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  Browse All Reviews > Mathematics Of Computing (G) > Numerical Analysis (G.1) > Numerical Linear Algebra (G.1.3)  
 
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  1-10 of 227 Reviews about "Numerical Linear Algebra (G.1.3)": Date Reviewed
  Matrix analysis and applied linear algebra (2nd ed.)
Meyer C. (ed), SIAM, New York, NY, 2023. 991 pp.  Type: Book (1611977436)

This expanded and revamped second edition follows an excellent first edition, and is the culmination of classroom experiences since the first edition’s publication more than two decades ago. While the two editions share the same title, this ...

Dec 4 2023
  Cyber-physical systems: a model-based approach
Taha W., Taha A., Thunberg J., Springer International Publishing, Cham, Switzerland, 2021. 187 pp.  Type: Book (978-3-030360-73-3)

Cyber-physical systems: a model-based approach is for anyone interested in becoming a cyber-physical system designer or innovator of, for example, machines, manufactured products, processes, or the combination of such things. Th...

Aug 4 2022
  Protein fold recognition based on sparse representation based classification
Yan K., Xu Y., Fang X., Zheng C., Liu B. Artificial Intelligence in Medicine 79 1-8, 2017.  Type: Article

It is not reasonable to expect the sequence of amino acids to predict folding because many proteins with similar foldings have quite different sequences. To address this issue, this paper describes how sparse representation classificat...

Dec 18 2017
  Numerically aware orderings for sparse symmetric indefinite linear systems
Hogg J., Scott J., Thorne S. ACM Transactions on Mathematical Software 44(2): 1-22, 2017.  Type: Article

The LDLT decomposition of a real symmetric matrix where L is lower triangular with unit diagonal and D diagonal except for 2x2 blocks is a challenge when the matrix is...

Nov 16 2017
  Linear algebra for computational sciences and engineering
Neri F., Springer International Publishing, New York, NY, 2016. 464 pp.  Type: Book (978-3-319403-39-7)

Algebra is applied in many computing technologies and related fields (such as, for instance, networking). For me, the closest examples contain: quantum computing, network routing, and error-control coding. In this book, Ferrante Neri e...

May 24 2017
   Bayesian multi-tensor factorization
Khan S., Leppäaho E., Kaski S. Machine Learning 105(2): 233-253, 2016.  Type: Article

Data mining is increasingly facing the problem of extracting new knowledge from experimental data collected from complex phenomena. To extract hidden information, such datasets can be decomposed into the components that underlie them. ...

Feb 23 2017
  On BLAS level-3 implementations of common solvers for (quasi-) triangular generalized Lyapunov equations
Köhler M., Saak J. ACM Transactions on Mathematical Software 43(1): 1-23, 2016.  Type: Article

Each of the generalized Lyapunov matrix equations can be seen simply as a system of linear equations in the elements of the unknown matrix X. For numerical solutions, however, it is usually kept in its matrix form. T...

Oct 20 2016
  Commutative algebra: constructive methods finite projective modules
Lombardi H., Quitt C., Springer Publishing Company, Incorporated, New York, NY, 2015. 996 pp.  Type: Book (978-9-401799-43-0)

According to the book’s webpage, “This book offers a detailed introduction to various basic concepts, methods, principles, and results of commutative algebra. It takes a constructive viewpoint in commutative algebra...

Feb 24 2016
  Work-efficient matrix inversion in polylogarithmic time
Sanders P., Speck J., Steffen R. ACM Transactions on Parallel Computing 2(3): 1-29, 2015.  Type: Article

This paper is best motivated by the following observation (on p. 2). Currently, the fastest machine in the TOP500 list is rated at 16.3 peta floating-point operations per second (PFLOPS), which is achieved on matrices of dimension 12,6...

Dec 9 2015
   Quantum algorithms via linear algebra: a primer
Lipton R., Regan K., The MIT Press, Cambridge, MA, 2014. 208 pp.  Type: Book (978-0-262028-39-4)

To most people, the mysterious word “quantum” often means complex mathematics and advanced physics. This introductory book assumes basic linear algebra and no knowledge of quantum mechanics. The authors did an excel...

May 19 2015
 
 
 
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