LEADER 01939nam 2200397Ia 450 001 996394238103316 005 20200824121843.0 035 $a(CKB)4940000000114874 035 $a(EEBO)2240938346 035 $a(UnM)99896588e 035 $a(UnM)99896588 035 $a(EXLCZ)994940000000114874 100 $a19981118d1656 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aGospel-conversation$b[electronic resource] $eWherein is shewed, I. How the conversation of beleevers must be above what could be by the light of nature. II. Beyond those that lived under the law. III. And suitable to what truths the Gospel holds forth. By Jeremiah Burroughs, preacher of the Gospel at Stepney and Criple-Gate, London. Being the third book published by Thomas Goodwyn, William Greenhil, Sydrach Simpson, Philip Nye, William Bridge, John Yates, William Adderly 210 $aLondon $cprinted by Peter Cole, printer and book-seller, at the sign of the printing-press in Cornhil, near the Royal Exchange$d1656 215 $a[18], 292, 297-359, [7] p 300 $aPage 192 misnumbered 292. 300 $aThe words "Thomas Goodwyn, .. 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William Adderly." are bracketed together on title page. 300 $a"To the reader" signed: Thomas Goodwyn [and 6 others]. 300 $aIncludes "The misery of those men that have their portion in this life" (caption title). 300 $aText and register continuous despite pagination. 300 $aReproduction of original in the Bodleian Library. 330 $aeebo-0014 606 $aSermons, English$y17th century 615 0$aSermons, English 700 $aBurroughs$b Jeremiah$f1599-1646.$0793289 701 $aGoodwin$b Thomas$f1600-1680.$01001156 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bWaOLN 906 $aBOOK 912 $a996394238103316 996 $aGospel-conversation$92314711 997 $aUNISA LEADER 06078nam 22007095 450 001 9910770270403321 005 20240627180943.0 010 $a3-031-49611-6 024 7 $a10.1007/978-3-031-49611-0 035 $a(MiAaPQ)EBC31009084 035 $a(Au-PeEL)EBL31009084 035 $a(DE-He213)978-3-031-49611-0 035 $a(CKB)29337975700041 035 $a(EXLCZ)9929337975700041 100 $a20231208d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCombinatorial Optimization and Applications $e16th International Conference, COCOA 2023, Hawaii, HI, USA, December 15?17, 2023, Proceedings, Part I /$fedited by Weili Wu, Jianxiong Guo 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (535 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14461 311 08$aPrint version: Wu, Weili Combinatorial Optimization and Applications Cham : Springer,c2024 9783031496103 320 $aIncludes bibliographical references and index. 327 $aOptimization in Graphs -- An Efficient Local Search Algorithm for Correlation Clustering on Large Graphs -- Algorithms on a path covering problem with applications in transportation -- Faster Algorithms for Evacuation Problems in Networks with a Single Sink of Small Degree and Bounded Capacitated Edges -- An O(log n)-Competitive Posted-Price Algorithm for Online Matching on the Line -- Online Dominating Set and Coloring -- Near-Bipartiteness, Connected Near-Bipartiteness, Independent Feedback Vertex Set and Acyclic Vertex Cover on graphs having small dominating sets -- Exactly k MSTs: How many vertices suffice? -- Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs -- Scheduling -- Exact and Approximation Algorithms for the Multi-depot Data Mule Scheduling with Handling Time and Time Span Constraints -- Two Exact Algorithms for the Packet Scheduling Problem -- Improved Scheduling with a Shared Resource -- An Energy-efficient Scheduling Method for Real-time Multi-workflow in Container Cloud -- Set-Related Optimization -- Weakly Nondominated Solutions of Set-Valued Optimization Problems with Variable Ordering Structures in Linear Spaces -- The MaxIS-Shapley Value in Perfect Graphs -- Asteroidal Sets and Dominating Paths -- A Novel Approximation Algorithm for Max-Covering Circle Problem -- GAMA: Genetic algorithm for k-coverage and connectivity with minimum sensor activation in wireless sensor networks -- Simple Heuristics for the Rooted Max Tree Coverage Problem -- Efficient Algorithms for k-Submodular Maximization with the p-system and d-knapsack Constraints -- Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization -- Greedy+Max: An Efficient Approximation Algorithm for $k$-Submodular Knapsack Maximization -- Applied Optimization and Algorithm -- Improved Lower Bound for Estimating the Number of Defective Items -- Popularity on the Roommate Diversity Problem -- On Half Guarding Polygons -- Dynamic Programming for the Fixed Route Hybrid Electric Aircraft Charging Problem -- Algorithms for the Ridesharing with Profit Constraint Problem -- Multi-Candidate Carpooling Routing Problem and Its Approximation Algorithms -- Maximizing Utilitarian and Egalitarian Welfare of Fractional Hedonic Games on Tree-like Graphs -- The Line-constrained Maximum Coverage Facility Location Problem -- Graph Planer and Others -- On Connectedness of Solutions to Integer Linear Systems -- An exact algorithm for the line-constrained bottleneck $k$-Steiner tree problem -- The Longest Subsequence-Repeated Subsequence Problem -- An Approximation Algorithm for Covering Vertices by 4^+-Paths -- V-Words, Lyndon Words and Substring circ-UMFFs -- The Two-Center Problem of Uncertain Points on Trees -- Space-Time Graph Planner for Unsignalized Intersections with CAVs -- The Two Sheriffs Problem: Cryptographic Formalization and Generalization. 