1 | /* $Id: ClpSimplexNonlinear.hpp 1665 2011-01-04 17:55:54Z lou $ */ |
2 | // Copyright (C) 2004, International Business Machines |
3 | // Corporation and others. All Rights Reserved. |
4 | // This code is licensed under the terms of the Eclipse Public License (EPL). |
5 | /* |
6 | Authors |
7 | |
8 | John Forrest |
9 | |
10 | */ |
11 | #ifndef ClpSimplexNonlinear_H |
12 | #define ClpSimplexNonlinear_H |
13 | |
14 | class ClpNonlinearInfo; |
15 | class ClpQuadraticObjective; |
16 | class ClpConstraint; |
17 | |
18 | #include "ClpSimplexPrimal.hpp" |
19 | |
20 | /** This solves non-linear LPs using the primal simplex method |
21 | |
22 | It inherits from ClpSimplexPrimal. It has no data of its own and |
23 | is never created - only cast from a ClpSimplexPrimal object at algorithm time. |
24 | If needed create new class and pass around |
25 | |
26 | */ |
27 | |
28 | class ClpSimplexNonlinear : public ClpSimplexPrimal { |
29 | |
30 | public: |
31 | |
32 | /**@name Description of algorithm */ |
33 | //@{ |
34 | /** Primal algorithms for reduced gradient |
35 | At present we have two algorithms: |
36 | |
37 | */ |
38 | /// A reduced gradient method. |
39 | int primal(); |
40 | /** Primal algorithm for quadratic |
41 | Using a semi-trust region approach as for pooling problem |
42 | This is in because I have it lying around |
43 | |
44 | */ |
45 | int primalSLP(int numberPasses, double deltaTolerance); |
46 | /** Primal algorithm for nonlinear constraints |
47 | Using a semi-trust region approach as for pooling problem |
48 | This is in because I have it lying around |
49 | |
50 | */ |
51 | int primalSLP(int numberConstraints, ClpConstraint ** constraints, |
52 | int numberPasses, double deltaTolerance); |
53 | |
54 | /** Creates direction vector. note longArray is long enough |
55 | for rows and columns. If numberNonBasic 0 then is updated |
56 | otherwise mode is ignored and those are used. |
57 | Norms are only for those > 1.0e3*dualTolerance |
58 | If mode is nonzero then just largest dj */ |
59 | void directionVector (CoinIndexedVector * longArray, |
60 | CoinIndexedVector * spare1, CoinIndexedVector * spare2, |
61 | int mode, |
62 | double & normFlagged, double & normUnflagged, |
63 | int & numberNonBasic); |
64 | /// Main part. |
65 | int whileIterating (int & pivotMode); |
66 | /** |
67 | longArray has direction |
68 | pivotMode - |
69 | 0 - use all dual infeasible variables |
70 | 1 - largest dj |
71 | while >= 10 trying startup phase |
72 | Returns 0 - can do normal iteration (basis change) |
73 | 1 - no basis change |
74 | 2 - if wants singleton |
75 | 3 - if time to re-factorize |
76 | If sequenceIn_ >=0 then that will be incoming variable |
77 | */ |
78 | int pivotColumn(CoinIndexedVector * longArray, |
79 | CoinIndexedVector * rowArray, |
80 | CoinIndexedVector * columnArray, |
81 | CoinIndexedVector * spare, |
82 | int & pivotMode, |
83 | double & solutionError, |
84 | double * array1); |
85 | /** Refactorizes if necessary |
86 | Checks if finished. Updates status. |
87 | lastCleaned refers to iteration at which some objective/feasibility |
88 | cleaning too place. |
89 | |
90 | type - 0 initial so set up save arrays etc |
91 | - 1 normal -if good update save |
92 | - 2 restoring from saved |
93 | */ |
94 | void statusOfProblemInPrimal(int & lastCleaned, int type, |
95 | ClpSimplexProgress * progress, |
96 | bool doFactorization, |
97 | double & bestObjectiveWhenFlagged); |
98 | /** Do last half of an iteration. |
99 | Return codes |
100 | Reasons to come out normal mode |
101 | -1 normal |
102 | -2 factorize now - good iteration |
103 | -3 slight inaccuracy - refactorize - iteration done |
104 | -4 inaccuracy - refactorize - no iteration |
105 | -5 something flagged - go round again |
106 | +2 looks unbounded |
107 | +3 max iterations (iteration done) |
108 | |
109 | */ |
110 | int pivotNonlinearResult(); |
111 | //@} |
112 | |
113 | }; |
114 | #endif |
115 | |