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[null,"1.","Record Nr.",null,"UNINA9910151929603321"]
[null,null,"Autore",null,"Börm Steffen"]
[null,null,"Titolo",null,"Efficient Numerical Methods for Non-local Operators [[electronic resource] ] : ℋ2-Matrix Compression, Algorithms and Analysis  Corrected 2nd printing, September 2013 / / Steffen Börm"]
[null,null,"Pubbl/distr/stampa",null,"Zuerich, Switzerland, : European Mathematical Society Publishing House, 2010"]
[null,null,"ISBN",null,"3-03719-591-6"]
[null,null,"Descrizione fisica",null,"1 online resource (441 pages)"]
[null,null,"Collana",null,"EMS Tracts in Mathematics (ETM) ; 14"]
[null,null,"Classificazione",null,"65-xx"]
[null,null,"Soggetti",null,"Calculus & mathematical analysis"]
[{"$nulls":4},"Numerical analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Hierarchical matrices present an efficient way of treating dense matrices  that arise in the context of integral equations, elliptic partial  differential equations, and control theory.    While a dense n × n matrix in standard representation requires  n2 units of storage, a hierarchical matrix can approximate the  matrix in a compact representation requiring only O(nk log n) units  of storage, where k is a parameter controlling the accuracy.  Hierarchical matrices have been successfully applied to approximate  matrices arising in the context of boundary integral methods, to  construct preconditioners for partial differential equations, to  evaluate matrix functions and to solve matrix equations used in control  theory.  ℋ2-matrices  offer a refinement of hierarchical matrices: using a  multilevel representation of submatrices, the efficiency can be  significantly improved, particularly for large problems.      This books gives an introduction to the basic concepts and presents a  general framework that can be used to analyze the complexity and  accuracy of ℋ2-matrix techniques.  Starting from basic ideas of numerical linear  algebra and numerical analysis, the theory is developed in a straightforward and systematic way, accessible to advanced students and researchers  in numerical mathematics and scientific computing. Special techniques are only required  in isolated sections, e.g., for certain classes of model problems."]
[null,"2.","Record Nr.",null,"UNINA9910366632303321"]
[null,null,"Autore",null,"Pászto Vít"]
[null,null,"Titolo",null,"Spationomy [[electronic resource] ] : Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics / / edited by Vít Pászto, Carsten Jürgens, Polona Tominc, Jaroslav Burian"]
[null,null,"Pubbl/distr/stampa",null,"Cham, : Springer Nature, 2020"]
[{"$nulls":4},"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-26626-5"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (VIII, 325 p. 209 illus., 199 illus. in color.)"]
[null,null,"Disciplina",null,"330.9"]
[null,null,"Soggetti",null,"Economic geography"]
[{"$nulls":4},"Regional economics"]
[{"$nulls":4},"Spatial economics"]
[{"$nulls":4},"Geographical information systems"]
[{"$nulls":4},"Technology"]
[{"$nulls":4},"Economic Geography"]
[{"$nulls":4},"Regional/Spatial Science"]
[{"$nulls":4},"Geographical Information Systems/Cartography"]
[{"$nulls":4},"Applied Science, multidisciplinary"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Part A Methodological overview (Data sources (spatial and economic data, Quantitative methods in economy, Spatial analysis in geomatics, Business informatics principles, Methods in Microeconomics and Macroeconomics, Finance and Business, Economic Geography) -- 2. Part B - Techniques of data visualization (Non-spatial visualization, Spatial visualization, Interactive visualization) -- 3. Part C - Spatial exploration of economic data (Methods of interdisciplinary analytics, Case studies and applications I - V) -- 4. Part D - Simulation game-based framework (Introduction, Simulation Game Concept, Simulation Game Rounds, Evaluation/Scoring, Experiences/Good Practices)."]
[null,null,null,"Sommario/riassunto","This open access book is based on \"Spationomy – Spatial Exploration of Economic Data\", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and "]
[{"$nulls":4},"geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works."]