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  1-10 of 94 Reviews about "Matlab (G.4...)": Date Reviewed
  Analysis for computer scientists: foundations, methods, and algorithms (2nd ed.)
Oberguggenberger M., Ostermann A.,  Springer International Publishing, New York, NY, 2018. 392 pp. Type: Book (978-3-319911-54-0)

In the title, “analysis” means “mathematical analysis” in the sense of Cauchy and Weierstrass, for example, ε-δ analysis. Chapters 1 through 4 are basically calculus (including trigonometry and complex numbers) an...

Oct 14 2019
  Linear programming using MATLAB
Ploskas N., Samaras N.,  Springer International Publishing, New York, NY, 2017. 637 pp. Type: Book (978-3-319659-17-6)

Linear programming (LP) is an operational research method for finding the optimal values of a linear objective function under linear constraints. LP is recognized as one of the top ten algorithms of our time. LP problems extend not only to scienti...

Nov 7 2018
  Introduction to modeling and simulation with MATLAB and Python
Gordon S., Guilfoos B.,  Chapman&Hall/CRC, Boca Raton, FL, 2017. 210 pp. Type: Book (978-1-498773-87-4)

This is a very unusual book. It is concise and well written on the one hand, with bewildering content on the other. If one steps back far enough, the book could be described as a tutorial on writing programs for modeling and simulation. And that w...

Oct 18 2018
  MATLAB machine learning
Paluszek M., Thomas S.,  Apress, New York, NY, 2016. 326 pp. Type: Book (978-1-484222-49-2)

Machine learning, a branch of artificial intelligence (AI) research, is accelerating human-machine interactions in this developing world. MATLAB is a mathematical tool aiding in such interactions. This book presents MATLAB implementation in machin...

Oct 6 2017
  A computational introduction to digital image processing (2nd ed.)
McAndrew A.,  Chapman & Hall/CRC, Boca Raton, FL, 2016. 551 pp. Type: Book (978-1-482247-32-9)

Many books have been published on digital image processing. Alasdair McAndrew’s A computational introduction to digital image processing is a relevant choice for all those who would like to enter the field from a practical perspective...

Aug 3 2017
  Lessons learned in the design and delivery of an introductory programming MOOC
Fitzpatrick J., Lédeczi Á., Narasimham G., Lafferty L., Labrie R., Mielke P., Kumar A., Brady K.  SIGCSE 2017 (Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, Seattle, WA,  Mar 8-11, 2017) 219-224, 2017. Type: Proceedings

A key point of this paper is that the massive open online course (MOOC) was based on an existing face-to-face MATLAB course delivered over 15 years to some 2,500 students (very similar to my experience). The authors believe this is key to the succ...

Jun 26 2017
  Signals and systems: a primer with MATLAB
Sadiku M., Ali W.,  CRC Press, Inc., Boca Raton, FL, 2015. 437 pp. Type: Book (978-1-482261-51-6)

Signals are physical manifestations of underlying processes or phenomena. The evolution of a physical process is captured in the form of a signal, which is mathematically represented as a function of an independent variable. For example, the tempe...

May 25 2017
  Programming for computations -- MATLAB/Octave
Linge S., Langtangen H.,  Springer International Publishing, New York, NY, 2016. 216 pp. Type: Book (978-3-319324-51-7)

The title suggests the book is about MATLAB programming, and it is. It’s also about numerical analysis. It’s a textbook for a numerical analysis course that integrates MATLAB programming as its method for solving numerical analysis pro...

Feb 22 2017
  Automatic generation of parallel C code for stencil applications written in MATLAB
Spazier J., Christgau S., Schnor B.  ARRAY 2016 (Proceedings of the 3rd ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming, Santa Barbara, CA,  Jun 14, 2016) 47-54, 2016. Type: Proceedings

The authors present StencilPaC, described in the abstract as “an automatic translation from a MATLAB subset into efficient parallelized C code for different architectures: multicores, compute clusters, and GPGPUs.” The paper itself is ...

Aug 2 2016
  MATLAB recipes for earth sciences
Trauth M.,  Springer Publishing Company, Incorporated, New York, NY, 2015. 427 pp. Type: Book (978-3-662462-43-0)

Data analysis using MATLAB in the earth sciences is a much-explored area for geological scientists. For more than two decades, geological scientists have been using MATLAB to analyze most of the earth science data. This book uses MATLAB for the re...

Sep 24 2015
 
 
 
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