| 1 | /*!\file Penpair.c
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| 2 | * \brief: implementation of the Penpair object
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| 3 | */
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| 4 |
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| 5 | /*Headers*/
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| 6 | /*{{{1*/
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| 7 | #ifdef HAVE_CONFIG_H
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| 8 | #include <config.h>
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| 9 | #else
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| 10 | #error "Cannot compile with HAVE_CONFIG_H symbol! run configure first!"
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| 11 | #endif
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| 12 |
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| 13 | #include <stdio.h>
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| 14 | #include <string.h>
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| 15 | #include "../objects.h"
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| 16 | #include "../../EnumDefinitions/EnumDefinitions.h"
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| 17 | #include "../../include/include.h"
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| 18 | #include "../../shared/shared.h"
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| 19 | /*}}}*/
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| 20 |
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| 21 | /*Element macros*/
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| 22 | #define NUMVERTICES 2
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| 23 |
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| 24 | /*Penpair constructors and destructor*/
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| 25 | /*FUNCTION Penpair::constructor {{{1*/
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| 26 | Penpair::Penpair(){
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| 27 |
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| 28 | this->hnodes=NULL;
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| 29 | this->nodes=NULL;
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| 30 | this->parameters=NULL;
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| 31 | return;
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| 32 | }
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| 33 | /*}}}1*/
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| 34 | /*FUNCTION Penpair::creation {{{1*/
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| 35 | Penpair::Penpair(int penpair_id, int* penpair_node_ids,int in_analysis_type){
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| 36 |
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| 37 | this->id=penpair_id;
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| 38 | this->analysis_type=in_analysis_type;
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| 39 | this->hnodes=new Hook(penpair_node_ids,2);
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| 40 | this->parameters=NULL;
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| 41 | this->nodes=NULL;
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| 42 |
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| 43 | return;
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| 44 | }
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| 45 | /*}}}1*/
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| 46 | /*FUNCTION Penpair::destructor {{{1*/
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| 47 | Penpair::~Penpair(){
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| 48 | delete hnodes;
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| 49 | return;
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| 50 | }
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| 51 | /*}}}1*/
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| 52 |
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| 53 | /*Object virtual functions definitions:*/
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| 54 | /*FUNCTION Penpair::Echo {{{1*/
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| 55 | void Penpair::Echo(void){
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| 56 |
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| 57 | int i;
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| 58 |
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| 59 | printf("Penpair:\n");
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| 60 | printf(" id: %i\n",id);
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| 61 | printf(" analysis_type: %s\n",EnumToStringx(analysis_type));
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| 62 | hnodes->Echo();
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| 63 |
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| 64 | return;
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| 65 | }
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| 66 | /*}}}1*/
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| 67 | /*FUNCTION Penpair::DeepEcho {{{1*/
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| 68 | void Penpair::DeepEcho(void){
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| 69 |
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| 70 | printf("Penpair:\n");
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| 71 | printf(" id: %i\n",id);
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| 72 | printf(" analysis_type: %s\n",EnumToStringx(analysis_type));
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| 73 | hnodes->DeepEcho();
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| 74 |
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| 75 | return;
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| 76 | }
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| 77 | /*}}}1*/
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| 78 | /*FUNCTION Penpair::Id {{{1*/
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| 79 | int Penpair::Id(void){ return id; }
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| 80 | /*}}}1*/
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| 81 | /*FUNCTION Penpair::MyRank {{{1*/
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| 82 | int Penpair::MyRank(void){
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| 83 | extern int my_rank;
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| 84 | return my_rank;
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| 85 | }
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| 86 | /*}}}1*/
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| 87 | #ifdef _SERIAL_
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| 88 | /*FUNCTION Penpair::Marshall {{{1*/
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| 89 | void Penpair::Marshall(char** pmarshalled_dataset){
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| 90 |
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| 91 | char* marshalled_dataset=NULL;
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| 92 | int enum_type=0;
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| 93 |
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| 94 | /*recover marshalled_dataset: */
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| 95 | marshalled_dataset=*pmarshalled_dataset;
