardcover, 1st ed. 2021)
Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend
R4,592 Discovery Miles 45 920 Ships in 12 - 19 working days

This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are "multimodal" by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as "niching" methods, because of the nature-inspired "niching" effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges. To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation, and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of this kind specifically on the topic of niching techniques. This book will serve as a valuable reference book both for researchers and practitioners. Although chapters are written in a mutually independent way, Chapter 1 will help novice readers get an overview of the field. It describes the development of the field and its current state and provides a comparative analysis of the IEEE CEC and ACM GECCO niching competitions of recent years, followed by a collection of open research questions and possible research directions that may be tackled in the future.

Intelligent Control - A Stochastic Optimization Based Adaptive Fuzzy Approach (Hardcover, 1st ed. 2018): Kaushik Das Sharma,... Intelligent Control - A Stochastic Optimization Based Adaptive Fuzzy Approach (Hardcover, 1st ed. 2018)
Kaushik Das Sharma, Amitava Chatterjee, Anjan Rakshit
R4,632 Discovery Miles 46 320 Ships in 10 - 15 working days

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.

Handbook of Optimization (Hardcover): Calanthia Wright Handbook of Optimization (Hardcover)
Calanthia Wright
R3,139 Discovery Miles 31 390 Ships in 12 - 19 working days
2016 MATRIX Annals (Hardcover, 1st ed. 2018): David R. Wood 2016 MATRIX Annals (Hardcover, 1st ed. 2018)
David R. Wood; Edited by Jan De Gier, Cheryl E Praeger, Terence Tao
R4,247 Discovery Miles 42 470 Ships in 10 - 15 working days

MATRIX is Australia's international, residential mathematical research institute. It facilitates new collaborations and mathematical advances through intensive residential research programs, each lasting 1-4 weeks. This book is a scientific record of the five programs held at MATRIX in its first year, 2016: - Higher Structures in Geometry and Physics - Winter of Disconnectedness - Approximation and Optimisation - Refining C*-Algebraic Invariants for Dynamics using KK-theory - Interactions between Topological Recursion, Modularity, Quantum Invariants and Low- dimensional Topology The MATRIX Scientific Committee selected these programs based on their scientific excellence and the participation rate of high-profile international participants. Each program included ample unstructured time to encourage collaborative research; some of the longer programs also included an embedded conference or lecture series. The articles are grouped into peer-reviewed contributions and other contributions. The peer-reviewed articles present original results or reviews on selected topics related to the MATRIX program; the remaining contributions are predominantly lecture notes based on talks or activities at MATRIX.

Advances in Reliability Analysis and its Applications (Hardcover, 1st ed. 2020): Mangey Ram, Hoang Pham Advances in Reliability Analysis and its Applications (Hardcover, 1st ed. 2020)
Mangey Ram, Hoang Pham
R2,934 Discovery Miles 29 340 Ships in 10 - 15 working days

This book presents the latest research in the fields of reliability theory and its applications, providing a comprehensive overview of reliability engineering and discussing various tools, techniques, strategies and methods within these areas. Reliability analysis is one of the most multidimensional topics in the field of systems reliability engineering, and while its rapid development creates opportunities for industrialists and academics, it is also means that it is hard to keep up to date with the research taking place. By gathering findings from institutions around the globe, the book offers insights into the international developments in the field. As well as discussing the current areas of research, it also identifies knowledge gaps in reliability theory and its applications and highlights fruitful avenues for future research. Covering topics from life cycle sustainability to performance analysis of cloud computing, this book is ideal for upper undergraduate and postgraduate researchers studying reliability engineering.

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