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Retelling the best solutions and sharing the secrets of discovery are part of the process of teaching problem solving. Ideally, this process is characterized by mathematical skill, good taste, and wit. It is a characteristically personal process and the best such teachers have surely left their personal marks on students and readers. Alexander Soifer is a teacher of problem solving and his book, Mathematics as Problem Solving, is designed to introduce problem solving to the next generation. --Cecil Rousseau The American Mathematical Monthly The problems faithfully reflect the world famous Russian school of mathematics, whose folklore is carefully interwoven with more traditional topics. Many of the problems are drawn from the author's rich repertoire of personal experiences, dating back to his younger days as an outstanding competitor in his native Russia, and spanning decades and continents as an organizer of competitions at the highest level. --George Bersenyi The book contains a very nice collection of problems of various difficulty. I particularly liked the problems on combinatorics and geometry. --Paul Erdos Professor Soifer has put together a splendid collection of elementary problems designed to lead students into significant mathematical concepts and techniques. Highly recommended. --Martin Gardner To assemble so much material of the type used in Mathematical Olympiads, which has been tried and tested there, is unusual. To then present it in a form which develops themes, supported by relevant examples and problems for the reader, does the author great credit. --R. W. Whitworth The Mathematical Gazette.
Geometry --- geometrie --- algebra --- wiskunde --- Mathematics --- Discrete mathematics --- discrete wiskunde --- Algebra --- Problem solving. --- Algebra. --- Combinatorics. --- Geometry. --- Mathematics. --- Mathematics, general. --- Math --- Science --- Euclid's Elements --- Combinatorics --- Mathematical analysis
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How to use the Design Thinking Tools A practical guide to make innovation happen The Design Thinking Toolbox explains the most important tools and methods to put Design Thinking into action. Based on the largest international survey on the use of design thinking, the most popular methods are described in four pages each by an expert from the global Design Thinking community. If you are involved in innovation, leadership, or design, these are tools you need. Simple instructions, expert tips, templates, and images help you implement each tool or method. Quickly and comprehensively familiarize yourself with the best design thinking tools Select the appropriate warm-ups, tools, and methods Explore new avenues of thinking Plan the agenda for different design thinking workshops Get practical application tips The Design Thinking Toolbox help innovators master the early stages of the innovation process.https://www.wiley.com/en-us/The+Design+Thinking+Toolbox%3A+A+Guide+to+Mastering+the+Most+Popular+and+Valuable+Innovation+Methods-p-9781119629214#:~:text=Description,-How%20to%20use&text=The%20Design%20Thinking%20Toolbox%20explains,the%20global%20Design%20Thinking%20community.
Creative ability in business. --- Creative ability in technology. --- Creative thinking. --- Problem solving. --- Project management. --- Organisatieleer --- Innovatie --- Creativiteit --- Creatief denken --- Probleemoplossend denken --- Brainstorming --- Werkvorm --- Design thinking
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Je hoeft geen Nikola Tesla of Leonardo Da Vinci te zijn om creatief te denken! Met de TRIZ-methode leer je een probleem vanuit zo veel mogelijk verschillende perspectieven te benaderen en van daaruit nieuwe oplossingen te vinden. Aan de hand van een aantal principes waarmee ingenieurs vaak werken, leer je buiten de bestaande denkkaders te treden. De TRIZ-methode is makkelijk, snel en breed toepasbaar op tal van problemen: niet alleen op technische, maar ook op sociale, maatschappelijke, politieke, organisatorische en alledaagse vraagstukken. En wanneer de eerste, spontane ideeënstroom opdroogt, gaat het creatieve proces dankzij de uitvindingsprincipes makkelijk nog een paar rondes verder. Ingenieur, student, consultant, manager of productontwikkelaar: met het gedetailleerde stappenplan, de vele voorbeelden, opdrachten en denkhulpmiddelen kun je zelf meteen aan de slag.Bron: https://www.lannoo.be/nl/creativiteit
Industrial psychology --- probleemoplossend denken --- creativiteit --- Cognitive psychology --- denken --- Creativiteit --- Denken --- Probleemoplossend denken --- Denkstrategieën --- Denkpsychologie --- Creativiteit. --- Psychologie. --- Probleemoplossend denken. --- PXL-Central Office 2020 --- organisatiekunde --- projectmanagement --- methodisch handelen --- Problem solving --- Denkstrategie
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Innovative Comparative Methods for Policy Analysis aims to provide a decisive push to the further development and application of innovative and specific comparative methods for the improvement of policy analysis. To take on this challenge, this volume brings together methodologists and specialists from a broad range of social scientific disciplines and policy fields. The work further develops methods for systematic comparative cases analysis in a small-N research design, with a key emphasis laid on policy-oriented applications. Innovative Comparative Methods for Policy Analysis is clearly both a social scientific and policy-driven endeavor; on the one hand, the book engages in an effort to further improve social scientific methods, but on the other hand this effort also intends to provide useful, applied tools for policy analysts and the ‘policy community’ alike. Though quite a variety of methods and techniques are touched upon in this volume, its focus is mainly laid on two recently developed research methods/techniques which enable researchers to systematically compare a limited number of cases; Qualitative Comparative Analysis(QCA) and Fuzzy-Sets (FS).
