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  2. List of open-source software for mathematics - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    The primary difference between a computer algebra system and a traditional calculator is the ability to deal with equations symbolically rather than numerically. The precise uses and capabilities of these systems differ greatly from one system to another, yet their purpose remains the same: manipulation of symbolic equations .

  3. Convex function - Wikipedia

    en.wikipedia.org/wiki/Convex_function

    In mathematics, a real-valued function is called convex if the line segment between any two distinct points on the graph of the function lies above or on the graph between the two points. Equivalently, a function is convex if its epigraph (the set of points on or above the graph of the function) is a convex set.

  4. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    Modeling tools are separate pieces of software that let the user specify an optimization in higher-level syntax. They manage all transformations to and from the user's high-level model and the solver's input/output format. The table below shows a mix of modeling tools (such as CVXPY and Convex.jl) and solvers (such as CVXOPT and MOSEK).

  5. Desmos - Wikipedia

    en.wikipedia.org/wiki/Desmos

    The name Desmos came from the Greek word δεσμός which means a bond or a tie. [6] In May 2022, Amplify acquired the Desmos curriculum and teacher.desmos.com. Some 50 employees joined Amplify. Desmos Studio was spun off as a separate public benefit corporation focused on building calculator products and other math tools. [7]

  6. Convex set - Wikipedia

    en.wikipedia.org/wiki/Convex_set

    The notion of convexity may be generalised to other objects, if certain properties of convexity are selected as axioms. Given a set X, a convexity over X is a collection 𝒞 of subsets of X satisfying the following axioms: [9] [10] [23] The empty set and X are in 𝒞. The intersection of any collection from 𝒞 is in 𝒞.

  7. Convex analysis - Wikipedia

    en.wikipedia.org/wiki/Convex_analysis

    then is called strictly convex. [1]Convex functions are related to convex sets. Specifically, the function is convex if and only if its epigraph. A function (in black) is convex if and only if its epigraph, which is the region above its graph (in green), is a convex set.

  8. Convex curve - Wikipedia

    en.wikipedia.org/wiki/Convex_curve

    A plane curve is the image of any continuous function from an interval to the Euclidean plane.Intuitively, it is a set of points that could be traced out by a moving point. More specifically, smooth curves generally at least require that the function from the interval to the plane be continuously differentiable, and in some contexts are defined to require higher derivative

  9. Jensen's inequality - Wikipedia

    en.wikipedia.org/wiki/Jensen's_inequality

    Jensen's inequality generalizes the statement that a secant line of a convex function lies above its graph. Visualizing convexity and Jensen's inequality. In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function.