A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
Questions on the algorithmic/computational aspects of linear algebra, including the solution of linear systems, least squares problems, eigenproblems, and other such matters.
intended for questions on methods for the (constrained or unconstrained) minimization or maximization of functions.
A means of solving ordinary and partial differential equations. The domain of the problem is broken up into elements, and the solution in each element is expanded in a basis of functions. The Finite …
equations that relate the partial derivatives of a function of more than one variable. This tag is intended for questions on modeling phenomena with PDEs, sol…
Referring to the discretization of derivatives by Finite differences, and its applications to numerical solutions of partial differential equations.
Construction and analysis of algorithms to compute approximate discrete solutions of continuous problems. A canonical example is the approximation of derivatives via difference quotients.
A general purpose high-level programming language that emphasizes ease of code syntax and readability.
a rectangular array of elements (e.q. numbers, symbols, or expressions), arranged in columns and rows.
A description of the specific steps needed to solve a particular problem in an unambiguous way, expressed in an abstract form.
Ordinary Differential Equations (ODEs) contain functions of only one independent variable, and one or more of their derivatives with respect to that variable. This tag is intended for questions on mod…
For questions regarding the choice and/or appropriateness of conditions necessary to model a particular phenomenon with a partial differential equations.
The study of solving computational problems by exploiting the use of multiple processors simultaneously.
the study and implementation of numerical algorithms to solve problems in physics for which a quantitative theory already exists.
Solution of nonlinear systems of equations. The equations might be algebraic or differential equations.
Problems in which an operator or function can be represented with asymptotically less data than the naive representation. Not limited to sparse matrices.
a special set of scalars associated with a linear system of equations (i.e., a matrix equation) that are sometimes also known as characteristic roots, characteristic values (Hoffman an…
Questions about optimization problems subject to additional constraints.
The study of efficient algorithms and data structures to solve various problems involving point sets, line segments, polygons, polyhedra, simplices, etc.
a special case of mathematical optimization where the feasible region is convex and the objective is to either minimize a convex function or maximize a concave function.
the process of mimicking the behaviour of a real physical process or system using a representative model.
A method which produces a sequence of numerical approximations which converges (provided technical conditions are satisfied) to the solution of a problem, generally through repeated applications of so…
Referring to the discretization of partial differential equations using Finite Volume Method.
a vector such that the action of the operator is the same as multiplication by a constant, called the eigenvalue. The eigensystem of an operator is the set of all suc…
Questions about libraries and standalone software designed or well-suited for scientific or numerical calculations.
the process of estimating the values of a function, when the function's values are known only at a particular set of points. Questions on interpolation in one or more dimensions, as w…
a general purpose programming language widely used by the scientific computing community.
Questions related to whether the sequence of iterates generated by an iterative method has one or more limit points, and if those limit points have the correct properties.
an open source suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations.
Questions about the execution speed and memory usage of algorithms, data structures, languages and libraries.