GNU Octave  4.2.1
A high-level interpreted language, primarily intended for numerical computations, mostly compatible with Matlab
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sewset.f
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1  SUBROUTINE sewset (N, ITOL, RTOL, ATOL, YCUR, EWT)
2 C***BEGIN PROLOGUE SEWSET
3 C***SUBSIDIARY
4 C***PURPOSE Set error weight vector.
5 C***TYPE SINGLE PRECISION (SEWSET-S, DEWSET-D)
6 C***AUTHOR Hindmarsh, Alan C., (LLNL)
7 C***DESCRIPTION
8 C
9 C This subroutine sets the error weight vector EWT according to
10 C EWT(i) = RTOL(i)*ABS(YCUR(i)) + ATOL(i), i = 1,...,N,
11 C with the subscript on RTOL and/or ATOL possibly replaced by 1 above,
12 C depending on the value of ITOL.
13 C
14 C***SEE ALSO SLSODE
15 C***ROUTINES CALLED (NONE)
16 C***REVISION HISTORY (YYMMDD)
17 C 791129 DATE WRITTEN
18 C 890501 Modified prologue to SLATEC/LDOC format. (FNF)
19 C 890503 Minor cosmetic changes. (FNF)
20 C 930809 Renamed to allow single/double precision versions. (ACH)
21 C***END PROLOGUE SEWSET
22 C**End
23  INTEGER N, ITOL
24  INTEGER I
25  REAL RTOL, ATOL, YCUR, EWT
26  dimension rtol(*), atol(*), ycur(n), ewt(n)
27 C
28 C***FIRST EXECUTABLE STATEMENT SEWSET
29  go to(10, 20, 30, 40), itol
30  10 CONTINUE
31  DO 15 i = 1,n
32  15 ewt(i) = rtol(1)*abs(ycur(i)) + atol(1)
33  RETURN
34  20 CONTINUE
35  DO 25 i = 1,n
36  25 ewt(i) = rtol(1)*abs(ycur(i)) + atol(i)
37  RETURN
38  30 CONTINUE
39  DO 35 i = 1,n
40  35 ewt(i) = rtol(i)*abs(ycur(i)) + atol(1)
41  RETURN
42  40 CONTINUE
43  DO 45 i = 1,n
44  45 ewt(i) = rtol(i)*abs(ycur(i)) + atol(i)
45  RETURN
46 C----------------------- END OF SUBROUTINE SEWSET ----------------------
47  END
subroutine sewset(N, ITOL, RTOL, ATOL, YCUR, EWT)
Definition: sewset.f:1
may be zero for pure relative error test tem the relative tolerance must be greater than or equal to
Definition: Quad-opts.cc:233
OCTAVE_EXPORT octave_value_list etc The functions then dimension(columns)
OCTAVE_EXPORT octave_value_list return the value of the option it must match the dimension of the state and the relative tolerance must also be a vector of the same length tem it must match the dimension of the state and the absolute tolerance must also be a vector of the same length The local error test applied at each integration step is xample roup abs(local error in x(i))<