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1. |
Record Nr. |
UNISA996387546803316 |
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Autore |
Binning Hugh <1627-1653.> |
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Titolo |
The common principles of Christian religion, clearly proved, and singularly improved: or, a practical catechism [[electronic resource] ] : Wherein some of the most concerning foundations of our faith are solidly laid down; and that doctrine, which is according to godliness, sweetly, yet pungently pressed home, and most satisfyingly handled. / / By that worthy and faithful servant of Jesus Christ, Mr Hugh Binning, late minister of the gospel at Goven |
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Pubbl/distr/stampa |
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Edinburgh, : Printed by George Swintoun, James Glen, and Thomas Brown, 1671 |
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Edizione |
[The 6. impression corrected and amended.] |
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Descrizione fisica |
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Soggetti |
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Christian life - 17th century |
Christian life |
Christian life - Presbyterian authors |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Leaf preceding title page has on recto letter A surrounded by decorative border, and on verso an imprimatur. |
25 sermons by Hugh Binning. |
Text continuous despite pagination. |
Imperfect: tightly bound with some loss of text. |
Page 236 misnumbered "238"; p.240 misnumbered "250" and p.244-245 misnumbered "246-247". Page numbers repeated in their correct place. |
Reproduction of the original in the National Library of Scotland. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910734870703321 |
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Autore |
Holmes Mark H |
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Titolo |
Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[2nd ed. 2023.] |
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Descrizione fisica |
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1 online resource (563 pages) |
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Collana |
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Texts in Computational Science and Engineering, , 2197-179X ; ; 13 |
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Disciplina |
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Soggetti |
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Mathematics—Data processing |
Mathematical optimization |
Mathematical analysis |
Computational Science and Engineering |
Optimization |
Analysis |
Ciència |
Processament de dades |
Investigació quantitativa |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Preface to Second Edition -- Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization: Regression -- Optimization: Descent Methods -- Data Analysis -- Taylor's Theorem -- Vector and Matrix Summary -- Answers -- References -- Index. |
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Sommario/riassunto |
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This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role |
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of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra. |
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