global minimum
High dimensional Global Minimum Variance Portfolio
... Since Markowitz mean-variance (MV) portfolio has been invented in 1952, it has become a cor- nerstone of modern finance. This theory incorpo- rates the investors’ preference and their expecta- tion of returns and risks. ...
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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum
... The minimization of energy functional (15) by curve evolution can obtain a stationary global minimum. That is to say, the corresponding final contours will detect all the objects in the PolSAR image. ...
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Finding global minimum using filled function method
... Filled function method (FFM) by Ge’s provided a better mechanism in finding global solution for global optimization problem. Whereas, the conventional optimization method such as Newton’s Method incapable ...
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Estimation of Network Reliability for a Fully Connected Network with Unreliable Nodes and Unreliable Edges using Neuro Optimization
... the global optimal solution has been employed for estimating the reliability of a ...the minimum energy state for the given condition. The global minimum energy state will exhibit the maximum ...
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stochastic global optimization technique which is population based and inspired by group behaviors in animals.
... local minimum. In this paper, we present a global path planning algorithm for a mobile robot in a known environment with static ...to global minimum and a customized algorithm which generates ...
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A Continuous Dynamical Systems Approach to Gauss Newton Minimization
... f → R f x = x − + x − + x − , provides the second example. Because of its unique global minimum of zero at x = [ 0.1,1,100 ] T , vanishing gradient, and constant positive define Hessian it perfectly ...
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On-orbit assembly using superquadric potential fields
... this global minimum, and with a suitable dissipation function will come to ...the global minimum of the attractive potential field, both a final position and orientation must be ...
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Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single Objective Electromagnetic Design Optimization
... the global minimum using as few objective function evaluations as possible, the most attractive experimental design is not the design that yields the most accurate kriging model, but instead the design that ...
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A New Global Scalarization Method for Multiobjective Optimization with an Arbitrary Ordering Cone
... whose global minimum points are exactly vector critical points of the original ...use global opti- mization algorithms (for example, classical genetic algorithms with “roulette wheel” selection) to ...
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Step Size Optimization of LMS Algorithm Using Aunt Colony Optimization & Its comparison with Particle Swarm optimization Algorithm in System Identification
... the global minimum of the error surface by moving in the direction of the negative gradient, approaches based on these algorithms may lead the filter to a local minimum when the error surface is ...
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What could a strengthened right to health bring to the post-2015 health development agenda?: interrogating the role of the minimum core concept in advancing essential global health needs
... the global versus national definition of the core are simi- larly applicable to the goals and targets of the post-2015 ...setting global standards, recommending that while countries should set their own ...
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Binary Sequences Design Using MGA
... like global minimum converging property of GA algorithm and fast convergence rate of Hamming scan ...local minimum point because it has no way to distinguish between local minimum point and a ...
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Does GMVP Strategy Reduce Risk? A Global Asset Approach
... of global minimum variance ...optimal minimum variance portfolios considering upper/lower bounds and no ...of global bond portfolios performs the best in terms of risk ...through global ...
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A Largest Empty Hypersphere Metaheuristic for Robust Optimisation with Implementation Uncertainty
... In order to give some indication of the nature of our LEH search we have applied it to the 2-dimensional problem (poly2D) and plotted the points evaluated and associated search path of the current estimate of the robust ...
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Newton based homotopy optimization method for solving global optimization problem
... In this study, the method used for optimization is the homotopy optimization method. This method need any local minimization method to minimize the function. Therefore the chosen method is Newton-Raphson method. The ...
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Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
... the global estimates of governing vari- ables (radiation, air temperature and humidity, wind speed) are likely to be less problematic than spatially variable dif- ferences in those low-relief ...
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Resilience Analysis in the Permanent Partitioning of a Water Distribution Network
... assessed in the typical day of operation. Thus, the dividing phase guarantees fulfilment of users’ total demand while inserting a low number of flow meters. The hydraulic simulations were carried out through the pressure ...
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Subinteger Range-Bin Alignment Method for ISAR Imaging of Noncooperative Targets
... the global range alignment algorithm will not converge to the correct result in Figure ...the global range alignment algorithm, when a = 3, b = ...The global range alignment method is clearly affected ...
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Gloning, Simon (2017): Elektrische Impedanztomographie zum Lungenmonitoring des Hundes. Dissertation, LMU München: Tierärztliche Fakultät
... mentiert. Zur Auswertung der EIT wurde die „Summe der regionalen Impedanzänderungen” der Atemzüge je PEEP-Level herangezogen. Der Wert der gesamten Lunge (global) wurde notiert und die venti- lierte Fläche in vier ...
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Estimation Of The Albedo Of The Earths Atmosphere At Makurdi, Nigeria
... the global solar radiation and the minimum and maximum temperature exhibit the same trends, but varies in opposite direction with the ...the global solar radiation reaching the Earth’s surface ...of ...
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