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QUADRATIC VARIATION

  • Quadratic variation
  • Quantity defined for a stochastic process

    mathematics, quadratic variation is used in the analysis of stochastic processes such as Brownian motion and other martingales. Quadratic variation is just

    Quadratic variation

    Quadratic_variation

  • Itô calculus
  • Calculus of stochastic differential equations

    formula. These differ from the formulas of standard calculus, due to quadratic variation terms. This can be contrasted to the Stratonovich integral as an

    Itô calculus

    Itô calculus

    Itô_calculus

  • Itô's lemma
  • Identity in Itô calculus analogous to the chain rule

    {\displaystyle (dB_{t})^{2}} is O ( d t ) {\displaystyle O(dt)} (due to the quadratic variation of a Wiener process which says B t 2 = O ( t ) {\displaystyle B_{t}^{2}=O(t)}

    Itô's lemma

    Itô's_lemma

  • P-variation
  • corresponds to the concept of quadratic variation, which is different from 2-variation. One can interpret the p-variation as a parameter-independent version

    P-variation

    P-variation

  • Wiener process
  • Stochastic process generalizing Brownian motion

    martingale W with W0 = 0 is a Wiener process if and only if its quadratic variation is [W, W]t = t (which means that Wt2 − t is a (local) martingale)

    Wiener process

    Wiener process

    Wiener_process

  • Realized variance
  • RV}}} . Under ideal circumstances the RV consistently estimates the quadratic variation of the price process that the returns are computed from. For instance

    Realized variance

    Realized_variance

  • Quadratic
  • Topics referred to by the same term

    an n-dimensional square matrix Quadratic mean, the square root of the mean of the squares of the data Quadratic variation, in stochastics, useful for the

    Quadratic

    Quadratic

  • Semimartingale
  • Type of stochastic process

    consequence of the integration by parts formula for the Itō integral. The quadratic variation exists for every semimartingale. The class of semimartingales is

    Semimartingale

    Semimartingale

  • Total variation
  • Measure of local oscillation behavior

    Chan 1998). Bounded variation p-variation Total variation diminishing Total variation denoising Quadratic variation Total variation distance of probability

    Total variation

    Total_variation

  • Calculus of variations
  • Differential calculus on function spaces

    The first variation is defined as the linear part of the change in the functional, and the second variation is defined as the quadratic part. For example

    Calculus of variations

    Calculus_of_variations

  • Hilbert space
  • Type of vector space in math

    progressively measurable processes with respect to the martingale (using the quadratic variation of the martingale as the measure). The Itô integral can be constructed

    Hilbert space

    Hilbert space

    Hilbert_space

  • Quadratic programming
  • Solving an optimization problem with a quadratic objective function

    Quadratic programming (QP) is the process of solving certain mathematical optimization problems involving quadratic functions. Specifically, one seeks

    Quadratic programming

    Quadratic_programming

  • Rama Cont
  • Iranian mathematician (born 1972)

    Rama (2017). "Pathwise integration with respect to paths of finite quadratic variation". Journal de Mathématiques Pures et Appliquées. 107 (6): 737–757

    Rama Cont

    Rama Cont

    Rama_Cont

  • Doléans-Dade exponential
  • Unique strong solution of a stochastic differential equation

    by comparison with the case where X has finite variation due to the existence of the quadratic variation term [X] in the solution. Stochastic logarithm

    Doléans-Dade exponential

    Doléans-Dade_exponential

  • Bounded variation
  • Real function with finite total variation

    Riemann–Stieltjes integral Total variation Quadratic variation p-variation Aizik Isaakovich Vol'pert Total variation denoising Total variation diminishing Thomas W

    Bounded variation

    Bounded_variation

  • Dubins–Schwarz theorem
  • {\displaystyle M_{0}=0} . ⟨ M ⟩ {\displaystyle \langle M\rangle } be the quadratic variation. Let M ∈ M 0 , loc c {\displaystyle M\in {\mathcal {M}}_{0,\operatorname

    Dubins–Schwarz theorem

    Dubins–Schwarz_theorem

  • Girsanov theorem
  • Theorem on changes in stochastic processes

    {1}{2}}[X]_{t}\right),} and [ X ] t {\displaystyle [X]_{t}} denotes the quadratic variation of the process X. If Z t {\displaystyle Z_{t}} is a martingale then

