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gradient matrix

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  • Gradient (Mathematik) — Zwei Skalarfelder dargestellt als Grauschattierung (dunklere Färbung entspricht größerem Funktionswert). Die blauen Pfeile darauf symbolisieren den zugehörigen Gradienten. Der Gradient ist ein mathematischer Operator, genauer ein… …   Deutsch Wikipedia

  • Gradient — In vector calculus, the gradient of a scalar field is a vector field which points in the direction of the greatest rate of increase of the scalar field, and whose magnitude is the greatest rate of change.A generalization of the gradient for… …   Wikipedia

  • Matrix calculus — Topics in Calculus Fundamental theorem Limits of functions Continuity Mean value theorem Differential calculus  Derivative Change of variables Implicit differentiation Taylor s theorem Related rates …   Wikipedia

  • Gradient eines Skalarfeldes — Zwei Skalarfelder dargestellt als Grauschattierung (dunklere Färbung entspricht größerem Funktionswert). Die blauen Pfeile darauf symbolisieren den zugehörigen Gradienten. Der Gradient ist ein mathematischer Operator, genauer ein… …   Deutsch Wikipedia

  • Gradient descent — For the analytical method called steepest descent see Method of steepest descent. Gradient descent is an optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the… …   Wikipedia

  • Matrix (mathematics) — Specific elements of a matrix are often denoted by a variable with two subscripts. For instance, a2,1 represents the element at the second row and first column of a matrix A. In mathematics, a matrix (plural matrices, or less commonly matrixes)… …   Wikipedia

  • Matrix representation of conic sections — In mathematics, the matrix representation of conic sections is one way of studying a conic section, its axis, vertices, foci, tangents, and the relative position of a given point. We can also study conic sections whose axes aren t parallel to our …   Wikipedia

  • Matrix-free methods — In computational mathematics, a matrix free method is an algorithm for solving a linear system of equations or an eigenvalue problem that does not store the coefficient matrix explicitly, but accesses the matrix by evaluating matrix vector… …   Wikipedia

  • Conjugate gradient method — A comparison of the convergence of gradient descent with optimal step size (in green) and conjugate vector (in red) for minimizing a quadratic function associated with a given linear system. Conjugate gradient, assuming exact arithmetic,… …   Wikipedia

  • Théorie du premier gradient — La théorie du premier gradient est une théorie permettant de modéliser la puissance des efforts intérieurs dans un milieu continu en supposant qu elle s exprime à l aide d une densité de puissance qui est une forme linéaire du premier gradient du …   Wikipédia en Français

  • Non-negative matrix factorization — NMF redirects here. For the bridge convention, see new minor forcing. Non negative matrix factorization (NMF) is a group of algorithms in multivariate analysis and linear algebra where a matrix, , is factorized into (usually) two matrices, and… …   Wikipedia

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