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| 96 |
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| 97 | /*get enum type of Penpair: */
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| 98 | enum_type=PenpairEnum;
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| 99 |
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| 100 | /*marshall enum: */
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| 101 | memcpy(marshalled_dataset,&enum_type,sizeof(enum_type));marshalled_dataset+=sizeof(enum_type);
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| 102 |
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| 103 | /*marshall Penpair data: */
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| 104 | memcpy(marshalled_dataset,&id,sizeof(id));marshalled_dataset+=sizeof(id);
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| 105 | memcpy(marshalled_dataset,&analysis_type,sizeof(analysis_type));marshalled_dataset+=sizeof(analysis_type);
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| 106 |
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| 107 | /*Marshall hooks*/
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| 108 | hnodes->Marshall(&marshalled_dataset);
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| 109 |
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| 110 | *pmarshalled_dataset=marshalled_dataset;
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| 111 | return;
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| 112 | }
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| 113 | /*}}}1*/
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| 114 | /*FUNCTION Penpair::MarshallSize {{{1*/
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| 115 | int Penpair::MarshallSize(){
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| 116 |
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| 117 | return sizeof(id)+
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| 118 | +sizeof(analysis_type)
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| 119 | +hnodes->MarshallSize()
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| 120 | +sizeof(int); //sizeof(int) for enum type
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| 121 | }
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| 122 | /*}}}1*/
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| 123 | /*FUNCTION Penpair::Demarshall {{{1*/
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| 124 | void Penpair::Demarshall(char** pmarshalled_dataset){
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| 125 |
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| 126 | int i;
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| 127 | char* marshalled_dataset=NULL;
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| 128 |
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| 129 | /*recover marshalled_dataset: */
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| 130 | marshalled_dataset=*pmarshalled_dataset;
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| 131 |
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| 132 | /*this time, no need to get enum type, the pointer directly points to the beginning of the
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| 133 | *object data (thanks to DataSet::Demarshall):*/
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| 134 | memcpy(&id,marshalled_dataset,sizeof(id));marshalled_dataset+=sizeof(id);
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| 135 | memcpy(&analysis_type,marshalled_dataset,sizeof(analysis_type));marshalled_dataset+=sizeof(analysis_type);
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| 136 |
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| 137 | /*demarshall hooks: */
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| 138 | hnodes=new Hook(); hnodes->Demarshall(&marshalled_dataset);
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| 139 |
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| 140 | /*pointers are garbabe, until configuration is carried out: */
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| 141 | nodes=NULL;
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| 142 | parameters=NULL;
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| 143 |
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| 144 | /*return: */
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| 145 | *pmarshalled_dataset=marshalled_dataset;
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| 146 | return;
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| 147 | }
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| 148 | /*}}}1*/
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| 149 | #endif
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| 150 | /*FUNCTION Penpair::ObjectEnum{{{1*/
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| 151 | int Penpair::ObjectEnum(void){
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| 152 |
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| 153 | return PenpairEnum;
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| 154 | }
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| 155 | /*}}}1*/
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| 156 | /*FUNCTION Penpair::copy {{{1*/
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| 157 | Object* Penpair::copy() {
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| 158 |
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| 159 | Penpair* penpair=NULL;
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| 160 |
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| 161 | penpair=new Penpair();
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| 162 |
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| 163 | /*copy fields: */
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| 164 | penpair->id=this->id;
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| 165 | penpair->analysis_type=this->analysis_type;
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| 166 |
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| 167 | /*now deal with hooks and objects: */
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| 168 | penpair->hnodes=(Hook*)this->hnodes->copy();
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| 169 | penpair->nodes =(Node**)penpair->hnodes->deliverp();
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| 170 |
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| 171 | /*point parameters: */
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| 172 | penpair->parameters=this->parameters;
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| 173 |
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| 174 | return penpair;
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| 175 |
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| 176 | }
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| 177 | /*}}}*/
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| 178 |
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| 179 | /*Load virtual functions definitions:*/
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| 180 | /*FUNCTION Penpair::Configure {{{1*/
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| 181 | void Penpair::Configure(Elements* elementsin,Loads* loadsin,Nodes* nodesin,Vertices* verticesin,Materials* materialsin,Parameters* parametersin){
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| 182 |