    Girsanov theorem

    Girsanov theorem

    Girsanov_theorem

  • Brownian motion
  • Random motion of particles suspended in a fluid

    process is an almost surely continuous martingale with W0 = 0 and quadratic variation [ W t , W t ] = t {\displaystyle [W_{t},W_{t}]=t} . A third characterisation

    Brownian motion

    Brownian motion

    Brownian_motion

  • Chain rule
  • Formula in calculus

    dependence on the second derivative is a consequence of the non-zero quadratic variation of the stochastic process, which broadly speaking means that the

    Chain rule

    Chain_rule

  • Stochastic quantum mechanics
  • Interpretation of quantum mechanics

    and the fact that C {\displaystyle C} has finite variation, one finds that the quadratic variation of X {\displaystyle X} and Y {\displaystyle Y} is

    Stochastic quantum mechanics

    Stochastic_quantum_mechanics

  • Geometric Brownian motion
  • Continuous stochastic process

    dS_{t}} where d S t d S t {\displaystyle dS_{t}\,dS_{t}} is the quadratic variation of the SDE. d S t d S t = σ 2 S t 2 d W t 2 + 2 σ S t 2 μ d W t d

    Geometric Brownian motion

    Geometric Brownian motion

    Geometric_Brownian_motion

  • Kunita–Watanabe inequality
  • N\rangle _{s}}}} where the angled brackets indicates the quadratic variation and quadratic covariation operators. The integrals are understood in the

    Kunita–Watanabe inequality

    Kunita–Watanabe_inequality

  • Diffusion process
  • Solution to a stochastic differential equation

    representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    Diffusion process

    Diffusion_process

  • Local time (mathematics)
  • Stochastic process

    is the Dirac delta function and [ B ] {\displaystyle [B]} is the quadratic variation. It was introduced by Paul Lévy. The basic idea is that L x ( t )

    Local time (mathematics)

    Local time (mathematics)

    Local_time_(mathematics)

  • Quadratic knapsack problem
  • forms the 0-1 quadratic knapsack problem, which was first discussed by Gallo et al. The 0-1 quadratic knapsack problem is a variation of the knapsack

    Quadratic knapsack problem

    Quadratic_knapsack_problem

  • Jump process
  • Stochastic process with discrete movements

    common use to denote the subset of Lévy processes whose continuous quadratic variation is zero (i.e., those Lévy processes that have no Brownian motion

    Jump process

    Jump process

    Jump_process

  • Daniel Ocone
  • American mathematician

    continuous martingale that is conditionally Gaussian, given its quadratic variation process. Source: Rutgers University web site Daniel Ocone at the

    Daniel Ocone

    Daniel_Ocone

  • SABR volatility model
  • Stochastic volatility model used in derivatives markets

    representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    SABR volatility model

    SABR_volatility_model

  • Band-stop filter
  • Filter that rejects signals inside a certain range

    vision, statistics, stated by Roonizi (2021). Algorithms such as quadratic variation regularization and smoothness priors are the most common way to perform

    Band-stop filter

    Band-stop filter

    Band-stop_filter

  • Quadratic residue
  • Integer that is a perfect square modulo some integer

    In number theory, an integer q is a quadratic residue modulo n if it is congruent to a perfect square modulo n; that is, if there exists an integer x

    Quadratic residue

    Quadratic_residue

  • Doob's martingale inequality
  • Stochastic processes in mathematics

    provide two-sided bounds relating the maximum of a martingale to its quadratic variation. The last one of Doob's martingale inequalities can be improved to

    Doob's martingale inequality

    Doob's_martingale_inequality

  • Autoregressive conditional heteroskedasticity
  • Time series model

    L_{t})^{2},\quad t\geq 0,} is the purely discontinuous part of the quadratic variation process of L {\displaystyle L} . The result is the following system

    Autoregressive conditional heteroskedasticity

    Autoregressive_conditional_heteroskedasticity

  • Billion laughs attack
  • Denial-of-service attack at XML parsers, exploiting entity expansion

    can take an exponential amount of space or time. The quadratic blowup variation causes quadratic growth in resource requirements by simply repeating a

