1. Linear Algebra Appl.

2. Automatically Tuned Linear Algebra Software (ATLAS) is a software library for linear algebra.

3. Algebra and Number Theory; Linear Algebra

4. Oh, who cares about linear algebra or differential?

5. refblas3 -- Basic Linear Algebra Subroutines 3, shared library.

6. Linear Algebra and Statistics is useful but not required

7. Well, you'll probably place In fenton's linear algebra class then today.

8. She is also the Associate Editor of Linear Algebra and its Applications.

9. I mean, as great as studying economic structure using linear algebra can be.

10. I mean, as great as studying economic structure using linear algebra can be

11. The Matrix Template Library (MTL) is a linear algebra library for C++ programs.

12. Linear algebra, FFT & convolution, Image files, 3D array handling, and Numerical data files.

13. Cuter is an open source testing environment for optimization and linear algebra solvers

14. There's even a branch of mathematics that uses matrices constantly, called Linear Algebra.

15. It turns out that the best notation is the notation of linear algebra.

16. Course Name (Linear Algebra with Applications ) Code 136.235 Description 136.235 Linear Algebra with Applications 6 credit hours Vector spaces, linear transformations, inner product spaces, eigenvalues and eigenvectors, orthogonal and Hermitian matrices, and applications.

17. Would any of you complain if this was the case about doing linear algebra?

18. I have linear algebra, science, physics, even nowadays, chemistry and biology, as you've seen.

19. Use the common notation for linear algebra, arithmetics or the solving of equation systems.

20. I have linear algebra, science, physics -- even, nowadays, chemistry and biology, as you've seen.

21. The observables are computed through linear algebra from the Fourier transform of direct images.

22. Internally, both MATLAB and NumPy rely on BLAS and LAPACK for efficient linear algebra computations.

23. How can first years students learn to think and act mathematically by learning Linear Algebra?

24. This modified method of completing is then compared with other direct methods of linear algebra.

25. The book clearly shows how Convexity links many different topics in mathematics, from linear algebra to analysis

26. In linear algebra, the singular-value decomposition (SVD) is a factorization of a real or complex matrix.

27. Course Name (Vectorial Geometry and Linear Algebra ) Code 136.130F Description This course is offered only in French.

28. However, for very large or infinite matrices, linear algebra is often inadequate to solve the associated problems.

29. The main use of Givens rotations in numerical linear algebra is to introduce zeros in vectors or matrices.

30. Stated in terms of numerical linear algebra, we convert M to an orthogonal matrix, Q, using QR decomposition.

31. Bilinear (not comparable) (linear algebra, of a function in two variables) Linear (preserving linear combinations) in each variable.

32. In the abstract formulation of linear algebra, matrices are replaced with linear transformations of finite-dimensional vector spaces.

33. This replaces the numerical operations, in that the linear algebra method known as Gaussian elimination becomes its interval version.

34. This makes changes of units correspond to translations, and reduces the proof to a simple problem in linear algebra.

35. In linear algebra and the theory of matrices, the Schur complement of a block matrix is defined as follows.

36. It can calculate linear algebra operations as rapidly as possible, although the matrix is represented by slow liquid crystal fields.

37. My target Audience took linear algebra in university, but many members of the team need a refresher on matrix multiplication.

38. Although it still uses equations to characterize figures, it also uses other sophisticated techniques such as functional analysis and linear algebra.

39. As an alternative to modified Newton methods, iteration schemes, which sacrifice superlinear convergence for reduced linear algebra costs, have been proposed.

40. Invariant theory of infinite groups is inextricably linked with the development of linear algebra, especially, the theories of quadratic forms and determinants.

41. The article focuses on the prerequisites that are needed for a successful solution of tasks from the fields of calculus and linear algebra.

42. Apply linear Algebra to solve systems of linear equations, find paths in graph theory, and map rotations of points in space using matrix operations

43. Hermann Grassmann was one of the more advanced innovators with his anticipation of linear algebra and multilinear algebra that he called "Extension theory" (Ausdehnungslehre).

44. It may be expressed in several ways, as a theorem of linear algebra, a theorem of integral equations, or as a theorem on Fredholm operators.

45. The paper describes a high level interactive conversational language L-A-S (Linear Algebra and Systems) used in analysis and design of linear control systems.

46. In linear algebra terms, the use of a block matrix corresponds to having a linear mapping thought of in terms of corresponding 'bunches' of basis vectors.

47. In linear algebra, a convex cone is a subset of a vector space over an ordered field that is closed under linear combinations with positive coefficients.

48. In functional analysis and linear algebra the spectral theorem establishes conditions under which an operator can be expressed in simple form as a sum of simpler operators.

49. abstract algebra , where algebraic structures such as fields, groups , and rings are axiomatically defined and investigated. The specific properties of vector spaces are studied in linear algebra .

50. Calibration and analytical measurements in spectrometric multicomponent analysis can be solved by linear algebra supposing the observed values being a homogenous linear function of the expected quantities.

51. Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

52. I think one reason for the name is that Adjoint refers to the transpose in linear algebra, and \lambda(t) is a row vector or equivalently a transposed column vector

53. The over 1000 functions provided by GSL cover areas like random number generation, fast Fourier transforms (FFT), histograms, interpolation, Monte Carlo integration, functions for vectors and matrices, permutations or linear algebra.

54. ND4J works atop so-called Backends, or linear-algebra libraries, such as Native nd4j-native and nd4j-cuda-10.2 (GPUs), which you can select by pasting the right dependency into your project’s POM.xml file

55. An optical vector multiplier can perform linear algebra calculations by using electro-optical modulators of sandwich-type construction or in liquid crystal fields such as occur, inter alia, in the case of neural networks.

56. In numerical linear algebra, the tridiagonal matrix algorithm, also known as the Thomas algorithm (named after Llewellyn Thomas), is a simplified form of Gaussian elimination that can be used to solve tridiagonal systems of equations.

57. Source: The expenditure figure for the independent Evaluation Office was generated from Automatically Tuned Linear Algebra Software (ATLAS) by the Division of Management and Administration, and figures for decentralized evaluations were compiled by the independent Evaluation Office on the basis of inputs from field offices.

58. Characteristic (algebra) of a ring, the smallest common cycle length of the ring's addition operation Characteristic function, usually the indicator function of a subset, though the term has other meanings in specific domains Characteristic polynomial, a polynomial associated to a square matrix in linear algebra

59. Armadillo is a high quality linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use Provides high-level syntax and functionality deliberately similar to Matlab Useful for algorithm development directly in C++, or quick conversion of research code into production environments