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| 183 | /*Take care of hooking up all objects for this element, ie links the objects in the hooks to their respective
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| 184 | * datasets, using internal ids and offsets hidden in hooks: */
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| 185 | hnodes->configure(nodesin);
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| 186 |
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| 187 | /*Initialize hooked fields*/
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| 188 | this->nodes =(Node**)hnodes->deliverp();
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| 189 |
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| 190 | /*point parameters to real dataset: */
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| 191 | this->parameters=parametersin;
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| 192 |
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| 193 | }
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| 194 | /*}}}1*/
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| 195 | /*FUNCTION Penpair::SetCurrentConfiguration {{{1*/
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| 196 | void Penpair::SetCurrentConfiguration(Elements* elementsin,Loads* loadsin,Nodes* nodesin,Vertices* verticesin,Materials* materialsin,Parameters* parametersin){
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| 197 |
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| 198 | }
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| 199 | /*}}}1*/
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| 200 | /*FUNCTION Penpair::CreateKMatrix {{{1*/
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| 201 | void Penpair::CreateKMatrix(Mat Kff, Mat Kfs){
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| 202 | /*If you code this piece, don't forget that a penalty will be inactive if it is dealing with clone nodes*/
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| 203 | /*No loads applied, do nothing: */
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| 204 | return;
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| 205 |
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| 206 | }
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| 207 | /*}}}1*/
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| 208 | /*FUNCTION Penpair::CreatePVector {{{1*/
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| 209 | void Penpair::CreatePVector(Vec pf){
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| 210 |
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| 211 | /*No loads applied, do nothing: */
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| 212 | return;
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| 213 |
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| 214 | }
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| 215 | /*}}}1*/
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| 216 | /*FUNCTION Penpair::CreateJacobianMatrix{{{1*/
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| 217 | void Penpair::CreateJacobianMatrix(Mat Jff){
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| 218 | this->CreateKMatrix(Jff,NULL);
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| 219 | }
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| 220 | /*}}}1*/
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| 221 | /*FUNCTION Penpair::PenaltyCreateKMatrix {{{1*/
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| 222 | void Penpair::PenaltyCreateKMatrix(Mat Kff, Mat Kfs,double kmax){
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| 223 |
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| 224 | /*Retrieve parameters: */
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| 225 | ElementMatrix* Ke=NULL;
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| 226 | int analysis_type;
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| 227 | this->parameters->FindParam(&analysis_type,AnalysisTypeEnum);
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| 228 |
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| 229 | switch(analysis_type){
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| 230 | case DiagnosticHorizAnalysisEnum:
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| 231 | Ke=PenaltyCreateKMatrixDiagnosticHoriz(kmax);
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| 232 | break;
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| 233 | case PrognosticAnalysisEnum:
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| 234 | Ke=PenaltyCreateKMatrixPrognostic(kmax);
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| 235 | break;
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| 236 | default:
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| 237 | _error_("analysis %i (%s) not supported yet",analysis_type,EnumToStringx(analysis_type));
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| 238 | }
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| 239 |
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| 240 | /*Add to global Vector*/
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| 241 | if(Ke){
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| 242 | Ke->AddToGlobal(Kff,Kfs);
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| 243 | delete Ke;
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| 244 | }
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| 245 | }
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| 246 | /*}}}1*/
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| 247 | /*FUNCTION Penpair::PenaltyCreatePVector {{{1*/
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| 248 | void Penpair::PenaltyCreatePVector(Vec pf,double kmax){
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| 249 | /*No loads applied, do nothing: */
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| 250 | return;
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| 251 | }
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| 252 | /*}}}1*/
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| 253 | /*FUNCTION Penpair::PenaltyCreateJacobianMatrix{{{1*/
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| 254 | void Penpair::PenaltyCreateJacobianMatrix(Mat Jff,double kmax){
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| 255 | this->PenaltyCreateKMatrix(Jff,NULL,kmax);
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| 256 | }
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| 257 | /*}}}1*/
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| 258 | /*FUNCTION Penpair::InAnalysis{{{1*/
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| 259 | bool Penpair::InAnalysis(int in_analysis_type){
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| 260 | if (in_analysis_type==this->analysis_type)return true;
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| 261 | else return false;
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| 262 | }
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| 263 | /*}}}*/
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| 264 |
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| 265 | /*Update virtual functions definitions:*/
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| 266 | /*FUNCTION Penpair::InputUpdateFromConstant(double constant, int name) {{{1*/
