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Lakshmivarahan, S.
University of Oklahoma
Norman, Oklahoma
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Advances in data science
Demir I., Lou Y., Wang X., Welker K., Springer International Publishing, Cham, Switzerland, 2021. 384 pp. Type: Book (9783030798901)
Advances in data science
, published as volume 26 in Springer’s “Association for Women in Mathematics” series, summarizes the results from two related workshopsthe first one held at the Institute for Computational an...
Feb 21 2023
Foundations of computational imaging: a modelbased approach
Bouman C., SIAM, Philadelphia, PA, 2022. 349 pp. Type: Book (1611977126)
This attractively titled book deals with the process of creating images using raw noisy data from unknown sources such as a black hole, for example. This book arose out of the notes used for a graduatelevel course on this topic for over two decad...
Dec 30 2022
Social big data analytics: practices, techniques, and applications
AbuSalih B., Wongthongtham P., Zhu D., Yan Chan K., Rudra A., Springer International Publishing, Cham, Switzerland, 2021. 228 pp. Type: Book (9783030686505)
Thanks to the advances in wireless sensor communication, largescale storage, and computing technologies, those who can afford to be in one or more of the available platformsthe Internet, WhatsApp, or Twitter, to name a feware connec...
Nov 8 2022
Mathematical foundations of big data analytics
Shikhman V., Müller D., Springer International Publishing, New York, NY, 2021. 288 pp. Type: Book (9783662625200), Reviews: (1 of 2)
Mathematical foundations of big data analytics
is a very welcome and timely addition to the growing area of big data analytics. The authors developand strictly follow in each of the nine chaptersa template ...
Jul 5 2021
Computational methods for deep learning: theoretic, practice and applications
Yan W., Springer International Publishing, Cham, Switzerland, 2021. 211 pp. Type: Book (9783030610807), Reviews: (3 of 3)
Computational methods for deep learning
is written for the typical secondyear graduate student at a US university, working in this area for his/her PhDlevel dissertation research on the application of various manifestations of...
Apr 23 2021
Computational methods for deep learning: theoretic, practice and applications
Yan W., Springer International Publishing, Cham, Switzerland, 2021. 211 pp. Type: Book (9783030610807), Reviews: (1 of 3)
Computational methods for deep learning
is written for the typical secondyear graduate student at a US university, working in this area for his/her PhDlevel dissertation research on the application of various manifestations of...
Apr 23 2021
Computational methods for deep learning: theoretic, practice and applications
Yan W., Springer International Publishing, Cham, Switzerland, 2021. 211 pp. Type: Book (9783030610807), Reviews: (2 of 3)
Computational methods for deep learning
is written for the typical secondyear graduate student at a US university, working in this area for his/her PhDlevel dissertation research on the application of various manifestations of...
Apr 23 2021
Number theory for computing
Yan S., SpringerVerlag New York, Inc., Secaucus, NJ, 2002. 445 pp. Type: Book (9783540430728)
This is an excellent and timely addition to the growing body of literature on computational number theory. It has a very pleasant mix of basic theory, numerous examples that supplement the theory, and computational insights that natur...
Oct 29 2002
MacroStar Networks: Efficient LowDegree Alternatives to Star Graphs
Yeh C., Varvarigos E. IEEE Transactions on Parallel and Distributed Systems 9(10): 9871003, 1998. Type: Article
This paper introduces an extension of star graphs, called macrostar graphs, based on an interesting combinatorial paradigm. The authors show that the graphs in this class have sublogarithmic diameter, which is asymptotically optimal. ...
May 1 1999
Foundations of algorithms
Neapolitan R., Naimipour K., D. C. Heath and Company, Lexington, MA, 1996. Type: Book (9780669352986)
By its very nature, the study of algorithms is quite mathematical. While there may not be any agreement about the prerequisites for a first course in algorithms at the advanced undergraduate level, I believe the usual calculus sequence...
Mar 1 1998
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