330 $aThe two-volume set LNCS 14461 and LNCS 14462 constitutes the refereed proceedings of the 17th International Conference on Combinatorial Optimization and Applications, COCOA 2023, held in Hawaii, HI, USA, during December 15?17, 2023. The 73 full papers included in the proceedings were carefully reviewed and selected from 117 submissions. They were organized in topical sections as follows: Part I: Optimization in graphs; scheduling; set-related optimization; applied optimization and algorithm; Graph planer and others; Part II: Modeling and algorithms; complexity and approximation; combinatorics and computing; optimization and algorithms; extreme graph and others; machine learning, blockchain and others. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14461 606 $aComputer science 606 $aData structures (Computer science) 606 $aInformation theory 606 $aComputer science$xMathematics 606 $aArtificial intelligence 606 $aComputer graphics 606 $aTheory of Computation 606 $aData Structures and Information Theory 606 $aMathematics of Computing 606 $aArtificial Intelligence 606 $aComputer Graphics 615 0$aComputer science. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aComputer science$xMathematics. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 14$aTheory of Computation. 615 24$aData Structures and Information Theory. 615 24$aMathematics of Computing. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 676 $a519.64 702 $aWu$b Weili 702 $aGuo$b Jianxiong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910770270403321 996 $aCombinatorial Optimization and Applications$9772251 997 $aUNINA LEADER 05338nam 22007095 450 001 9910349318203321 005 20200706230421.0 010 $a9783030207908 010 $a3030207900 024 7 $a10.1007/978-3-030-20790-8 035 $a(CKB)4100000009453372 035 $a(DE-He213)978-3-030-20790-8 035 $a(MiAaPQ)EBC5922010 035 $a(PPN)269151699 035 $a(MiAaPQ)EBC31886856 035 $a(Au-PeEL)EBL31886856 035 $a(OCoLC)1122778352 035 $a(EXLCZ)994100000009453372 100 $a20191004d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLinear Time Series with MATLAB and OCTAVE /$fby Víctor Gómez 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XVII, 339 p. 128 illus. in color.) 225 1 $aStatistics and Computing,$x1431-8784 311 08$a9783030207892 311 08$a3030207897 327 $aPreface -- Software Installation -- Stationarity, VARMA and ARIMA Models -- VARMAX and Transfer Function Models -- Unobserved Components in Univariate Series -- Spectral Analysis -- Computing Echelon Forms by Polynomial Methods -- Multivariate Structural Models -- Cointegrated VARMA Models -- Simulation of Common Univariate and Multivariate Models -- The State Space Model -- SSMMATLAB Examples by Subject -- Author Index -- Subject Index. 330 $aThis book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities of each subject from both theoretical and the practical points of view. It also includes numerous examples and real-world applications that demonstrate how to handle different types of time series data. The associated software package, SSMMATLAB, is written in MATLAB and also runs on the free OCTAVE platform. The book focuses on linear time series models using a state space approach, with the Kalman filter and smoother as the main tools for model estimation, prediction and signal extraction. A chapter on state space models describes these tools and provides examples of their use with general state space models. Other topics discussed in the book include ARIMA; and transfer function and structural models; as well as signal extraction using the canonical decomposition in the univariate case, and VAR, VARMA, cointegrated VARMA, VARX, VARMAX, and multivariate structural models in the multivariate case. It also addresses spectral analysis, the use of fixed filters in a model-based approach, and automatic model identification procedures for ARIMA and transfer function models in the presence of outliers, interventions, complex seasonal patterns and other effects like Easter, trading day, etc. This book is intended for both students and researchers in various fields dealing with time series. The software provides numerous automatic procedures to handle common practical situations, but at the same time, readers with programming skills can write their own programs to deal with specific problems. Although the theoretical introduction to each topic is kept to a minimum, readers can consult the companion book ?Multivariate Time Series With Linear State Space Structure?, by the same author, if they require more details. . 410 0$aStatistics and Computing,$x1431-8784 606 $aStatistics 606 $aEconometrics 606 $aComputer software 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aMathematical Software$3https://scigraph.springernature.com/ontologies/product-market-codes/M14042 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 615 0$aStatistics. 615 0$aEconometrics. 615 0$aComputer software. 615 14$aStatistics and Computing/Statistics Programs. 615 24$aEconometrics. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aMathematical Software. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 676 $a519.55 700 $aGómez$b Víctor$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755989 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349318203321 996 $aLinear Time Series with MATLAB and OCTAVE$91732549 997 $aUNINA