    Billion laughs attack

    Billion_laughs_attack

  • Autoregressive model
  • Representation of a type of random process

    representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    Autoregressive model

    Autoregressive_model

  • Gaussian random field
  • Concept in statistics

    representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    Gaussian random field

    Gaussian_random_field

  • Itô isometry
  • Term in stochastic calculus

    d[Y]_{s}\right]} where [ Y ] s {\displaystyle [Y]_{s}} denotes the quadratic variation process of Y s {\displaystyle Y_{s}} . Øksendal, Bernt K. (2003)

    Itô isometry

    Itô_isometry

  • Completing the square
  • Method for solving quadratic equations

    elementary algebra, completing the square is a technique for converting a quadratic polynomial of the form ⁠ a x 2 + b x + c {\displaystyle \textstyle ax^{2}+bx+c}

    Completing the square

    Completing the square

    Completing_the_square

  • Conic section
  • Curve from a cone intersecting a plane

    A conic section, conic or a quadratic curve is a curve obtained from a cone's surface intersecting a plane. The three types of conic section are the hyperbola

    Conic section

    Conic section

    Conic_section

  • Quadratic sieve
  • Integer factorization algorithm

    The quadratic sieve algorithm (QS) is an integer factorization algorithm and, in practice, the second-fastest method known (after the general number field

    Quadratic sieve

    Quadratic_sieve

  • Human impact on the nitrogen cycle
  • Environmental impact of agricultural and industrial nitrogen

    1890/0012-9658(1997)078[0081:CIRLAG]2.0.CO;2. Wilson, S. D.; Tilman, D. (2002). "Quadratic Variation in Old-Field Species Richness Along Gradients of Disturbance and

    Human impact on the nitrogen cycle

    Human impact on the nitrogen cycle

    Human_impact_on_the_nitrogen_cycle

  • Bézier curve
  • Curve used in computer graphics and related fields

    Pn, where n is called the order of the curve (n = 1 for linear, 2 for quadratic, 3 for cubic, etc.). The first and last control points are always the

    Bézier curve

    Bézier curve

    Bézier_curve

  • Continuous-time stochastic process
  • representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    Continuous-time stochastic process

    Continuous-time_stochastic_process

  • Constant function market maker
  • Type of market maker

    MF]. Barndorff-Nielsen, Ole; Shephard, Neil (2002). "Estimating quadratic variation using realized variance" (PDF). Journal of Applied Econometrics.

    Constant function market maker

    Constant_function_market_maker

  • Loss function
  • Mathematical relation assigning a probability event to a cost

    regression theory, which is based on the quadratic loss function. The quadratic loss function is also used in linear-quadratic optimal control problems. In these

    Loss function

    Loss function

    Loss_function

  • List of statistics articles
  • ratio Quadratic classifier Quadratic form (statistics) Quadratic variation Qualitative comparative analysis Qualitative data Qualitative variation Quality

    List of statistics articles

    List_of_statistics_articles

  • Stochastic analysis on manifolds
  • infinite lifetime by a transformation of time. A semimartingale has a quadratic variation with respect to a section in the bundle of bilinear forms on T M

    Stochastic analysis on manifolds

    Stochastic_analysis_on_manifolds

  • Koch snowflake
  • Fractal curve

    several variants of the Koch curve were designed, considering right angles (quadratic), other angles (Cesàro), circles and polyhedra and their extensions to

    Koch snowflake

    Koch snowflake

    Koch_snowflake

  • Quadratic probing
  • Address collision resolution scheme

    Quadratic probing is an open addressing scheme in computer programming for resolving hash collisions in hash tables. Quadratic probing operates by taking

    Quadratic probing

    Quadratic_probing

  • Standard deviation
  • Measure of variation in statistics

    In statistics, the standard deviation is a measure of the amount of variation of the values of a variable about its (arithmetic) average. A low standard

    Standard deviation

    Standard deviation

    Standard_deviation

  • Percy A. Pierre
  • American academic administrator (born 1939)

    Analysis and Applications 33: 341–354. Pierre, Percy A. (1971). "The Quadratic Variation of Random Processes." Zeitschrift für Wahrscheinlichkeitstheorie