methodologieën --- economische geschiedenis --- economie --- Economics --- Social sciences --- Policy sciences. --- Policy-making --- Policymaking --- Public policy management --- Research --- Methodology. --- Economic history. --- Business. --- History of Economic Thought/Methodology. --- Business and Management, general. --- Trade --- Management --- Commerce --- Industrial management --- Economic conditions --- History, Economic --- Management science. --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision
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Various generalizations of the classical concept of a convex function have been introduced, especially during the second half of the 20th century. Generalized convex functions are the many nonconvex functions which share at least one of the valuable properties of convex functions. Apart from their theoretical interest, they are often more suitable than convex functions to describe real-word problems in disciplines such as economics, engineering, management science, probability theory and in other applied sciences. More recently, generalized monotone maps which are closely related to generalized convex functions have also been studied extensively. While initial efforts to generalize convexity and monotonicity were limited to only a few research centers, today there are numerous researchers throughout the world and in various disciplines engaged in theoretical and applied studies of generalized convexity/monotonicity (see http://www.genconv.org). The Handbook offers a systematic and thorough exposition of the theory and applications of the various aspects of generalized convexity and generalized monotonicity. It is aimed at the non-expert, for whom it provides a detailed introduction, as well as at the expert who seeks to learn about the latest developments and references in his research area. Results in this fast growing field are contained in a large number of scientific papers which appeared in a variety of professional journals, partially due to the interdisciplinary nature of the subject matter. Each of its fourteen chapters is written by leading experts of the respective research area starting from the very basics and moving on to the state of the art of the subject. Each chapter is complemented by a comprehensive bibliography which will assist the non-expert and expert alike.
Convex functions. --- Monotonic functions. --- Functions, Monotonic --- Functions of real variables --- Functions, Convex --- Convex functions --- Monotonic functions --- Mathematics. --- Real Functions. --- Game Theory, Economics, Social and Behav. Sciences. --- Operations Research, Management Science. --- Math --- Science --- Functions of real variables. --- Game theory. --- Operations research. --- Management science. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Real variables --- Functions of complex variables --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory
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One central function of tort law is the inducement of precaution incentives. This is particularly welcome in settings in which the internalization of interdependencies between individuals relating to care and expected harm would otherwise not take effect due to high transaction costs broadly conceived, accident settings being a prime example. Tim Friehe analyzes important aspects for the design of tort law which intends to induce optimal individual choices and possible limitations of workable tort law in varied settings. Incentives to take precaution, which affect the accident probability and/or the magnitude of the harm in the event of an accident, are of primary interest in this context. After providing an extensive review of the literature relating to the economic analysis of tort law, the author goes on to discuss the consequences of victims with different harm levels. In particular, using average harm as a compensation measure in order to save administrative costs is considered and a scheme to make the revelation of the individual harm level incentive-compatible is devised. Furthermore, the book contributes to the ongoing discussion on the effects of judgment proofness and the distinction between unilateral harm and bilateral harm accidents. Finally, the author highlights the consequences of the consideration of hitherto neglected behavioral dimensions for the conclusions of the economic analysis of tort law.
Economics/Management Science. --- Economics general. --- Economics. --- Economie politique --- Accident law. --- Law and economics. --- Law. --- Business & Economics --- Law, Politics & Government --- Law, General & Comparative --- Economic Theory --- Economics and jurisprudence --- Economics and law --- Jurisprudence and economics --- Accidents --- Injuries (Law) --- Law, Accident --- Law and legislation --- Management science. --- Economics, general. --- Negligence --- Personal injuries --- Torts --- Economics --- Jurisprudence --- Economic theory --- Political economy --- Social sciences --- Economic man --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision
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“Supply Chain Risk Management is an issue that many companies face and yet few companies know how to deal with it in a systematic and pragmatic manner. While avoiding and reducing supply chain risks are certainly preferable, developing ways to restore and stabilize supply chain operations rapidly after a major disruption is critical for managing global supply chains. Sodhi and Tang present important concepts, frameworks, strategies, and analyses that are essential for managing supply chain risks. Not only does this book suggest some practical ways to work with different partners to manage the risks that are present in a global supply chain, it creates a framework that would enable practitioners to engage researchers to work on this important area.” - Thomas A. Debrowski, Executive Vice President, Worldwide Operations, Mattel, Inc.
