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  • Paris-Princeton Lectures on Mathematical Finance 2013

    Editors: Vicky Henderson, Ronnie Sircar

    Series series Mathematics and Statistics (R0)
    The current volume presents four chapters touching on some of the most important and modern areas of research in Mathematical Finance: asset price bubbles (by Philip Protter); energy markets (by Fred Espen Benth); investment under transaction costs (by Paolo Guasoni and Johannes Muhle-Karbe); and numerical methods for solving stochastic equations (by Dan Crisan, K. Manolarakis and C. Nee).The ... Read more

    $49.49 USD

  • Commodities, Energy and Environmental Finance

    Series Book 74 - Fields Institute Communications
    This volume is a collection of chapters covering the latest developments in applications of financial mathematics and statistics to topics in energy, commodity financial markets and environmental economics. The research presented is based on the presentations and discussions that took place during the Fields Institute Focus Program on Commodities, Energy and Environmental Finance in August 2013. ... Read more

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  • Scheduling

    Theory, Algorithms, and Systems

    Series series Mathematics and Statistics (R0)
    This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world. It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems.The main structure of the book as per previous edition consists of three ... Read more

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  • Simulation-Based Algorithms for Markov Decision Processes

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    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Read more

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  • Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems

    This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the full information about the system, but instead allow them to make their local decisions based only on the local information, possibly obtained during communication with their local neighbors. The book, primarily aimed at researchers in ... Read more

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  • An Introduction to Optimal Control Problems in Life Sciences and Economics

    From Mathematical Models to Numerical Simulation with MATLAB®

    Series series Mathematics and Statistics (R0)
    Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences.Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new ... Read more

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  • The Intuitive Customer

    7 Imperatives For Moving Your Customer Experience to the Next Level

    Series series Business and Management (R0)
    Building on the work of Daniel Kahneman (Thinking Fast and Slow), Dan Ariely (Predictably Irrational), Shaw and Hamilton provide a new understanding of how people behave, explain what it means for organizations who really want to understand their customers, and show you what to do to create exceptional customer experiences. ... Read more

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    by Xu Zhang, Qi Lü ...
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    The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic ... Read more

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  • Optimization, Control, and Applications of Stochastic Systems

    In Honor of Onésimo Hernández-Lerma

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    This volume provides a general overview of discrete- and continuous-time Markov control processes and stochastic games, along with a look at the range of applications of stochastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation algorithms, and infinite-dimensional linear programming. In all, the work comprises 18 ... Read more

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  • Positive Systems

    Theory and Applications (POSTA 2016) Rome, Italy, September 14-16, 2016

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    This book presents high-quality original contributions on positive systems, including topics such as: monotone dynamical systems in mathematical biology and game theory; mathematical developments for networked systems in biology, chemistry and the social sciences; linear and nonlinear positive operators; dynamical analysis, observation and control of positive distributed parameter systems; ... Read more

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  • Organizations

    Structures, Processes and Outcomes

    Based upon classical and contemporary theory and empirical research, this text forms a sociological analysis of organizations, focusing on the impacts that organizations have upon individuals and society. ... Read more

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