    Percy A. Pierre

    Percy_A._Pierre

  • Chaos theory
  • Field of mathematics and science based on non-linear systems and initial conditions

    showed that, at least for dissipative and conservative quadratic systems, three-dimensional quadratic systems with only three or four terms on the right-hand

    Chaos theory

    Chaos theory

    Chaos_theory

  • Conjectural variation
  • In oligopoly theory, conjectural variation is the belief that one firm has an idea about the way its competitors may react if it varies its output or

    Conjectural variation

    Conjectural_variation

  • Root mean square
  • Square root of the mean square

    S x {\displaystyle \mathrm {RMS} _{x}} . The RMS is also known as the quadratic mean (denoted M 2 {\displaystyle M_{2}} ), a special case of the generalized

    Root mean square

    Root_mean_square

  • Golden ratio
  • Number, approximately 1.618

    golden ratio. The constant ⁠ φ {\displaystyle \varphi } ⁠ satisfies the quadratic equation ⁠ φ 2 = φ + 1 {\displaystyle \textstyle \varphi ^{2}=\varphi

    Golden ratio

    Golden ratio

    Golden_ratio

  • Clifford algebra
  • Algebra based on a vector space with a quadratic form

    a Clifford algebra is an algebra generated by a vector space with a quadratic form, and is a unital associative algebra with the additional structure

    Clifford algebra

    Clifford_algebra

  • Mathematical optimization
  • Study of mathematical algorithms for optimization problems

    difficult than regular linear programming. Quadratic programming allows the objective function to have quadratic terms, while the feasible set must be specified

    Mathematical optimization

    Mathematical optimization

    Mathematical_optimization

  • Stochastic logarithm
  • Term in stochastic calculus

    where [ Y ] c {\displaystyle [Y]^{c}} is the continuous part of quadratic variation of Y {\displaystyle Y} and the sum extends over the (countably many)

    Stochastic logarithm

    Stochastic_logarithm

  • Analysis of variance
  • Collection of statistical models

    compares the amount of variation between the group means to the amount of variations within each group. If the between-group variation is substantially larger

    Analysis of variance

    Analysis_of_variance

  • Qualitative variation
  • Statistical dispersion in nominal distributions

    index of qualitative variation (IQV) is a measure of statistical dispersion in nominal distributions. Examples include the variation ratio or the information

    Qualitative variation

    Qualitative_variation

  • Second variation
  • Concept in differential calculus

    {\displaystyle h'} being at most quadratic) the Jacobi equation also expresses the conjugate points of the original variational problem in its solutions. A

    Second variation

    Second_variation

  • Option on realized variance
  • Financial derivative option based on realized variance of an underlying asset

    also be defined through continuous sampling, which resulted in the quadratic variation of the underlying price. That is, if we suppose that σ ( t ) {\displaystyle

    Option on realized variance

    Option_on_realized_variance

  • Option on realized volatility
  • converges in probability to the squared root of the underlying asset quadratic variation i.e. lim n → ∞ R V d = 1 T ∫ 0 T σ ( s ) d s =: R V c {\displaystyle

    Option on realized volatility

    Option_on_realized_volatility

  • Russo–Vallois integral
  • [ X ] := [ X , X ] {\displaystyle [X]:=[X,X]\,} is equal to the quadratic variation process. Also for the Russo-Vallois Integral an Ito formula holds:

    Russo–Vallois integral

    Russo–Vallois_integral

  • Newton's method
  • Algorithm for finding zeros of functions

    Furthermore, for a root of multiplicity 1, the convergence is at least quadratic (see Rate of convergence) in some sufficiently small neighbourhood of

    Newton's method

    Newton's method

    Newton's_method

  • Optimal control
  • Mathematical way of attaining a desired output from a dynamic system

    previous section is the linear quadratic (LQ) optimal control problem. The LQ problem is stated as follows. Minimize the quadratic continuous-time cost functional

    Optimal control

    Optimal control

    Optimal_control

  • Riccati equation
  • Type of differential equation

    narrowest sense is any first-order ordinary differential equation that is quadratic in the unknown function. In other words, it is an equation of the form

    Riccati equation

    Riccati_equation

  • Second fundamental form
  • Quadratic form related to curvatures of surfaces

    differential geometry, the second fundamental form (or shape tensor) is a quadratic form on the tangent plane of a smooth surface in the three-dimensional

