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Linear multistep method information


Linear multistep methods are used for the numerical solution of ordinary differential equations. Conceptually, a numerical method starts from an initial point and then takes a short step forward in time to find the next solution point. The process continues with subsequent steps to map out the solution. Single-step methods (such as Euler's method) refer to only one previous point and its derivative to determine the current value. Methods such as Runge–Kutta take some intermediate steps (for example, a half-step) to obtain a higher order method, but then discard all previous information before taking a second step. Multistep methods attempt to gain efficiency by keeping and using the information from previous steps rather than discarding it. Consequently, multistep methods refer to several previous points and derivative values. In the case of linear multistep methods, a linear combination of the previous points and derivative values is used.

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Linear multistep method

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Linear multistep methods are used for the numerical solution of ordinary differential equations. Conceptually, a numerical method starts from an initial...

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Euler method

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Euler method. This line of thought can be continued to arrive at various linear multistep methods. The local truncation error of the Euler method is the...

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General linear methods

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include multistage Runge–Kutta methods that use intermediate collocation points, as well as linear multistep methods that save a finite time history...

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Numerical methods for ordinary differential equations

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quadrature) numerical methods. Explicit examples from the linear multistep family include the Adams–Bashforth methods, and any Runge–Kutta method with a lower...

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Backward Euler method

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&1\\\end{array}}} The method can also be seen as a linear multistep method with one step. It is the first method of the family of Adams–Moulton methods, and also...

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Stiff equation

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it restricts the usefulness of linear multistep methods for stiff equations. An example of a second-order A-stable method is the trapezoidal rule mentioned...

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Multigrid method

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interest here are parallel-in-time multigrid methods: in contrast to classical Runge–Kutta or linear multistep methods, they can offer concurrency in temporal...

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Zero stability

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{\displaystyle y'(x)=0} . A linear multistep method is zero-stable if all roots of the characteristic equation that arises on applying the method to y ′ ( x ) = 0...

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Backward differentiation formula

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a family of implicit methods for the numerical integration of ordinary differential equations. They are linear multistep methods that, for a given function...

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List of numerical analysis topics

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General linear methods — a class of methods encapsulating linear multistep and Runge-Kutta methods Bulirsch–Stoer algorithm — combines the midpoint method with...

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Adams method

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Adams method may refer to: A method for the numerical solution of ordinary differential equations, also known as the linear multistep method A method for...

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Local linearization method

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In numerical analysis, the local linearization (LL) method is a general strategy for designing numerical integrators for differential equations based...

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LMM

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Linear multistep method, schemes used in mathematics to find numerical solutions of ordinary differential equations Mixed model, also called linear mixed...

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Discretization error

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Applied Mathematics (2 ed.). SIAM. p. 5. doi:10.1137/1.9780898718027. ISBN 978-0-89871-521-7. Discretization Linear multistep method Quantization error...

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Composite methods for structural dynamics

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and linear multistep methods. However, to acquire at least second-order accuracy and unconditional stability, the scalar parameters of each method and...

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Diffusion model

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use any of the numerical integration methods, such as Euler–Maruyama method, Heun's method, linear multistep methods, etc. Just as in the discrete case...

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Exponential integrator

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Runge-Kutta discretizations, linear multistep methods or a variety of other options. Exponential Rosenbrock methods were shown to be very efficient in...

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List of algorithms

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of Sundaram Euler method Backward Euler method Trapezoidal rule (differential equations) Linear multistep methods Runge–Kutta methods Euler integration...

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John Couch Adams

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priority in discovery of the planet. The search was begun by a laborious method on 29 July. Only after the discovery of Neptune on 23 September 1846 had...

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Actuator

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fabricated using multistep low yield processes such as micro-moulding, solid freeform fabrication, and mask lithography. However, these methods require manual...

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Determinant

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Jay (2015). Linear Algebra Done Right (3rd ed.). Springer. ISBN 978-3-319-11079-0. Bareiss, Erwin (1968), "Sylvester's Identity and Multistep Integer-Preserving...

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Longest linear sequence

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reactions required to go from the starting materials to the products in a multistep sequence. This concept is very important when trying to optimize a synthetic...

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Wave equation

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{\displaystyle {\frac {L}{c}}k(0.05),\ k=0,\dots ,5,} using an 8th-order multistep method, the 6 states displayed in figure are found: The red curve is the initial...

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Alternator

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regulators. Multistep regulators control the field current to maximize the charging effectiveness (time to charge) and battery life. Multistep regulators...

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Bareiss algorithm

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1007/s11786-020-00495-9 Bareiss, Erwin H. (1968), "Sylvester's Identity and multistep integer-preserving Gaussian elimination" (PDF), Mathematics of Computation...

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Gempack

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system. Then it is solved by multistep methods such as the Euler method, midpoint method or Gragg's modified Midpoint method. These all require solution...

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