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2. Linear algebra - Wikipedia

   en.wikipedia.org/wiki/Linear_algebra

   The application of linear algebra in this context is vital for the design and operation of modern power systems, including renewable energy sources and smart grids. Overall, the application of linear algebra in fluid mechanics, fluid dynamics, and thermal energy systems is an example of the profound interconnection between mathematics and ...

3. Linear complementarity problem - Wikipedia

   en.wikipedia.org/wiki/Linear_complementarity_problem

   "The linear complementarity problem, sufficient matrices, and the criss-cross method" (PDF). Linear Algebra and Its Applications. 187: 1–14. doi: 10.1016/0024-3795(93)90124-7. Murty, Katta G. (January 1972). "On the number of solutions to the complementarity problem and spanning properties of complementary cones" (PDF).

4. System of linear equations - Wikipedia

   en.wikipedia.org/wiki/System_of_linear_equations

   Because a solution to a linear system must satisfy all of the equations, the solution set is the intersection of these lines, and is hence either a line, a single point, or the empty set. For three variables, each linear equation determines a plane in three-dimensional space , and the solution set is the intersection of these planes.

5. Cramer's rule - Wikipedia

   en.wikipedia.org/wiki/Cramer's_rule

   In linear algebra, Cramer's rule is an explicit formula for the solution of a system of linear equations with as many equations as unknowns, valid whenever the system has a unique solution. It expresses the solution in terms of the determinants of the (square) coefficient matrix and of matrices obtained from it by replacing one column by the ...

6. Outline of linear algebra - Wikipedia

   en.wikipedia.org/wiki/Outline_of_linear_algebra

   Download as PDF; Printable version; In other projects ... This is an outline of topics related to linear algebra, the branch of mathematics concerning linear ...

7. Matrix analysis - Wikipedia

   en.wikipedia.org/wiki/Matrix_analysis

   In mathematics, particularly in linear algebra and applications, matrix analysis is the study of matrices and their algebraic properties. [1] Some particular topics out of many include; operations defined on matrices (such as matrix addition, matrix multiplication and operations derived from these), functions of matrices (such as matrix exponentiation and matrix logarithm, and even sines and ...

8. Numerical linear algebra - Wikipedia

   en.wikipedia.org/wiki/Numerical_linear_algebra

   For many problems in applied linear algebra, it is useful to adopt the perspective of a matrix as being a concatenation of column vectors. For example, when solving the linear system =, rather than understanding x as the product of with b, it is helpful to think of x as the vector of coefficients in the linear expansion of b in the basis formed by the columns of A.

9. Spectral theory - Wikipedia

   en.wikipedia.org/wiki/Spectral_theory

   It is a result of studies of linear algebra and the solutions of systems of linear equations and their generalizations. [2] The theory is connected to that of analytic functions because the spectral properties of an operator are related to analytic functions of the spectral parameter.