    Second fundamental form

    Second_fundamental_form

  • Variational Bayesian methods
  • Mathematical methods used in Bayesian inference and machine learning

    Variational Bayesian methods are a family of techniques for approximating intractable integrals arising in Bayesian inference and machine learning. They

    Variational Bayesian methods

    Variational_Bayesian_methods

  • QG
  • Topics referred to by the same term

    in physics that aims to unify general relativity and quantum mechanics Quadratic gravity, a particular theory of quantum gravity Quasigeostrophic, an atmospheric

    QG

    QG

  • Time complexity
  • Estimate of time taken for running an algorithm

    general-purpose sorts run in linear time, but the change from quadratic to sub-quadratic is of great practical importance. An algorithm is said to be of

    Time complexity

    Time complexity

    Time_complexity

  • Catalog of articles in probability theory
  • method / Mar Novikov's condition Ornstein–Uhlenbeck process / Gau Mar Quadratic variation Random dynamical system / rds Reversible diffusion Runge–Kutta method

    Catalog of articles in probability theory

    Catalog_of_articles_in_probability_theory

  • Volatility swap
  • Financial derivative instrument

    annualized realized volatility is defined by means of the square root of quadratic variation of the underlying price log-return: σ ~ realized := 1 T ∫ 0 T σ 2

    Volatility swap

    Volatility_swap

  • Conway's Game of Life
  • Two-dimensional cellular automaton

    Gosper also constructed the first pattern with an asymptotically optimal quadratic growth rate, called a breeder, which worked by leaving behind a trail

    Conway's Game of Life

    Conway's Game of Life

    Conway's_Game_of_Life

  • Interpolation
  • Method for estimating new data within known data points

    Online tools for linear Archived 2016-09-18 at the Wayback Machine, quadratic Archived 2016-09-18 at the Wayback Machine, cubic spline Archived 2016-08-20

    Interpolation

    Interpolation

  • Jean Jacod
  • French mathematician

    DIOP, J. JACOD, V. TODOROV: Central Limit Theorem for Approximate Quadratic Variations of Pure Jump Ito Semimartingales. Stoch. Proc. Appl. 123, 839-886

    Jean Jacod

    Jean Jacod

    Jean_Jacod

  • Witt group
  • Algebra term

    equivalent if one can be obtained from the other by adding a metabolic quadratic space, that is, zero or more copies of a hyperbolic plane, the non-degenerate

    Witt group

    Witt_group

  • Root mean square deviation
  • Statistical measure

    mean square deviation of atomic positions. The RMSD of a sample is the quadratic mean of the differences between the observed values and predicted ones

    Root mean square deviation

    Root_mean_square_deviation

  • Vieta jumping
  • Mathematical proof technique

    used to produce new solutions of a quadratic Diophantine equation from known ones. There exist multiple variations of Vieta jumping, all of which involve

    Vieta jumping

    Vieta_jumping

  • 7
  • Natural number

    Ramanujan–Nagell equation. 7 is one of seven numbers in the positive definite quadratic integer matrix representative of all odd numbers: {1, 3, 5, 7, 11, 15

    7

    7

  • Average
  • Number taken as representative of a list of numbers

    statistics that can be used as an average include the mid-range, the quadratic mean or the geometric mean, but they are rarely referred to as "the average"

    Average

    Average

  • Dirichlet energy
  • Mathematical measure of a function's variability

    is a measure of how variable a function is. More abstractly, it is a quadratic functional on the Sobolev space H1. The Dirichlet energy is intimately

    Dirichlet energy

    Dirichlet_energy

  • Constrained optimization
  • Optimizing objective functions that have constrained variables

    and some are inequalities, but the objective function is quadratic, the problem is a quadratic programming problem. It is one type of nonlinear programming

    Constrained optimization

    Constrained_optimization

  • Mandelbrot set
  • Fractal named after mathematician Benoit Mandelbrot

    Mandelbrot first visualized the set. Mandelbrot studied the parameter space of quadratic polynomials in an article that appeared in 1980. The mathematical study

    Mandelbrot set

    Mandelbrot set

    Mandelbrot_set

  • Gradient descent
  • Optimization algorithm

    {\displaystyle \mathbf {A} \mathbf {x} -\mathbf {b} =0} reformulated as a quadratic minimization problem. If the system matrix A {\displaystyle \mathbf {A}

