1962
DOI: 10.1145/355580.369128
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Multiple shooting method for two-point boundary value problems

Abstract: The common techniques for solving two-point boundary value problems can be classified as either "shooting" or "finite difference" methods. Central to a shooting method is the ability to integrate the differential equations as an initial value problem with guesses for the unknown initial values. This ability is not required with a finite difference method, for the unknowns are considered to be the values of the true solution at a number of interior mesh points. Each method has its advantages and disadvantages. … Show more

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Cited by 152 publications
(57 citation statements)
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“…It has been established that sequential approaches have properties of single shooting methods and do not perform well with models that exhibit open loop instability [29,30]. Shooting methods may fail with unstable differential equations before the initial value problem can be fully integrated, despite good guess values [31].…”
Section: Sequential Gradient-based Approachesmentioning
confidence: 99%
“…It has been established that sequential approaches have properties of single shooting methods and do not perform well with models that exhibit open loop instability [29,30]. Shooting methods may fail with unstable differential equations before the initial value problem can be fully integrated, despite good guess values [31].…”
Section: Sequential Gradient-based Approachesmentioning
confidence: 99%
“…Note that DF(x) = DΦ(x, F T (x))(I, Z T ). Early references are Goodman and Lance [1956], Morrison et al [1962], and for applications to optimal control problems, Stoer and Bulirsch [1993].…”
Section: Basic Shootingmentioning
confidence: 99%
“…In some such cases, it may even be impossible to integrate the PO over the whole period within the numerical accuracy of standard integrators. Multi-step integrators such as the advanced multi-shooting algorithm 34,35 can help to address some of these but not all.…”
Section: Introductionmentioning
confidence: 99%