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  2. Separation of variables - Wikipedia

    en.wikipedia.org/wiki/Separation_of_variables

    Separation of variables may be possible in some coordinate systems but not others, [2] and which coordinate systems allow for separation depends on the symmetry properties of the equation. [3] Below is an outline of an argument demonstrating the applicability of the method to certain linear equations, although the precise method may differ in ...

  3. Partial differential equation - Wikipedia

    en.wikipedia.org/wiki/Partial_differential_equation

    In the method of separation of variables, one reduces a PDE to a PDE in fewer variables, which is an ordinary differential equation if in one variable – these are in turn easier to solve. This is possible for simple PDEs, which are called separable partial differential equations, and the domain is generally a rectangle (a product of intervals).

  4. Separable partial differential equation - Wikipedia

    en.wikipedia.org/wiki/Separable_partial...

    Laplace's equation on is an example of a partial differential equation that admits solutions through -separation of variables; in the three-dimensional case this uses 6-sphere coordinates. (This should not be confused with the case of a separable ODE, which refers to a somewhat different class of problems that can be broken into a pair of ...

  5. Schrödinger equation - Wikipedia

    en.wikipedia.org/wiki/Schrödinger_equation

    However, even in this case the total wave function is dependent on time as explained in the section on linearity below. In the language of linear algebra , this equation is an eigenvalue equation . Therefore, the wave function is an eigenfunction of the Hamiltonian operator with corresponding eigenvalue(s) E {\displaystyle E} .

  6. Linear separability - Wikipedia

    en.wikipedia.org/wiki/Linear_separability

    There are many hyperplanes that might classify (separate) the data. One reasonable choice as the best hyperplane is the one that represents the largest separation, or margin, between the two sets. So we choose the hyperplane so that the distance from it to the nearest data point on each side is maximized.

  7. Separation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Separation_(statistics)

    In statistics, separation is a phenomenon associated with models for dichotomous or categorical outcomes, including logistic and probit regression.Separation occurs if the predictor (or a linear combination of some subset of the predictors) is associated with only one outcome value when the predictor range is split at a certain value.

  8. Robin boundary condition - Wikipedia

    en.wikipedia.org/wiki/Robin_boundary_condition

    Robin boundary conditions are commonly used in solving Sturm–Liouville problems which appear in many contexts in science and engineering.. In addition, the Robin boundary condition is a general form of the insulating boundary condition for convection–diffusion equations.

  9. Nonlinear partial differential equation - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_partial...

    In mathematics and physics, a nonlinear partial differential equation is a partial differential equation with nonlinear terms.They describe many different physical systems, ranging from gravitation to fluid dynamics, and have been used in mathematics to solve problems such as the Poincaré conjecture and the Calabi conjecture.