{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":34,"n_cols":5,"rows_kept":34,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[10,2,10,3],[10,4,10,5],[11,2,11,3],[11,4,11,5],[12,2,12,3],[12,4,12,5],[13,2,13,3],[14,2,14,3],[15,2,15,3],[16,2,16,3],[17,2,17,3],[18,2,18,3],[19,2,19,3],[27,2,27,3],[28,2,28,3],[31,2,31,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA990008756510403321"]
[null,null,"Autore",null,"Istat"]
[null,null,"Titolo",null,"Bolzano - Bozen / Istituto centrale di statistica"]
[null,null,"Pubbl/distr/stampa",null,"Roma : Istat, 1993"]
[null,null,"Descrizione fisica",null,"304 p. : ill. ; 31 cm"]
[null,null,"Locazione",null,"ILFGE"]
[null,null,"Collocazione",null,"Istat Cens.P. 1991 1(21)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910303450903321"]
[null,null,"Autore",null,"Iske Armin"]
[null,null,"Titolo",null,"Approximation Theory and Algorithms for Data Analysis / / by Armin Iske"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"3-030-05228-1"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 358 p. 34 illus., 15 illus. in color.)"]
[null,null,"Collana",null,"Texts in Applied Mathematics, , 0939-2475 ; ; 68"]
[null,null,"Disciplina",null,"511.4"]
[null,null,"Soggetti",null,"Approximation theory"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Approximations and Expansions"]
[{"$nulls":4},"Computational Mathematics and Numerical Analysis"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1 Introduction -- 2 Basic Methods and Numerical Analysis -- 3 Best Approximations -- 4 Euclidean Approximations -- 5 Chebyshev Approximations -- 6 Asymptotic Results -- 7 Basic Concepts of Signal Approximation -- 8 Kernel-Based Approximation -- 9 Computational Topology -- References -- Subject Index -- Name Index."]
[null,null,null,"Sommario/riassunto","This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical algorithms for data analysis plays an important role. The following topics are covered: * least-squares approximation and regularization methods * interpolation by algebraic and trigonometric polynomials * basic results on best approximations * Euclidean approximation * Chebyshev approximation * asymptotic concepts: error estimates and convergence rates * signal approximation by Fourier and wavelet methods * kernel-based multivariate approximation * approximation methods in computerized tomography Providing numerous supporting examples, graphical illustrations, and "]
[{"$nulls":4},"carefully selected exercises, this textbook is suitable for introductory courses, seminars, and distance learning programs on approximation for undergraduate students."]