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Uncertain Order

Uncertain Order
Author: Blaine Terry Browne
Publisher: Pearson
Total Pages: 830
Release: 2003
Genre: History
ISBN:

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This book offers a narrative, chronological, and regionally organized approach to twentieth century world history. Throughout the presentation, three themes emphasize the importance of ideology, conflict, and technology to the century's events. Its broad and inclusive focus also pays attention to necessary detail and specifics, and incorporates relevant material into the book, to give readers an uninterrupted historical narrative. A three-part organization covers: The Decline of European Hegemony, 1900--1945; The Age of the Superpowers, 1945--1989; and The World Order in Transition, 1989--Present. Balanced coverage of major world regions includes Southeast Asia, Africa, Latin America, and the non-western world in general. A focus on both the First and Second World Wars enables readers to examine twentieth century history's theme of the primacy of conflict. For armchair historians with particular interest in the twentieth century world.


Resilient Controls for Ordering Uncertain Prospects

Resilient Controls for Ordering Uncertain Prospects
Author: Khanh D. Pham
Publisher: Springer
Total Pages: 222
Release: 2014-09-05
Genre: Mathematics
ISBN: 3319087053

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Providing readers with a detailed examination of resilient controls in risk-averse decision, this monograph is aimed toward researchers and graduate students in applied mathematics and electrical engineering with a systems-theoretic concentration. This work contains a timely and responsive evaluation of reforms on the use of asymmetry or skewness pertaining to the restrictive family of quadratic costs that have been appeared in various scholarly forums. Additionally, the book includes a discussion of the current and ongoing efforts in the usage of risk, dynamic game decision optimization and disturbance mitigation techniques with output feedback measurements tailored toward the worst-case scenarios. This work encompasses some of the current changes across uncertainty quantification, stochastic control communities, and the creative efforts that are being made to increase the understanding of resilient controls. Specific considerations are made in this book for the application of decision theory to resilient controls of the linear-quadratic class of stochastic dynamical systems. Each of these topics are examined explicitly in several chapters. This monograph also puts forward initiatives to reform both control decisions with risk consequences and correct-by-design paradigms for performance reliability associated with the class of stochastic linear dynamical systems with integral quadratic costs and subject to network delays, control and communication constraints.


Uncertain Rule-Based Fuzzy Systems

Uncertain Rule-Based Fuzzy Systems
Author: Jerry M. Mendel
Publisher: Springer
Total Pages: 701
Release: 2017-05-17
Genre: Technology & Engineering
ISBN: 3319513702

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The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.


Uncertain Differential Equations

Uncertain Differential Equations
Author: Kai Yao
Publisher: Springer
Total Pages: 166
Release: 2016-08-29
Genre: Technology & Engineering
ISBN: 3662527294

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This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.


Uncertain Decisions

Uncertain Decisions
Author: Luigi Luini
Publisher: Springer Science & Business Media
Total Pages: 360
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461550831

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Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory. This work also provides theoretical insights on measures of risk aversion and on new problems for general equilibrium analysis. It analyzes how the thinking that underlies the theories described above spills over into real decisions, and how the thinking that underlies these real decisions can explain the discrepancies between theoretical approaches and actual behavior. This work elaborates on how the most recent laboratory experiments have become an important source both for evaluating the leading theory of choice and decision, and for contributing to the formation of new models regarding the subject.


Competitive Agents in Certain and Uncertain Markets

Competitive Agents in Certain and Uncertain Markets
Author: Robert G. Chambers
Publisher: Oxford University Press
Total Pages: 390
Release: 2020-11-30
Genre: Business & Economics
ISBN: 0190063033

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For all its elaborate theories and models, economics always reduces to comparisons. Should we build A rather than B? Will I be better off if I eat D rather than C? How much will it cost me to produce F instead of E? At root, the ultimate goal of economics is simple: assessing the alternatives and finding the best possible outcome. This basic mathematical concept underlies all introductions to the field of economics, yet as advanced students progress through the discipline, they often lose track of this foundational idea when presented with real-world complications and uncertainty. In Competitive Agents in Certain and Uncertain Markets, Robert G. Chambers develops an integrated analytic framework for treating consumer, producer, and market equilibrium analyses as special cases of a generic optimization problem. He builds on lessons learned by all beginning students of economics to show how basic concepts can still be applied even in complex and highly uncertain conditions. Drawing from optimization theory, Chambers demonstrates how the same unified mathematical framework applies to both stochastic and non-stochastic decision settings. The book borrows from both convex and variational analysis and gives special emphasis to differentiability, conjugacy theory, and Fenchel's Duality Theorem. Throughout, Chambers includes practical examples, problems, and exercises to make abstract material accessible. Bringing together essential theoretical tools for understanding decision-making under uncertainty, Competitive Agents in Certain and Uncertain Markets provides a unified framework for analyzing a broad range of microeconomic decisions. This book will be an invaluable resource for advanced graduate students and scholars of microeconomic theory.


Uncertain Projective Geometry

Uncertain Projective Geometry
Author: Stephan Heuel
Publisher: Springer Science & Business Media
Total Pages: 214
Release: 2004-04-29
Genre: Mathematics
ISBN: 3540220291

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Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.


Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems

Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
Author: Wei Wang
Publisher: CRC Press
Total Pages: 219
Release: 2024-08-15
Genre: Technology & Engineering
ISBN: 1040093795

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Multi-agent systems are special networked systems full of research interest and practical sense, which are abundant in real life, ranging from mobile robot networks, intelligent transportation management, to multiple spacecraft, surveillance and monitoring. Consensus control is one of the most typical and hot research issues for multi-agent systems. Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems provides innovative technologies to design and analyze distributed adaptive consensus for multi-agent systems with model uncertainties. Based on the basic graph theory and adaptive backstepping control, this monograph: · Describes the state of the art on distributed adaptive control, finite-time consensus control and event-triggered consensus control · Studies distributed adaptive consensus under directed communication graph condition: the methods with linearly parametric reference, hierarchical decomposition, and design of auxiliary filers · Explores adaptive finite-time consensus for uncertain nonlinear systems · Considers distributed adaptive consensus with event-triggered communication via state feedback and output feedback · Investigates distributed adaptive formation control of nonholonomic mobile robots with experimental verification · Provides distributed adaptive attitude synchronization control schemes for multiple spacecraft with event-triggered communication Distributed Adaptive Consensus Control of Uncertain Multi-agent Systems can help engineering students and professionals to efficiently learn distributed adaptive control design tool for handling uncertain multi-agent systems with directed communication graph, guaranteeing finite-time convergence and saving communication resources.


An Uncertain Dream (Postcards From Pullman Book #3)

An Uncertain Dream (Postcards From Pullman Book #3)
Author: Judith Miller
Publisher: Bethany House
Total Pages: 384
Release: 2008-06-01
Genre: Fiction
ISBN: 1441202935

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When Pullman Car Works employees walk out in protest of their wages and high rent, Olivia Mott is torn between her loyalty to the company and her love for Fred DeVault. Amidst the turmoil in Pullman, Fred is asked to act as a local delegate to the national convention of the American Railway Union, but when the delegates vote in favor of a nationwide boycott of the famous Pullman sleeping cars, Olivia wonders if Fred will ever be able to return to the company town. What will become of their growing affection for each other? Who will prevail in the company strike?


Managing and Mining Uncertain Data

Managing and Mining Uncertain Data
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
Total Pages: 494
Release: 2010-07-08
Genre: Computers
ISBN: 0387096906

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Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.