Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2124251904', 'doi': 'https://doi.org/10.1002/cem.1230', 'title': 'Algorithms for DEDICOM: acceleration, deceleration, or neither?', 'display_name': 'Algorithms for DEDICOM: acceleration, deceleration, or neither?', 'publication_year': 2009, 'publication_date': '2009-03-20', 'ids': {'openalex': 'https://openalex.org/W2124251904', 'doi': 'https://doi.org/10.1002/cem.1230', 'mag': '2124251904'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/cem.1230', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S61773069', 'display_name': 'Journal of Chemometrics', 'issn_l': '0886-9383', 'issn': ['0886-9383', '1099-128X'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5087208876', 'display_name': 'Yoshio Takane', 'orcid': 'https://orcid.org/0000-0002-4892-2018'}, 'institutions': [{'id': 'https://openalex.org/I5023651', 'display_name': 'McGill University', 'ror': 'https://ror.org/01pxwe438', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Yoshio Takane', 'raw_affiliation_strings': ['Department of Psychology, McGill University, Montreal, Canada#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychology, McGill University, Montreal, Canada#TAB#', 'institution_ids': ['https://openalex.org/I5023651']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100672483', 'display_name': 'Zhidong Zhang', 'orcid': 'https://orcid.org/0000-0002-6464-4003'}, 'institutions': [{'id': 'https://openalex.org/I5023651', 'display_name': 'McGill University', 'ror': 'https://ror.org/01pxwe438', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I5023651']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Zhidong Zhang', 'raw_affiliation_strings': ['Department of Psychology, McGill University, Montreal, Canada#TAB#'], 'affiliations': [{'raw_affiliation_string': 'Department of Psychology, McGill University, Montreal, Canada#TAB#', 'institution_ids': ['https://openalex.org/I5023651']}]}], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': {'value': 4530, 'currency': 'USD', 'value_usd': 4530, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 1.001, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 6, 'citation_normalized_percentile': {'value': 0.730735, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 80, 'max': 82}, 'biblio': {'volume': '23', 'issue': '7-8', 'first_page': '364', 'last_page': '370'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10792', 'display_name': 'Matrix Algorithms and Iterative Methods', 'score': 0.9994, 'subfield': {'id': 'https://openalex.org/subfields/1703', 'display_name': 'Computational Theory and Mathematics'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10792', 'display_name': 'Matrix Algorithms and Iterative Methods', 'score': 0.9994, 'subfield': {'id': 'https://openalex.org/subfields/1703', 'display_name': 'Computational Theory and Mathematics'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11447', 'display_name': 'Blind Source Separation and Independent Component Analysis', 'score': 0.9983, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10682', 'display_name': 'Quantum Computing and Simulation', 'score': 0.9975, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/independent-component-analysis', 'display_name': 'Independent Component Analysis', 'score': 0.505484}, {'id': 'https://openalex.org/keywords/matrix', 'display_name': 'Matrix (chemical analysis)', 'score': 0.4616434}], 'concepts': [{'id': 'https://openalex.org/C72169020', 'wikidata': 'https://www.wikidata.org/wiki/Q194404', 'display_name': 'Monotonic function', 'level': 2, 'score': 0.8111143}, {'id': 'https://openalex.org/C2777303404', 'wikidata': 'https://www.wikidata.org/wiki/Q759757', 'display_name': 'Convergence (economics)', 'level': 2, 'score': 0.6865747}, {'id': 'https://openalex.org/C158693339', 'wikidata': 'https://www.wikidata.org/wiki/Q190524', 'display_name': 'Eigenvalues and eigenvectors', 'level': 2, 'score': 0.6638086}, {'id': 'https://openalex.org/C45374587', 'wikidata': 'https://www.wikidata.org/wiki/Q12525525', 'display_name': 'Computation', 'level': 2, 'score': 0.6456437}, {'id': 'https://openalex.org/C132459708', 'wikidata': 'https://www.wikidata.org/wiki/Q744069', 'display_name': 'Extrapolation', 'level': 2, 'score': 0.6436992}, {'id': 'https://openalex.org/C117896860', 'wikidata': 'https://www.wikidata.org/wiki/Q11376', 'display_name': 'Acceleration', 'level': 2, 'score': 0.61365426}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.60396445}, {'id': 'https://openalex.org/C90119067', 'wikidata': 'https://www.wikidata.org/wiki/Q43260', 'display_name': 'Polynomial', 'level': 2, 'score': 0.5528592}, {'id': 'https://openalex.org/C2780586882', 'wikidata': 'https://www.wikidata.org/wiki/Q7520643', 'display_name': 'Simple (philosophy)', 'level': 2, 'score': 0.53131294}, {'id': 'https://openalex.org/C106487976', 'wikidata': 'https://www.wikidata.org/wiki/Q685816', 'display_name': 'Matrix (chemical analysis)', 'level': 2, 'score': 0.4616434}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.44902217}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.4479949}, {'id': 