Industrial economics --- Operational research. Game theory --- speltheorie --- operationeel onderzoek --- industriële marketing --- ingenieurswetenschappen --- Production management. --- Engineering economics. --- Business logisti. --- Operations research. --- Decision making. --- Business logistics --- Risk management. --- Management. --- Industrial management --- Manufacturing management --- Industrial engineering --- Economy, Engineering --- Engineering economics --- Choice (Psychology) --- Problem solving --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Management science --- Research --- System theory --- Operational analysis --- Operational research --- Decision making --- Insurance --- Logistics --- Supply chain management --- Business logistics.
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This volume contains a collection of refereed articles on generalized convexity and generalized monotonicity. The first part of the book contains invited papers by leading experts (J.M. Borwein, R.E. Burkard, B.S. Mordukhovich and H. Tuy) with applications of (generalized) convexity to such diverse fields as algebraic dynamics of the Gamma function values, discrete optimization, Lipschitzian stability of parametric constraint systems, and monotonicity of functions. The second part contains contributions presenting the latest developments in generalized convexity and generalized monotonicity: its connections with discrete and with continuous optimization, multiobjective optimization, fractional programming, nonsmooth Aanalysis, variational inequalities, and its applications to concrete problems such as finding equilibrium prices in mathematical economics, or hydrothermal scheduling. Audience This volume is suitable for faculty, graduate students, and researchers in mathematical programming, operations research, convex analysis, nonsmooth analysis, game theory and mathematical economics.
Convex functions --- Monotonic functions --- Functions, Monotonic --- Functions of real variables --- Functions, Convex --- Mathematical optimization. --- Mathematics. --- Operations Research, Management Science. --- Optimization. --- Calculus of Variations and Optimal Control; Optimization. --- Game Theory, Economics, Social and Behav. Sciences. --- Math --- Science --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operations research. --- Management science. --- Calculus of variations. --- Game theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Isoperimetrical problems --- Variations, Calculus of --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Convex functions - Congresses --- Monotonic functions - Congresses
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It is not an exaggeration that much of what people devote in their hfe re solves around optimization in one way or another. On one hand, many decision making problems in real applications naturally result in optimization problems in a form of integer programming. On the other hand, integer programming has been one of the great challenges for the optimization research community for many years, due to its computational difficulties: Exponential growth in its computational complexity with respect to the problem dimension. Since the pioneering work of R. Gomory [80] in the late 1950s, the theoretical and methodological development of integer programming has grown by leaps and bounds, mainly focusing on linear integer programming. The past few years have also witnessed certain promising theoretical and methodological achieve ments in nonlinear integer programming. When the first author of this book was working on duality theory for n- convex continuous optimization in the middle of 1990s, Prof. Douglas J. White suggested that he explore an extension of his research results to integer pro gramming. The two authors of the book started their collaborative work on integer programming and global optimization in 1997. The more they have investigated in nonlinear integer programming, the more they need to further delve into the subject. Both authors have been greatly enjoying working in this exciting and challenging field.
Integer programming. --- Nonlinear programming. --- Programming (Mathematics) --- Integer programming --- Nonlinear programming --- Mathematical optimization. --- Operations research. --- Computer science. --- Optimization. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Mathematical Modeling and Industrial Mathematics. --- Mathematics of Computing. --- Math Applications in Computer Science. --- Informatics --- Science --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Decision making. --- Management science. --- Mathematical models. --- Computer science—Mathematics. --- Models, Mathematical --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making --- Acqui 2006 --- Programmation non lineaire
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Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. Key features: -Presents carefully chosen topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory -Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes -Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration -Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications -Includes entertaining mini-biographies of mathematicians, giving an enriching historical context -Covers basic results in probability Two appendices with statistical tables and solutions to the even-numbered problems are included at the end. This textbook is for graduate students in applied mathematics, operations research, and engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful. Bio: Mario Lefebvre received his B.Sc. and M.Sc. in mathematics from the Université de Montréal, Canada, and his Ph.D. in mathematics from the University of Cambridge, England. He is a professor in the Department of Mathematics and Industrial Engineering at the École Polytechnique de Montréal. He has written five books, including another Springer title, Applied Probability and Statistics, and has published numerous papers on applied probability, statistics, and stochastic processes in international mathematical and engineering journals. This book developed from the author’s lecture notes for a course he has taught at the École Polytechnique de Montréal since 1988.
analyse (wiskunde) --- operationeel onderzoek --- Operational research. Game theory --- Engineering sciences. Technology --- speltheorie --- kansrekening --- ingenieurswetenschappen --- stochastische analyse --- Stochastic processes --- Stochastic processes. --- Processus stochastiques --- EPUB-LIV-FT LIVMATHE SPRINGER-B --- Distribution (Probability theory. --- Engineering mathematics. --- Probability Theory and Stochastic Processes. --- Operations Research, Management Science. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Mathematics --- Probabilities. --- Operations research. --- Management science. --- Applied mathematics. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk
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