    Gradient descent

    Gradient descent

    Gradient_descent

  • Galves–Löcherbach model
  • Mathematical model for neuron networks

    representation theorem Optional stopping theorem Prokhorov's theorem Quadratic variation Reflection principle Skorokhod integral Skorokhod's representation

    Galves–Löcherbach model

    Galves–Löcherbach model

    Galves–Löcherbach_model

  • Taylor's theorem
  • Approximation of a function by a polynomial

    function, and the second-order Taylor polynomial is often referred to as the quadratic approximation. There are several versions of Taylor's theorem, some giving

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Convex optimization
  • Subfield of mathematical optimization

    all linear. Quadratic programming are the next-simplest. In QP, the constraints are all linear, but the objective may be a convex quadratic function. Second

    Convex optimization

    Convex_optimization

  • Hilbert's problems
  • 23 mathematical problems stated in 1900

    number field. Determination of the solvability of a Diophantine equation. Quadratic forms with any algebraic numerical coefficients. Extensions of the Kronecker-Weber

    Hilbert's problems

    Hilbert's problems

    Hilbert's_problems

  • Hill yield criterion
  • Plastic deformation descriptor

    Mises yield criterion and had a quadratic form. This model was later generalized by allowing for an exponent m. Variations of these criteria are in wide

    Hill yield criterion

    Hill_yield_criterion

  • TrueType
  • File format

    (or glyphs) in TrueType fonts are made of straight line segments and quadratic Bézier curves. These curves are mathematically simpler and faster to process

    TrueType

    TrueType

  • Knapsack problem
  • Problem in combinatorial optimization

    all items have to be packed to certain bins. The quadratic knapsack problem maximizes a quadratic objective function subject to binary and linear capacity

    Knapsack problem

    Knapsack problem

    Knapsack_problem

  • Plus–minus sign
  • Symbol combining both + and - signs

    solutions: x = +3 and x = −3. A common use of this notation is found in the quadratic formula x = − b ± b 2 − 4 a c 2 a , {\displaystyle x={\frac {-b\pm {\sqrt

    Plus–minus sign

    Plus–minus_sign

  • Stochastic calculus
  • Calculus on stochastic processes

    [X, Y]tc denotes the optional quadratic covariation of the continuous parts of X and Y, which is the optional quadratic covariation minus the jumps of

    Stochastic calculus

    Stochastic_calculus

  • Second derivative
  • Mathematical operation

    the second derivative is related to the best quadratic approximation for a function f. This is the quadratic function whose first and second derivatives

    Second derivative

    Second derivative

    Second_derivative

  • Aqual
  • Topics referred to by the same term

    Aqual or variation, may refer to: Aqual, a brand name drug formulation of methaqualone AQUAL (A QUAdratic Lagrangian), a theory of gravity Aqual, a fictional

    Aqual

    Aqual

  • Luke's variational principle
  • Mathematics of surface waves on a fluid

    In fluid dynamics, Luke's variational principle is a Lagrangian variational description of the motion of surface waves on a fluid with a free surface

    Luke's variational principle

    Luke's_variational_principle

  • Augmented Lagrangian method
  • Class of algorithms for solving constrained optimization problems

    Bertsekas, notably in his 1982 book, together with extensions involving non-quadratic regularization functions (e.g., entropic regularization). This combined

    Augmented Lagrangian method

    Augmented_Lagrangian_method

  • Variable (mathematics)
  • Symbol representing a mathematical object

    determined; in which case, it is called an unknown; for example, in the quadratic equation ax2 + bx + c = 0, the variables a, b, c are parameters, and x

    Variable (mathematics)

    Variable_(mathematics)

  • Brenier's theorem
  • Theorem in optimal transport

    optimal way to transport one probability distribution to another for quadratic cost is the monotone rearrangement. In higher dimensions there is no natural

    Brenier's theorem

    Brenier's_theorem

  • Carl Friedrich Gauss
  • German polymath and scholar (1777–1855)

    made numerous contributions, such as the composition law, the law of quadratic reciprocity, and proved the triangular case of the Fermat polygonal number

    Carl Friedrich Gauss

    Carl Friedrich Gauss

    Carl_Friedrich_Gauss

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