'https://openalex.org/C124681953', 'wikidata': 'https://www.wikidata.org/wiki/Q339062', 'display_name': 'Decomposition', 'level': 2, 'score': 0.42341426}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.41668376}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C192562407', 'wikidata': 'https://www.wikidata.org/wiki/Q228736', 'display_name': 'Materials science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C111472728', 'wikidata': 'https://www.wikidata.org/wiki/Q9471', 'display_name': 'Epistemology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C74650414', 'wikidata': 'https://www.wikidata.org/wiki/Q11397', 'display_name': 'Classical mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C162324750', 'wikidata': 'https://www.wikidata.org/wiki/Q8134', 'display_name': 'Economics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C159985019', 'wikidata': 'https://www.wikidata.org/wiki/Q181790', 'display_name': 'Composite material', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C50522688', 'wikidata': 'https://www.wikidata.org/wiki/Q189833', 'display_name': 'Economic growth', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C18903297', 'wikidata': 'https://www.wikidata.org/wiki/Q7150', 'display_name': 'Ecology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C86803240', 'wikidata': 'https://www.wikidata.org/wiki/Q420', 'display_name': 'Biology', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1002/cem.1230', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S61773069', 'display_name': 'Journal of Chemometrics', 'issn_l': '0886-9383', 'issn': ['0886-9383', '1099-128X'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320595', 'host_organization_name': 'Wiley', 'host_organization_lineage': ['https://openalex.org/P4310320595'], 'host_organization_lineage_names': ['Wiley'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 13, 'referenced_works': ['https://openalex.org/W1584484605', 'https://openalex.org/W1995855984', 'https://openalex.org/W1998689980', 'https://openalex.org/W2004162424', 'https://openalex.org/W2034403582', 'https://openalex.org/W2043064432', 'https://openalex.org/W2045512849', 'https://openalex.org/W2057636763', 'https://openalex.org/W2090657554', 'https://openalex.org/W2123954592', 'https://openalex.org/W2154159030', 'https://openalex.org/W2171265773', 'https://openalex.org/W4255617862'], 'related_works': ['https://openalex.org/W86530646', 'https://openalex.org/W2374839191', 'https://openalex.org/W2229962336', 'https://openalex.org/W2171529982', 'https://openalex.org/W2154039962', 'https://openalex.org/W2152713700', 'https://openalex.org/W2113250618', 'https://openalex.org/W2110082615', 'https://openalex.org/W2090128564', 'https://openalex.org/W173743176'], 'abstract_inverted_index': {'Abstract': [0], "Takane's": [1, 49, 72, 104, 127], 'original': [2, 50, 105], 'algorithm': [3, 46, 51, 73, 99], 'for': [4, 79], 'DEDICOM': [5], '(DEcomposition': [6], 'into': [7], 'DIrectional': [8], 'COMponents)': [9], 'was': [10], 'proposed': [11], 'more': [12, 97], 'than': [13], 'two': [14], 'decades': [15], 'ago.': [16], 'There': [17], 'have': [18], 'been': [19], 'a': [20, 68, 86, 95], 'couple': [21], 'of': [22, 36, 62, 85, 103, 126], 'significant': [23], 'developments': [24], 'since': [25], 'then:': [26], 'Kiers': [27], 'et': [28], 'al': [29], ".'s": [30], 'modification': [31], 'to': [32, 42, 122], 'ensure': [33], 'monotonic': [34], 'convergence': [35, 125], 'the': [37, 44, 53, 75, 116, 124, 136], 'algorithm,': [38, 106, 128], 'and': [39, 74, 83, 129], "Jennrich's": [40], 'recommendation': [41], 'use': [43], 'modified': [45], 'only': [47], 'when': [48], 'violates': [52], 'monotonicity.': [54], 'In': [55], 'this': [56, 110], 'paper,': [57], 'we': [58, 92, 114], 'argue': [59], 'that': [60, 131], 'neither': [61], 'these': [63], 'modifications': [64, 102], 'is': [65], 'essential,': [66], 'drawing': [67], 'close': [69], 'relationship': [70], 'between': [71], 'simultaneous': [76], 'power': [77], 'method': [78, 121], 'obtaining': [80], 'dominant': [81], 'eigenvalues': [82], 'vectors': [84], 'symmetric': [87], 'matrix.': [88], 'By': [89], 'ignoring': [90], 'monotonicity,': [91], 'can': [93], 'develop': [94], 'much': [96], 'efficient': [98], 'by': [100], 'simple': [101], 'as': [107], 'demonstrated': [108], 'in': [109], 'paper.': [111], 'More': [112], 'specifically,': [113], 'incorporate': [115], 'minimum': [117], 'polynomial': [118], 'extrapolation': [119], '(MPE)': [120], 'accelerate': [123], 'show': [130], 'it': [132], 'significantly': [133], 'cuts': [134], 'down': [135], 'computation': [137], 'time.': [138], 'Copyright': [139], '©': [140], '2009': [141], 'John': [142], 'Wiley': [143], '&': [144], 'Sons,': [145], 'Ltd.': [146]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2124251904', 'counts_by_year': [{'year': 2022, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 1}, {'year': 2014, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 1}], 'updated_date': '2024-08-15T09:52:06.268093', 'created_date': '2016-06-24'}