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              "value": "This subroutine finds a step that satisfies a sufficient decrease condition and a curvature condition."
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              "value": "Each call of the subroutine updates an interval with endpoints stx and sty. The interval is initially chosen so that it contains a minimizer of the modified function"
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                  "value": "psi(stp) = f(stp) - f(0) - ftol*stp*f'(0)."
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              "value": "If psi(stp) <= 0 and f'(stp) >= 0 for some step, then the interval is chosen so that it contains a minimizer of f."
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              "value": "The algorithm is designed to find a step that satisfies the sufficient decrease condition"
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                  "value": "f(stp) <= f(0) + ftol*stp*f'(0),"
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              "value": "and the curvature condition"
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                  "value": "abs(f'(stp)) <= gtol*abs(f'(0))."
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          "children": [
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              "value": "If ftol is less than gtol and if, for example, the function is bounded below, then there is always a step which satisfies both conditions."
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              "value": "If no step can be found that satisfies both conditions, then the algorithm stops with a warning. In this case stp only satisfies the sufficient decrease condition."
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              "value": "A typical invocation of dcsrch has the following outline:"
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              "value": "Evaluate the function at stp = 0.0d0; store in f. Evaluate the gradient at stp = 0.0d0; store in g. Choose a starting step stp."
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              "value": "task = 'START' 10 continue     call dcsrch(stp,f,g,ftol,gtol,xtol,task,stpmin,stpmax,                isave,dsave)     if (task .eq. 'FG') then        Evaluate the function and the gradient at stp        go to 10        end if"
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              "value": "NOTE: The user must not alter work arrays between calls."
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                        "value": "subroutine dcsrch(f,g,stp,ftol,gtol,xtol,stpmin,stpmax,"
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                          "value": "task,isave,dsave)"
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                        "value": "where  stp is a double precision variable.     On entry stp is the current estimate of a satisfactory"
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                          "value": "step. On initial entry, a positive initial estimate         must be provided."
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                        "value": "On exit stp is the current estimate of a satisfactory step"
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                          "value": "if task = 'FG'. If task = 'CONV' then stp satisfies         the sufficient decrease and curvature condition."
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                    "value": "f is a double precision variable."
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                      "value": "On initial entry f is the value of the function at 0.     On subsequent entries f is the value of the         function at stp.     On exit f is the value of the function at stp."
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                    "value": "g is a double precision variable."
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                  "children": [
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                      "value": "On initial entry g is the derivative of the function at 0.     On subsequent entries g is the derivative of the        function at stp.     On exit g is the derivative of the function at stp."
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                    "value": "ftol is a double precision variable."
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                            "value": "On entry ftol specifies a nonnegative tolerance for the"
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                              "value": "sufficient decrease condition."
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                            "value": "On exit ftol is unchanged.  gtol is a double precision variable.     On entry gtol specifies a nonnegative tolerance for the"
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                            "value": "On exit gtol is unchanged.  xtol is a double precision variable.     On entry xtol specifies a nonnegative relative tolerance"
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                              "value": "for an acceptable step. The subroutine exits with a       warning if the relative difference between sty and stx       is less than xtol."
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                      "value": "On exit xtol is unchanged."
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                    "value": "task is a character variable of length at least 60."
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                          "value": "If task(1:2) = 'FG' then evaluate the function and        derivative at stp and call dcsrch again."
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                          "value": "If task(1:4) = 'WARN' then the subroutine is not able        to satisfy the convergence conditions. The exit value of        stp contains the best point found during the search."
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                          "value": "If task(1:5) = 'ERROR' then there is an error in the       input arguments."
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                            "value": "On exit with convergence, a warning or an error, the"
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                          "children": [
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              "dt": {
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                "children": [
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                    "value": "stpmin is a double precision variable."
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              "dd": [
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                  "children": [
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                      "value": "On entry stpmin is a nonnegative lower bound for the step.     On exit stpmin is unchanged."
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                    "value": "stpmax is a double precision variable."
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                      "value": "On entry stpmax is a nonnegative upper bound for the step.     On exit stpmax is unchanged."
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              "value": "isave is an integer work array of dimension 2."
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              "value": "dsave is a double precision work array of dimension 13."
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          "children": [
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              "value": "Subprograms called"
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                  "value": "MINPACK-2 ... dcstep"
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              "value": "MINPACK-1 Project. June 1983. Argonne National Laboratory. Jorge J. More' and David J. Thuente."
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      },
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      {
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      },
      {
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        },
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        },
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    "return_annotation": {
      "__type": "Empty",
      "__tag": 4031
    },
    "target_name": "DCSRCH"
  },
  "references": null,
  "qa": "scipy.optimize._dcsrch:DCSRCH",
  "arbitrary": [],
  "local_refs": [
    "derphi",
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    "gtol",
    "phi",
    "stpmax",
    "stpmin",
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  ]
}