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1,041 results for "uncertainty"
Fusion: Life Energy Is the God Particle By Y V Chawla
eBook (ePub): $1.99
When you are hungry, only one thought that of food is there. When food goes inside the body and the processing starts, brain becomes ready for its function, that is, thoughts start generating.... More > Including the thought of 'you', God, soul, creation and so on. The secret, the origin is in this energy and not what thoughts depict. We have to see the limit of thinking, the function of thinking to see the total picture of Existence.< Less
Applied Decision Models By Anthony Webster
eBook (PDF): $15.00
This book is the primary required text for the "Decision Models and Applications" class taught at Columbia University’s Engineering School. (Class listing: SEAS IEOR 4611). The book... More > covers all of the topics addressed in the course, and provides a comprehensive set of example problems discussed during class sessions. This text may also serve as a standalone, terse introduction to applied decision modeling, as a review source for those needing a fast-paced refresher course, or as a quick-reference for business professionals that apply decision modeling in their day-to-day work. The book is designed to be enjoyed in either eBook or printed form.< Less
Robert Johnson's Cigarette - Poems By Jeff Kersh
eBook (ePub): $5.00
A collection of original poems by Jeff Kersh
Approximation and Solution Schemes for Stochastic Dynamic Optimization Problems By Lisa A. Korf
Paperback: $14.99
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Optimization and control problems often need to be formulated in a way that takes the uncertainty of the future into account in order to accurately reflect a "good" decision that can stand... More > up to a variety of possible future outcomes. One way of including uncertainty in such problems treats the uncertain parameters as a random vector with an underlying probability distribution. Doing this creates a stochastic programming model which is inherently infinite dimensional, or at best extremely large, in particular when many time stages are present. In order to solve such problems, a good approximation framework is needed that encompasses various approaches such as sampling and analytical methods for various problem classes. Complementing this should be a development of solution procedures that exploit a problem's structure, for example taking advantage of convexity and decomposability wherever possible. This dissertation addresses these key issues in four parts.< Less
Approximation and Solution Schemes for Stochastic Dynamic Optimization Problems By Lisa A. Korf
eBook (PDF): $6.99
Optimization and control problems often need to be formulated in a way that takes the uncertainty of the future into account in order to accurately reflect a "good" decision that can stand... More > up to a variety of possible future outcomes. One way of including uncertainty in such problems treats the uncertain parameters as a random vector with an underlying probability distribution. Doing this creates a stochastic programming model which is inherently infinite dimensional, or at best extremely large, in particular when many time stages are present. In order to solve such problems, a good approximation framework is needed that encompasses various approaches such as sampling and analytical methods for various problem classes. Complementing this should be a development of solution procedures that exploit a problem's structure, for example taking advantage of convexity and decomposability wherever possible. This dissertation addresses these key issues in four parts.< Less
Logical Doubts By Daniel Deleanu
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A philosophical examination of uncertainties in the field of logic.
Anti Heisenberg - Refutation Of Heisenberg's Ucertainty Principle V + VI By Ilija Barukcic
eBook (PDF): $3.00
Abstract V (July 7th, 2010): Refutation of Heisenberg's uncertainty principle using the speed of the light c. Abstract VI (July 7th, 2010): Refutation of Heisenberg's uncertainty principle using the... More > Gauss distribution.< Less
Essays on Firms' Investment Behavior By Catharina Klepsch
Paperback: List Price: $37.65 $33.89 | You Save: 10%
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This book consists of three self-contained empirical essays, which deal with different topics in the field of firms’ investment behavior. The first chapter explores firms’ partial... More > adjustment behavior toward target investments, the second chapter examines the effects of uncertainty on firms’ investment structures and the third chapter tests the explanatory power of existing measures of financial constraints. All analyses are based on unique data on private manufacturing firms in Germany provided by the Economics and Business Data Center.< Less
Overview of risk-informed decision-making processes - Editon couleur By Enrico Zio & Nicola Pedroni
Paperback: $17.52
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The authors introduce the general concepts, definitions and issues related to the use of Risk-informed decisionmaking (RIDM). These are structured processes which assist decision-makers when faced... More > with high impact, complex decisions involving multiple objectives and the presence of uncertainty. They aim to ensure that decisions between competing alternatives are taken with an awareness of the risks associated with each option, and that all attributes of a decision are considered in an integrated manner. Motivations for the use of these techniques as a complement to more traditional deterministic approaches to risk assessment are provided. The RIDM processes adopted by NASA and by the US Nuclear Regulatory Commission are described in detail, with an analysis of commonalities and differences in approach.< Less
Overview of risk-informed decision-making processes By Enrico Zio & Nicola Pedroni
Paperback: $7.77
Prints in 3-5 business days
The authors introduce the general concepts, definitions and issues related to the use of Risk-informed decisionmaking (RIDM). These are structured processes which assist decision-makers when faced... More > with high impact, complex decisions involving multiple objectives and the presence of uncertainty. They aim to ensure that decisions between competing alternatives are taken with an awareness of the risks associated with each option, and that all attributes of a decision are considered in an integrated manner. Motivations for the use of these techniques as a complement to more traditional deterministic approaches to risk assessment are provided. The RIDM processes adopted by NASA and by the US Nuclear Regulatory Commission are described in detail, with an analysis of commonalities and differences in approach.< Less

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Referral Mastery Referral Mastery By Joe Stumpf
Paperback: $13.32