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Multivariate z-estimators for location and scatter
Multivariate z-estimators for location and scatter

Paper Title (use style: paper title) - G
Paper Title (use style: paper title) - G

... macroeconomic mathematical model consists of finding estimations of unknown values of its parameters that enable to reach the minimum value of the objective function which defines deviations of output variables’ values of the model from the corresponding observed values (known statistical data). Thi ...
Convergence of Newton-like methods for solving systems of
Convergence of Newton-like methods for solving systems of

... The analysis of Newton-like methods given in this paper is essentially based on the Newton-Kantorovich Theorem (Kantorovich [51) and its extension given by Ortega and Rheinboldt [6]. In our approach the dependence of the a s y m p t o t i c order of convergence on the error in M k as an approximatio ...
Unplannability IPC Track - University of Melbourne
Unplannability IPC Track - University of Melbourne

Math 1090-001 Midterm 3
Math 1090-001 Midterm 3

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Chapter 8: Dynamic Programming

An Adaptive Restarting Genetic Algorithm for Global
An Adaptive Restarting Genetic Algorithm for Global

... proposed adaptive restarting GA. The smaller loop is in essense a traditional GA, which involves genetic operators: crossover, mutation, evaluation and selection. It is noted that the value i in Fig. 2 represents the current number of generations of the GA in the smaller loop, within which the best ...
HOMEWORK 9 DUE: Wed., May 30 NAME: DIRECTIONS: • Turn in
HOMEWORK 9 DUE: Wed., May 30 NAME: DIRECTIONS: • Turn in

Simulated annealing with constraints aggregation for control of the
Simulated annealing with constraints aggregation for control of the

... the constraints need to be considered in the process - there are continuous and pointwise constraints. In particular, it means, that some group of functions are connected with process description by continuous differential-algebraic constraints. There is the second group of constraints, which denote ...
Pointer Analysis as a System of Linear Equations.
Pointer Analysis as a System of Linear Equations.

Goal Programming with Utility Function for Funding Allocation of a
Goal Programming with Utility Function for Funding Allocation of a

... diversified information, from classical materials to digital reading materials. It plays a vital role to ensure that UKM remains to be an institution of knowledge relevant to current needs of education. As UKM aims to have a one to one ratio of undergraduate to graduate intake by 2015 (Musa 2010), t ...
Portfolio Optimization with Markov
Portfolio Optimization with Markov

... of the risky asset and the bond. More precisely we assume that the interest rate of the bank account, the appreciation rate of the stock and the volatility of the stock depend on an external continuoustime, finite state Markov chain Y . The state of the Markov chain should represent the general mark ...
(2)ааf(x) = 2x
(2)ааf(x) = 2x

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rca icml

The TSP phase transition - Computer Science and Engineering
The TSP phase transition - Computer Science and Engineering

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Week 6 - Feb 17

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How do you solve a linear programming problem with a graph?

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Contents - MAC

rfp_15-0037_app_d_att_2_eng
rfp_15-0037_app_d_att_2_eng

... resource will be evaluated against these criteria and an average score will be used to calculate the total technical score. Using project descriptions, the bidder should submit a maximum of 3 projects. Only three projects per resource will be evaluated. If more than 3 projects are submitted, only th ...
Sangkyum`s slides
Sangkyum`s slides

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Annex 13

... Criterion a) Overall organisation and infrastructure (20 points – minimum threshold 12 points) 1. The organisational structure that the tenderer intends to put in place to implement the required services (see section Provide here the reference(s) to the relevant section in "Error! Reference source n ...
Unit 2: Interdependent Relationships in Ecosystems / Human Activity
Unit 2: Interdependent Relationships in Ecosystems / Human Activity

down
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Cross-mining Binary and Numerical Attributes
Cross-mining Binary and Numerical Attributes

MATH 234 - MECHANICAL VIBRATIONS PROBLEM SET-UP
MATH 234 - MECHANICAL VIBRATIONS PROBLEM SET-UP

... x = e−γt/2m (c1 cos ωt + c2 sin ωt) = Ae−γt/2m cos(ωt − ϕ). We see that the factor Ae−γt/2m plays the role of a time-dependent amplitude. If the damping rate γ is small, then this amplitude factor will decay to zero, but at a slow rate. ...
< 1 ... 16 17 18 19 20 21 22 23 24 ... 54 >

Multiple-criteria decision analysis



Multiple-criteria decision-making or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly considers multiple criteria in decision-making environments. Whether in our daily lives or in professional settings, there are typically multiple conflicting criteria that need to be evaluated in making decisions. Cost or price is usually one of the main criteria. Some measure of quality is typically another criterion that is in conflict with the cost. In purchasing a car, cost, comfort, safety, and fuel economy may be some of the main criteria we consider. It is unusual that the cheapest car is the most comfortable and the safest one. In portfolio management, we are interested in getting high returns but at the same time reducing our risks. Again, the stocks that have the potential of bringing high returns typically also carry high risks of losing money. In a service industry, customer satisfaction and the cost of providing service are two conflicting criteria that would be useful to consider.In our daily lives, we usually weigh multiple criteria implicitly and we may be comfortable with the consequences of such decisions that are made based on only intuition. On the other hand, when stakes are high, it is important to properly structure the problem and explicitly evaluate multiple criteria. In making the decision of whether to build a nuclear power plant or not, and where to build it, there are not only very complex issues involving multiple criteria, but there are also multiple parties who are deeply affected from the consequences.Structuring complex problems well and considering multiple criteria explicitly leads to more informed and better decisions. There have been important advances in this field since the start of the modern multiple-criteria decision-making discipline in the early 1960s. A variety of approaches and methods, many implemented by specialized decision-making software, have been developed for their application in an array of disciplines, ranging from politics and business to the environment and energy.
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