{"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":31,"n_cols":5,"rows_kept":31,"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],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[9,2,9,3],[14,2,14,3],[15,2,15,3],[18,2,18,3],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[23,4,23,5],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA996495167603316"]
[null,null,"Autore",null,"Fampa Marcia"]
[null,null,"Titolo",null,"Maximum-entropy sampling : algorithms and application / / Marcia Fampa and Jon Lee"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-13078-2"]
[null,null,"Descrizione fisica",null,"1 online resource (206 pages)"]
[null,null,"Collana",null,"Springer series in operations research"]
[null,null,"Disciplina",null,"519.3"]
[null,null,"Soggetti",null,"Mathematical optimization"]
[{"$nulls":4},"Maximum entropy method"]
[{"$nulls":4},"Mathematical optimization - Methodology"]
[{"$nulls":4},"Optimització matemàtica"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 183-191) and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Overview -- Notation -- Contents -- The problem and basic properties -- Differential entropy -- The MESP and the CMESP -- Hardness -- A solvable case -- The complementary problem -- Scaling -- Masks -- Submodularity -- Branch-and-bound -- The branch-and-bound algorithmic framework for MESP -- Global upper bound for early termination -- Good lower bounds -- Greedy -- Swapping -- Approximation algorithm -- The branch-and-bound algorithmic framework for CMESP -- Upper bounds -- Spectral bounds -- Unconstrained -- Constrained -- Integer linear optimization -- An ILP-based diagonal bound for CMESP -- An ILP-based partition bound for MESP -- linx bound -- Convexity of linx -- Duality for linx -- Fixing variables in linx -- Computing linx and Dlinx solutions -- Scaling for linx -- The complementary problem of linx-gamma -- Factorization bound -- The Lagrangian dual of Fact -- Duality for DFact -- Fixing variables in DDFact -- Computing DDFact and DFact solutions -- Properties of the factorization bound -- NLP bound -- Convexity of NLP -- Scaling for NLP -- Good parameters for NLPgamma -- Strategies to select parameters for NLPgamma -- Duality and the logarithmic-barrier problem for gNLP -- Fixing variables in gNLP -- The logarithmic-barrier algorithm for gNLP -- NLP-gamma in the branch-and-bound algorithm -- BQP bound -- Convexity of BQP -- "]
[{"$nulls":4},"Duality for BQP -- Fixing variables in BQP -- A good feasible solution of DBQP from BQP -- Scaling for BQP -- Mixing bounds -- The mixing framework -- Optimizing the mixing parameters -- Duality for mixing -- Fixing variables in mix -- A good feasible solution of Dmix from mix -- Mixing the BQPgamma bound with the complementary BQPgamma bound -- Duality for smBQP -- Fixing variables in smBQP -- A good feasible solution of DsmBQP from smBQP -- Comparison of bounds -- Environmental monitoring."]
[{"$nulls":4},"The setting -- MESP within statistics and optimal experimental design -- MESP and environmental statistics -- From raw data to covariance matrices -- An example -- Opportunities -- Developing algorithmic advances for MESP/CMESP -- Variable fixing and branch-and-bound: state of the art -- Optimizing gamma for NLPgamma -- Solvable cases of MESP and mask optimization -- OA for CMESP -- MESP/CMESP variations and cousins -- Applications -- Basic formulae and inequalities -- Preliminary miscellany -- Square matrices -- Symmetric matrices -- Positive definite and semidefinite matrices -- References -- Index."]
[null,"2.","Record Nr.",null,"UNISALENTO991002025419707536"]
[null,null,"Autore",null,"Pieters, Danny"]
[null,null,"Titolo",null,"Introduction into the basic principles of social security / Danny Pieters"]
[null,null,"Pubbl/distr/stampa",null,"Deventer : Kluwer, 1993"]
[null,null,"ISBN",null,"9065447873"]
[null,null,"Descrizione fisica",null,"xii, 139 p."]
[null,null,"Classificazione",null,"LAV-III/B"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]