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| 267 | void Penpair::InputUpdateFromConstant(double constant, int name){
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| 268 | /*Nothing updated yet*/
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| 269 | }
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| 270 | /*}}}*/
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| 271 | /*FUNCTION Penpair::InputUpdateFromConstant(int constant, int name) {{{1*/
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| 272 | void Penpair::InputUpdateFromConstant(int constant, int name){
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| 273 | /*Nothing updated yet*/
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| 274 | }
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| 275 | /*}}}*/
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| 276 | /*FUNCTION Penpair::InputUpdateFromConstant(bool constant, int name) {{{1*/
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| 277 | void Penpair::InputUpdateFromConstant(bool constant, int name){
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| 278 | /*Nothing updated yet*/
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| 279 | }
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| 280 | /*}}}*/
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| 281 | /*FUNCTION Penpair::InputUpdateFromVector(double* vector, int name, int type) {{{1*/
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| 282 | void Penpair::InputUpdateFromVector(double* vector, int name, int type){
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| 283 | /*Nothing updated yet*/
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| 284 | }
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| 285 | /*}}}*/
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| 286 | /*FUNCTION Penpair::InputUpdateFromVector(int* vector, int name, int type) {{{1*/
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| 287 | void Penpair::InputUpdateFromVector(int* vector, int name, int type){
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| 288 | /*Nothing updated yet*/
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| 289 | }
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| 290 | /*}}}*/
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| 291 | /*FUNCTION Penpair::InputUpdateFromVector(bool* vector, int name, int type) {{{1*/
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| 292 | void Penpair::InputUpdateFromVector(bool* vector, int name, int type){
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| 293 | /*Nothing updated yet*/
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| 294 | }
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| 295 | /*}}}*/
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| 296 |
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| 297 | /*Penpair management:*/
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| 298 | /*FUNCTION Penpair::PenaltyCreateKMatrixDiagnosticHoriz{{{1*/
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| 299 | ElementMatrix* Penpair::PenaltyCreateKMatrixDiagnosticHoriz(double kmax){
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| 300 |
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| 301 | int approximation0=nodes[0]->GetApproximation();
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| 302 | int approximation1=nodes[1]->GetApproximation();
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| 303 |
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| 304 | switch(approximation0){
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| 305 | case MacAyealApproximationEnum:
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| 306 | switch(approximation1){
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| 307 | case MacAyealApproximationEnum: return PenaltyCreateKMatrixDiagnosticMacAyealPattyn(kmax);
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| 308 | case PattynApproximationEnum: return PenaltyCreateKMatrixDiagnosticMacAyealPattyn(kmax);
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| 309 | default: _error_("not supported yet");
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| 310 | }
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| 311 | case PattynApproximationEnum:
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| 312 | switch(approximation1){
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| 313 | case MacAyealApproximationEnum: return PenaltyCreateKMatrixDiagnosticMacAyealPattyn(kmax);
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| 314 | case PattynApproximationEnum: return PenaltyCreateKMatrixDiagnosticMacAyealPattyn(kmax);
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| 315 | default: _error_("not supported yet");
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| 316 | }
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| 317 | case StokesApproximationEnum:
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| 318 | switch(approximation1){
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| 319 | case StokesApproximationEnum: return PenaltyCreateKMatrixDiagnosticStokes(kmax);
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| 320 | case NoneApproximationEnum: return PenaltyCreateKMatrixDiagnosticStokes(kmax);
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| 321 | default: _error_("not supported yet");
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| 322 | }
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| 323 | case NoneApproximationEnum:
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| 324 | switch(approximation1){
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| 325 | case StokesApproximationEnum: return PenaltyCreateKMatrixDiagnosticStokes(kmax);
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| 326 | case NoneApproximationEnum: return PenaltyCreateKMatrixDiagnosticStokes(kmax);
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| 327 | default: _error_("not supported yet");
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| 328 | }
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| 329 | default: _error_("not supported yet");
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| 330 | }
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| 331 | }
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| 332 | /*}}}1*/
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| 333 | /*FUNCTION Penpair::PenaltyCreateKMatrixDiagnosticMacAyealPattyn {{{1*/
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| 334 | ElementMatrix* Penpair::PenaltyCreateKMatrixDiagnosticMacAyealPattyn(double kmax){
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| 335 |
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| 336 | const int numdof=NUMVERTICES*NDOF2;
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| 337 | double penalty_offset;
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| 338 |
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| 339 | /*Initialize Element vector and return if necessary*/
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| 340 | ElementMatrix* Ke=new ElementMatrix(nodes,NUMVERTICES,this->parameters);
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| 341 |
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| 342 | /*recover parameters: */
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| 343 | parameters->FindParam(&penalty_offset,DiagnosticPenaltyFactorEnum);
