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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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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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 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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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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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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Widely used as a synonym for numerical-analysis, in particular in the German speaking community.
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The study of solving computational problems by exploiting the use of multiple processors simultaneously.
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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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Referring to methods for solving linear systems of equations.
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A powerful object oriented programming language.
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Questions about libraries and standalone software designed or well-suited for scientific or numerical calculations.
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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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the process of mimicking the behaviour of a real physical process or system using a representative model.
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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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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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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 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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Questions about the execution speed and memory usage of algorithms, data structures, languages and libraries.
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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 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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a general purpose programming language widely used by the scientific computing community.
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a rectangular array of elements (e.q. numbers, symbols, or expressions), arranged in columns and rows.
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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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Referring to optimization problems that consist only of linear constraints and a linear objective function.
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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…
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the constrained optimization (minimization, maximization) of nonlinear functions.