FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2336404105> ?p ?o ?g. }

• W2336404105 abstract "Many methods arc available to construct the models from data sets that arc sampled on scattered grid. For Scattered data, the inverse distance weighted methods are considered better due to their efficiency, extendibility to higher dimensions, global in nature and ease in implementation. Modified Quadratic Shepard (MQS)method, being smooth with C' continuity, is a commonly used method in the field of science and engineering such as geophysics, astronomy and meteorology. The method is available with many libraries and visualization environments such as Numerical Analysis Group (NAG) and FORTRAN and Surfer 8. However, it has problem that being a C' continuous method it interpolates values extending beyond the inherently limits of the data, which is sometimes meaningless for scientific and business community. So it is not suitable for applications where there is some inherent constraint on value of data. Examples of such value constraints arc non negativity, upper and/or lower bounds,and more general constraint defined by a function. Such constraints commonly arise in science and engineering applications. Non-negativity (for simplicity we use the term positivity to mean non-negativity) is a special case of the generalized bounds preserving problem. Positivity of data is commonly encountered in science, engineering and business. The significance of positivity lies in the fact that sometimes it does not make sense to talk of some quantity to be negative. For example the quantities like mass, volume, density, absolute temperate & pressure, radiation dose, number of persons, chemical concentration, hydraulic conductivity and porosity are meaningless when negative.In this thesis we formulate five methods, based on the MQS method, to preserve the arbitrary lower and upper bounds of data and fulfilling various requirements of Visualizations and other applications such as efficiency, accuracy, continuity, case in implementation, extendibility to higher dimensionality and gradient estimation etc. All these constrained interpolation functions are C continuous. An optimum solution having most of the above given required characteristics for different sizes and dimensionality of data has been identified." @default.
• W2336404105 created "2016-06-24" @default.
• W2336404105 creator A5016224565 @default.
• W2336404105 date "2008-01-01" @default.
• W2336404105 modified "2023-09-23" @default.
• W2336404105 title "Visualization of Positive Data Using Modified Quadratic Shepard Method: An Optimum Solution" @default.
• W2336404105 hasPublicationYear "2008" @default.
• W2336404105 type Work @default.
• W2336404105 sameAs 2336404105 @default.
• W2336404105 citedByCount "0" @default.
• W2336404105 crossrefType "dissertation" @default.
• W2336404105 hasAuthorship W2336404105A5016224565 @default.
• W2336404105 hasConcept C11413529 @default.
• W2336404105 hasConcept C129844170 @default.
• W2336404105 hasConcept C2524010 @default.
• W2336404105 hasConcept C2776036281 @default.
• W2336404105 hasConcept C28826006 @default.
• W2336404105 hasConcept C33923547 @default.
• W2336404105 hasConcept C41008148 @default.
• W2336404105 hasConceptScore W2336404105C11413529 @default.
• W2336404105 hasConceptScore W2336404105C129844170 @default.
• W2336404105 hasConceptScore W2336404105C2524010 @default.
• W2336404105 hasConceptScore W2336404105C2776036281 @default.
• W2336404105 hasConceptScore W2336404105C28826006 @default.
• W2336404105 hasConceptScore W2336404105C33923547 @default.
• W2336404105 hasConceptScore W2336404105C41008148 @default.
• W2336404105 hasLocation W23364041051 @default.
• W2336404105 hasOpenAccess W2336404105 @default.
• W2336404105 hasPrimaryLocation W23364041051 @default.
• W2336404105 hasRelatedWork W1577573278 @default.
• W2336404105 hasRelatedWork W2021895449 @default.
• W2336404105 hasRelatedWork W2027264069 @default.
• W2336404105 hasRelatedWork W2035254394 @default.
• W2336404105 hasRelatedWork W2042433090 @default.
• W2336404105 hasRelatedWork W2060386534 @default.
• W2336404105 hasRelatedWork W2061744551 @default.
• W2336404105 hasRelatedWork W2066267315 @default.
• W2336404105 hasRelatedWork W2072152719 @default.
• W2336404105 hasRelatedWork W2085006714 @default.
• W2336404105 hasRelatedWork W2091837912 @default.
• W2336404105 hasRelatedWork W2101048818 @default.
• W2336404105 hasRelatedWork W2115343063 @default.
• W2336404105 hasRelatedWork W2134044176 @default.
• W2336404105 hasRelatedWork W2328908977 @default.
• W2336404105 hasRelatedWork W3102774238 @default.
• W2336404105 hasRelatedWork W61159901 @default.
• W2336404105 hasRelatedWork W1607193361 @default.
• W2336404105 hasRelatedWork W2143277081 @default.
• W2336404105 hasRelatedWork W2184482172 @default.
• W2336404105 isParatext "false" @default.
• W2336404105 isRetracted "false" @default.
• W2336404105 magId "2336404105" @default.
• W2336404105 workType "dissertation" @default.