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.

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Questions on the algorithmic/computational aspects of linear algebra, including the solution of linear systems, least squares problems, eigenproblems, and other such matters.
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intended for questions on methods for the (constrained or unconstrained) minimization or maximization of functions.
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Questions about the numerical programming language MATLAB.
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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…
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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 …
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A description of the specific steps needed to solve a particular problem in an unambiguous way, expressed in an abstract form.
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Referring to the discretization of derivatives by Finite differences, and its applications to numerical solutions of partial differential equations.
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Construction and analysis of algorithms to compute approximate discrete solutions of continuous problems. A canonical example is the approximation of derivatives via difference quotients.
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The study of the properties of fluids and gases in motion
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A general purpose high-level programming language that emphasizes ease of code syntax and readability.
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In linear algebra, an $m$x$n$ matrix maps vectors from space $R^m$ to $R^n$. Matrices are distinguished from multidimensional arrays, which is a general term for any rectangular array of informat…
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Widely used as a synonym for numerical-analysis, in particular in the German speaking community.
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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…
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The study of solving computational problems by exploiting the use of multiple processors simultaneously.
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Referring to methods for solving linear systems of equations.
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A powerful object oriented programming language.
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For questions regarding the choice and/or appropriateness of conditions necessary to model a particular phenomenon with a partial differential equations.
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the process of mimicking the behaviour of a real physical process or system using a representative model.
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Problems in which an operator or function can be represented with asymptotically less data than the naive representation. Not limited to sparse matrices.
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Questions about libraries and standalone software designed or well-suited for scientific or numerical calculations.
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for requests for books, papers, and citations.
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The study of efficient algorithms and data structures to solve various problems involving point sets, line segments, polygons, polyhedra, simplices, etc.
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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.
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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…
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an open source suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations.
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a rectangular array of elements (e.q. numbers, symbols, or expressions), arranged in columns and rows.
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a general purpose programming language widely used by the scientific computing community.
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Solution of nonlinear systems of equations. The equations might be algebraic or differential equations.
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Questions about the execution speed and memory usage of algorithms, data structures, languages and libraries.
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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…
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Questions about optimization problems subject to additional constraints.
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Referring to the discretization of partial differential equations using Finite Volume Method.
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the study and implementation of numerical algorithms to solve problems in physics for which a quantitative theory already exists.
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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.
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The study of the propagation of errors in a numerical algorithm.