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CHNRSBNE.SIF
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***************************
* SET UP THE INITIAL DATA *
***************************
NAME CHNRSBNE
* Problem :
* --------
* The chained Rosenbrock function (Toint), nonlinear equation version.
* Source:
* Ph.L. Toint,
* "Some numerical results using a sparse matrix updating formula in
* unconstrained optimization",
* Mathematics of Computation, vol. 32(114), pp. 839-852, 1978.
* See also Buckley#46 (n = 25) (p. 45).
* SIF input: Ph. Toint, Dec 1989.
* classification NOR2-AN-V-V
* Number of variables ( at most 50)
*IE N 10 $-PARAMETER original value
*IE N 25 $-PARAMETER
IE N 50 $-PARAMETER
* Problem data
RE ALPH1 1.25
RE ALPH2 1.40
RE ALPH3 2.40
RE ALPH4 1.40
RE ALPH5 1.75
RE ALPH6 1.20
RE ALPH7 2.25
RE ALPH8 1.20
RE ALPH9 1.00
RE ALPH10 1.10
RE ALPH11 1.50
RE ALPH12 1.60
RE ALPH13 1.25
RE ALPH14 1.25
RE ALPH15 1.20
RE ALPH16 1.20
RE ALPH17 1.40
RE ALPH18 0.50
RE ALPH19 0.50
RE ALPH20 1.25
RE ALPH21 1.80
RE ALPH22 0.75
RE ALPH23 1.25
RE ALPH24 1.40
RE ALPH25 1.60
RE ALPH26 2.00
RE ALPH27 1.00
RE ALPH28 1.60
RE ALPH29 1.25
RE ALPH30 2.75
RE ALPH31 1.25
RE ALPH32 1.25
RE ALPH33 1.25
RE ALPH34 3.00
RE ALPH35 1.50
RE ALPH36 2.00
RE ALPH37 1.25
RE ALPH38 1.40
RE ALPH39 1.80
RE ALPH40 1.50
RE ALPH41 2.20
RE ALPH42 1.40
RE ALPH43 1.50
RE ALPH44 1.25
RE ALPH45 2.00
RE ALPH46 1.50
RE ALPH47 1.25
RE ALPH48 1.40
RE ALPH49 0.60
RE ALPH50 1.50
* other parameter definitions
IE 1 1
IE 2 2
VARIABLES
DO I 1 N
X X(I)
ND
GROUPS
DO I 2 N
IA I-1 I -1
XE SQ(I) X(I-1) 1.0
AM AI ALPH(I) 1.0
RM 4AI AI 4.0
RD SCL 4AI 1.0
ZE SQ(I) 'SCALE' SCL
XE B(I) X(I) 1.0
ND
CONSTANTS
DO I 2 N
X CHNRSBNE B(I) 1.0
ND
BOUNDS
FR CHNRSBNE 'DEFAULT'
START POINT
XV CHNROSMB 'DEFAULT' -1.0
ELEMENT TYPE
EV ETYPE V1
EP ETYPE GAMMA
ELEMENT USES
XT 'DEFAULT' ETYPE
DO I 2 N
ZV ELA(I) V1 X(I)
XP ELA(I) GAMMA 2.0
ND
GROUP USES
DO I 2 N
XE SQ(I) ELA(I)
ND
OBJECT BOUND
LO CHNRSBNE 0.0
* Solution
*LO SOLTN 0.0
ENDATA
***********************
* SET UP THE FUNCTION *
* AND RANGE ROUTINES *
***********************
ELEMENTS CHNRSBNE
INDIVIDUALS
T ETYPE
F - V1 ** GAMMA
G V1 - GAMMA * V1 ** ( GAMMA - 1.0 )
H V1 V1 - GAMMA * ( GAMMA - 1.0 ) *
H+ V1 ** ( GAMMA - 2.0 )
ENDATA