distance function
Parallel Method of Signed Distance Function Based on Normal Radiation
... Signed distance function (SDF) is usually used in the initialization and updating process of the level set ...signed distance function is the nearest distance between the point in the ...
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Efficiency in the Japanese trust banking industry: A stochastic distance function approach
... This paper aims to assess the technical efficiency of Japanese trust banks by using the stochastic distance function approach, which is suitable for analyzing complex trust banks but has never applied for ...
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Efficiency of Micro Finance Institutions in India: A Stochastic Distance Function Approach
... MFIs are crucial in rendering basic banking services to underprivileged rural poor and empowering them (especially women) towards self-reliance. By virtue of micro level operations, MFIs have the benefit of through ...
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Multi-output distance function for the North Sea Beam Trawl Fishery
... Abstract. Interactions between species in a fishery may be either biological (e.g. predator- prey) or technical (e.g. joint production). Technical interactions within fisheries have generally been assumed to exist, ...
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A Monte Carlo Analysis for Stochastic Distance Function Frontier
... revenue function called distance functions was developed by Shephard ...stochastic distance function frontier) to adjust the function form of stochastic frontier and make it suitable ...
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Provision of an environmental output within a multi output distance function approach
... Provision of an environmental output within a multi-output distance function approach Areal, Francisco J and Tiffin, Richard and Balcombe, Kelvin University of Reading... δkm ln xki ln.[r] ...
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Measuring regional environmental efficiency: A directional distance function approach
... This paper by applying a directional distance function approach measures the UK regions’ municipality waste performance. In addition the paper constructs conditional stochastic kernels trying to determine ...
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Derivation of the Hicks Elasticity of Substitution from the Input Distance Function
... input distance function, which is exactly dual to the Shadow Elasticity of ...Furthermore, distance (technical efficiency) is not constant for the Morishima and Antonelli Elasticities of ...
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An altering distance function in fuzzy metric fixed point theorems
... control function, called an altering distance ...altering distance is used a monotone, increasing, and continuous function ϕ : [, ∞) → [, ∞) such that ϕ(t) = if and only if t = ...
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Common fixed points of f contraction mapping with generalized altering distance function in partially ordered metric spaces
... altering distance function and : [0, ∞) → [0, ∞) is a right upper semi-continuous function with the condition ( ) > ( ), ∀ > 0 and ( ) = 0 ⇔ = ...
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Constrained nonparametric estimation of input distance function
... input distance function. A regres- sion function is estimated via kernel methods without functional form ...input distance function satisfies its properties, monotonicity constraints are ...
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THE EULER NUMBER FROM THE DISTANCE FUNCTION
... We present a new method to obtain the Euler number of a domain based on the tangent counts of concentric spheres in R 3 (or circles in R 2 ), with respect to the center O, that sweeps the domain. This method is derived ...
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d((x, y), (a, b)) is the distance function that measure
... Initially, the value function Q(a) of each action is set to zero. In the first episode, the agent deselects A1, A2, B3, A4, B2, and B1 from the original set and the episode ends at the terminal state, represented ...
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Common Fixed Point Theorems in Metric Space by Altering Distance Function
... In the present paper, we prove two theorems. In first theorem, we prove fixed point result for self-maps in the metric space under contractive condition of integral type by altering distance. In second result, we ...
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Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education
... This paper applies a data envelopment analysis (DEA) method to assess technical efficiency of both private and public universities in Italy. Moving from the traditional context where inputs and outputs are assumed to be ...
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Fixed point theorems for fuzzy mappings in metric spaces with an application
... It is well known that the fuzzy set concept plays an important role in many scientific and engineering applications. The fuzziness appears when we need to perform, on manifold, calculations with imprecision variables. The ...
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Volume 63: Software Clones 2014
... and distance measures to identify cloned frag- ...specific distance function in a clone detector is arbitrary up to some ...and distance measures, including a somehow counter-intuitive result ...
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Extensive Survey on Hierarchical Clustering Methods in Data Mining
... minimum distance to compute the space between clusters; this also known as nearest-neighbor clustering algorithm and SLINK ...on distance function the two minimum distance function are ...
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Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland
... Directional Distance Function and the Shadow Pricing of Electric Power Interruptions.. 81.[r] ...
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Title : EDGE DETECTION USING KERNEL FUZZY C-MEANS CLUSTERINGAuthor (s) : S. Rajanandhini
... set function close to a signed distance function ...set function to a signed distance function during the evolution, has been extensively used as a numerical remedy for ...
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