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  2. Second-order cone programming - Wikipedia

    en.wikipedia.org/wiki/Second-order_cone_programming

    The "second-order cone" in SOCP arises from the constraints, which are equivalent to requiring the affine function (+, +) to lie in the second-order cone in +. [ 1 ] SOCPs can be solved by interior point methods [ 2 ] and in general, can be solved more efficiently than semidefinite programming (SDP) problems. [ 3 ]

  3. Settling time - Wikipedia

    en.wikipedia.org/wiki/Settling_time

    Settling time depends on the system response and natural frequency. The settling time for a second order , underdamped system responding to a step response can be approximated if the damping ratio ζ ≪ 1 {\displaystyle \zeta \ll 1} by T s = − ln ⁡ ( tolerance fraction ) damping ratio × natural freq {\displaystyle T_{s}=-{\frac {\ln ...

  4. Minimal realization - Wikipedia

    en.wikipedia.org/wiki/Minimal_realization

    [1] [2] The realization is called "minimal" because it describes the system with the minimum number of states. [2] The minimum number of state variables required to describe a system equals the order of the differential equation; [3] more state variables than the minimum can be defined. For example, a second order system can be defined by two ...

  5. Step response - Wikipedia

    en.wikipedia.org/wiki/Step_response

    A typical step response for a second order system, illustrating overshoot, followed by ringing, all subsiding within a settling time.. The step response of a system in a given initial state consists of the time evolution of its outputs when its control inputs are Heaviside step functions.

  6. MUSCL scheme - Wikipedia

    en.wikipedia.org/wiki/MUSCL_scheme

    An example of MUSCL type state parabolic-reconstruction. It is possible to extend the idea of linear-extrapolation to higher order reconstruction, and an example is shown in the diagram opposite. However, for this case the left and right states are estimated by interpolation of a second-order, upwind biased, difference equation.

  7. Autonomous system (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Autonomous_system...

    The second-order autonomous equation = (, ′) is more difficult, but it can be solved [2] by introducing the new variable = and expressing the second derivative of via the chain rule as = = = so that the original equation becomes = (,) which is a first order equation containing no reference to the independent variable .

  8. Second-order arithmetic - Wikipedia

    en.wikipedia.org/wiki/Second-order_arithmetic

    A subsystem of second-order arithmetic is a theory in the language of second-order arithmetic each axiom of which is a theorem of full second-order arithmetic (Z 2). Such subsystems are essential to reverse mathematics , a research program investigating how much of classical mathematics can be derived in certain weak subsystems of varying strength.

  9. Symplectic integrator - Wikipedia

    en.wikipedia.org/wiki/Symplectic_integrator

    The Verlet method is the second-order integrator with = and coefficients =, =, = =. Since c 1 = 0 {\displaystyle c_{1}=0} , the algorithm above is symmetric in time. There are 3 steps to the algorithm, and step 1 and 3 are exactly the same, so the positive time version can be used for negative time.