Results 241 to 250 of about 610,690 (303)

Unravelling the Holomorphic Twist: Central Charges. [PDF]

Commun Math Phys
Bomans P, Wu J.
europepmc   +1 more source

Design of Partial Mueller-Matrix Polarimeters for Application-Specific Sensors. [PDF]

Sensors (Basel)
Hoover BG, Takane MY.
europepmc   +1 more source

Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis. [PDF]

SN Comput Sci
Lopuhaä-Zwakenberg M.
europepmc   +1 more source

Quantum Shannon Information Theory-Design of Communication, Ciphers, and Sensors. [PDF]

Entropy (Basel)
Hirota O.
europepmc   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

Mach Learn Sci Technol
Papillon M, Sanborn S, Mathe J, Cornelis L, Bertics A, Buracas D, J Lillemark H, Shewmake C, Dinc F, Pennec X, Miolane N.   +10 more
europepmc   +1 more source

<i>Ab initio</i> electronic structure calculations of lanthanide single-molecule magnets; a practical guide.

Chem Soc Rev
Chilton NF.
europepmc   +1 more source

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Student learning of basis, span and linear independence in linear algebra

International Journal of Mathematical Education in Science and Technology, 2010
One of the earlier, more challenging concepts in linear algebra at university is that of basis. Students are often taught procedurally how to find a basis for a subspace using matrix manipulation, but may struggle with understanding the construct of basis, making further progress harder.
Sepideh Stewart, Michael O.J. Thomas
openaire   +2 more sources

Numerical Linear Algebra

Fundamentals of Numerical Mathematics for Physicists and Engineers, 2020
Given some m×m matrix A, suppose we reduce A to Hessenberg form H by an orthogonal matrix Q. Then, AQ = QH. Let Qn be the matrix composed of the first n columns of Q.
William Layton, Myron Sussman
semanticscholar   +1 more source

Randomized linear algebra for model reduction—part II: minimal residual methods and dictionary-based approximation

Advances in Computational Mathematics, 2019
A methodology for using random sketching in the context of model order reduction for high-dimensional parameter-dependent systems of equations was introduced in Balabanov and Nouy (Part I; Advances in Computational Mathematics 45:2969–3019, 2019 ...
O. Balabanov, A. Nouy
semanticscholar   +1 more source

GPU Linear Algebra Libraries and GPGPU Programming for Accelerating MOPAC Semiempirical Quantum Chemistry Calculations

Journal of Chemical Theory and Computation, 2012
Julio Daniel Carvalho Maia, Sidney Ramos Santana, Gerd B Rocha   +2 more
exaly   +2 more sources