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| 344 |
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| 345 | //Create elementary matrix: add penalty to
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| 346 | Ke->values[0*numdof+0]=+kmax*pow((double)10.0,penalty_offset);
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| 347 | Ke->values[0*numdof+2]=-kmax*pow((double)10.0,penalty_offset);
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| 348 | Ke->values[2*numdof+0]=-kmax*pow((double)10.0,penalty_offset);
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| 349 | Ke->values[2*numdof+2]=+kmax*pow((double)10.0,penalty_offset);
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| 350 |
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| 351 | Ke->values[1*numdof+1]=+kmax*pow((double)10.0,penalty_offset);
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| 352 | Ke->values[1*numdof+3]=-kmax*pow((double)10.0,penalty_offset);
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| 353 | Ke->values[3*numdof+1]=-kmax*pow((double)10.0,penalty_offset);
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| 354 | Ke->values[3*numdof+3]=+kmax*pow((double)10.0,penalty_offset);
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| 355 |
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| 356 | /*Clean up and return*/
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| 357 | return Ke;
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| 358 | }
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| 359 | /*}}}1*/
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| 360 | /*FUNCTION Penpair::PenaltyCreateKMatrixDiagnosticStokes {{{1*/
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| 361 | ElementMatrix* Penpair::PenaltyCreateKMatrixDiagnosticStokes(double kmax){
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| 362 |
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| 363 | const int numdof=NUMVERTICES*NDOF4;
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| 364 | double penalty_offset;
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| 365 |
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| 366 | /*Initialize Element vector and return if necessary*/
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| 367 | ElementMatrix* Ke=new ElementMatrix(nodes,NUMVERTICES,this->parameters);
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| 368 |
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| 369 | /*recover parameters: */
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| 370 | parameters->FindParam(&penalty_offset,DiagnosticPenaltyFactorEnum);
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| 371 |
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| 372 | //Create elementary matrix: add penalty to
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| 373 | Ke->values[0*numdof+0]=+kmax*pow((double)10.0,penalty_offset);
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| 374 | Ke->values[0*numdof+4]=-kmax*pow((double)10.0,penalty_offset);
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| 375 | Ke->values[4*numdof+0]=-kmax*pow((double)10.0,penalty_offset);
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| 376 | Ke->values[4*numdof+4]=+kmax*pow((double)10.0,penalty_offset);
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| 377 |
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| 378 | Ke->values[1*numdof+1]=+kmax*pow((double)10.0,penalty_offset);
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| 379 | Ke->values[1*numdof+5]=-kmax*pow((double)10.0,penalty_offset);
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| 380 | Ke->values[5*numdof+1]=-kmax*pow((double)10.0,penalty_offset);
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| 381 | Ke->values[5*numdof+5]=+kmax*pow((double)10.0,penalty_offset);
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| 382 |
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| 383 | Ke->values[2*numdof+2]=+kmax*pow((double)10.0,penalty_offset);
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| 384 | Ke->values[2*numdof+6]=-kmax*pow((double)10.0,penalty_offset);
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| 385 | Ke->values[6*numdof+2]=-kmax*pow((double)10.0,penalty_offset);
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| 386 | Ke->values[6*numdof+6]=+kmax*pow((double)10.0,penalty_offset);
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| 387 |
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| 388 | Ke->values[3*numdof+3]=+kmax*pow((double)10.0,penalty_offset);
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| 389 | Ke->values[3*numdof+7]=-kmax*pow((double)10.0,penalty_offset);
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| 390 | Ke->values[7*numdof+3]=-kmax*pow((double)10.0,penalty_offset);
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| 391 | Ke->values[7*numdof+7]=+kmax*pow((double)10.0,penalty_offset);
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| 392 |
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| 393 | /*Clean up and return*/
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| 394 | return Ke;
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| 395 | }
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| 396 | /*}}}1*/
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| 397 | /*FUNCTION Penpair::PenaltyCreateKMatrixPrognostic {{{1*/
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| 398 | ElementMatrix* Penpair::PenaltyCreateKMatrixPrognostic(double kmax){
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| 399 |
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| 400 | const int numdof=NUMVERTICES*NDOF1;
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| 401 | double penalty_factor;
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| 402 |
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| 403 | /*Initialize Element vector and return if necessary*/
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| 404 | ElementMatrix* Ke=new ElementMatrix(nodes,NUMVERTICES,this->parameters);
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| 405 |
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| 406 | /*recover parameters: */
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| 407 | parameters->FindParam(&penalty_factor,PrognosticPenaltyFactorEnum);
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| 408 |
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| 409 | //Create elementary matrix: add penalty to
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| 410 | Ke->values[0*numdof+0]=+kmax*pow((double)10.0,penalty_factor);
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| 411 | Ke->values[0*numdof+1]=-kmax*pow((double)10.0,penalty_factor);
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| 412 | Ke->values[1*numdof+0]=-kmax*pow((double)10.0,penalty_factor);
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| 413 | Ke->values[1*numdof+1]=+kmax*pow((double)10.0,penalty_factor);
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| 414 |
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| 415 | /*Clean up and return*/
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| 416 | return Ke;
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| 417 | }
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| 418 | /*}}}1*/
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