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	Browse All Reviews > Computer Applications (J) > Physical Sciences And Engineering (J.2) > Mathematics And Statistics (J.2...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 76 Reviews about "Mathematics And Statistics (J.2...)": Date Reviewed    Integration with complex numbers: a primer on complex analysis McMaster B., McCluskey A., Oxford University Press, Oxford, UK, 2022. 288 pp.  Type: Book (978-0-192846-43-3) Complex analysis is a rich subject that can bewilder the beginning student with the nonintuitive behavior of its objects and the wide range of applications to which it has been applied. This highly readable introduction engages only a severely res... Feb 9 2023   Linear algebra for computational sciences and engineering (2nd ed.) Neri F., Springer International Publishing, New York, NY, 2019. 574 pp.  Type: Book (978-3-030213-20-6) This is supposedly an improved and expanded version of the first edition, which I have not seen, so I am considering this text purely on its individual merits.... Aug 10 2021   Profiles of separations: in graphs, matroids, and beyond Diestel R., Hundertmark F., Lemanczyk S. Combinatorica 39(1): 37-75, 2019.  Type: Article A matroid is a structure of finite nonempty sets of subsets that apply the hereditary property. Here, the authors deploy tree decomposition to distinguish the tangles of a finite graph or matroid. They also apply the Gomory-Hu theorem ... Feb 23 2021   Reverse mathematics: proofs from the inside out Stillwell J., PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2018. 200 pp.  Type: Book Reverse mathematics “seeks the axioms needed to prove given theorems.” The work of Emil Post and Kurt Gödel, in the 1920s and 1930s, permanently dashed the hope that axiom systems could formally generate al... Nov 23 2020   Abstract algebra with applications Terras A., Cambridge University Press, New York, NY, 2019. 328 pp.  Type: Book (978-1-107164-07-9) Any experienced teacher of a classical field of mathematics who wishes to publish a new textbook in such an area has to figure out how to present a topic with a long tradition to a new generation of readers. One approach is to present ... Sep 18 2020   Calculus for computer graphics (2nd ed.) Vince J., Springer International Publishing, New York, NY, 2019. 303 pp.  Type: Book (978-3-030113-75-9) The book’s 16 chapters cover a broad range of calculus topics. As mentioned by the author, compared to the previous edition, this book “incorporates three extra chapters.”... Oct 1 2019   Calendrical calculations: the ultimate edition (4th ed.) Reingold E., Dershowitz N., Cambridge University Press, New York, NY, 2018. 662 pp.  Type: Book (978-1-107683-16-7) Calendrical computation is motivated by a collision between incommensurability and importance. The month (the time from one new moon to another) is not an integral number of days, and the year (the time between successive spring equino... Jul 30 2019    Millions, billions, zillions: defending yourself in a world of too many numbers Kernighan B., PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2018. 176 pp.  Type: Book (978-0-691182-77-3) This book is simultaneously entertaining, instructive (one might say educational), and worrying. After an (important) opening chapter, the author analyzes a statement from Newsweek that the US should tap into the Strategic Petro... Jun 4 2019   Imaginary mathematics for computer science Vince J., Springer International Publishing, New York, NY, 2018. 301 pp.  Type: Book (978-3-319946-36-8) This interesting book is very easy to read and understand. While the topics are not new, they are explained in lucid terms for anyone who is interested in sophisticated mathematics. My only quarrel concerns the title: the included math... Jun 4 2019   Matrix algebra: theory, computations and applications in statistics (2nd ed.) Gentle J., Springer International Publishing, New Yokr, NY, 2017. 648 pp.  Type: Book (978-3-319648-66-8), Reviews: (2 of 2) Business and industry leaders are often faced with discussions about the future of artificial intelligence (AI), machine learning, and data science. Similarly, they often engage in complex problem solving, for example, computer vision ... Nov 9 2018       Display 510152550100 per page
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