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2. Linear programming - Wikipedia

   en.wikipedia.org/wiki/Linear_programming

   A WYSIWYG math editor. It has functions for solving both linear and nonlinear optimization problems. Mathematica: A general-purpose programming-language for mathematics, including symbolic and numerical capabilities. MOSEK: A solver for large scale optimization with API for several languages (C++, java, .net, Matlab and python). NAG Numerical ...

3. List of unsolved problems in mathematics - Wikipedia

   en.wikipedia.org/wiki/List_of_unsolved_problems...

   Many mathematical problems have been stated but not yet solved. These problems come from many areas of mathematics, such as theoretical physics, computer science, algebra, analysis, combinatorics, algebraic, differential, discrete and Euclidean geometries, graph theory, group theory, model theory, number theory, set theory, Ramsey theory, dynamical systems, and partial differential equations.

4. Linear least squares - Wikipedia

   en.wikipedia.org/wiki/Linear_least_squares

   Linear least squares (LLS) is the least squares approximation of linear functions to data. It is a set of formulations for solving statistical problems involved in linear regression, including variants for ordinary (unweighted), weighted, and generalized (correlated) residuals.

5. System of linear equations - Wikipedia

   en.wikipedia.org/wiki/System_of_linear_equations

   When the equations are independent, each equation contains new information about the variables, and removing any of the equations increases the size of the solution set. For linear equations, logical independence is the same as linear independence. The equations x − 2y = −1, 3x + 5y = 8, and 4x + 3y = 7 are linearly dependent. For example ...

6. Equation solving - Wikipedia

   en.wikipedia.org/wiki/Equation_solving

   An example of using Newton–Raphson method to solve numerically the equation f(x) = 0. In mathematics, to solve an equation is to find its solutions, which are the values (numbers, functions, sets, etc.) that fulfill the condition stated by the equation, consisting generally of two expressions related by an equals sign.

7. Numerical methods for linear least squares - Wikipedia

   en.wikipedia.org/wiki/Numerical_methods_for...

   Orthogonal decomposition methods of solving the least squares problem are slower than the normal equations method but are more numerically stable because they avoid forming the product X T X. The residuals are written in matrix notation as = ^.