dietary optimization: building a model by rows (constraints) or by columns (variables), solving with IloCplex in C++ 

ilodiet.cpp 

dietary optimization: building a model by rows (constraints) or by columns (variables), solving with IloCplex in Java 

Diet.java 

dietary optimization: building a model by rows (constraints) or by columns (variables), solving with Cplex in C#.NET 

Diet.cs 

dietary optimization: building a model by rows (constraints) or by columns (variables), solving with the Callable Library 

diet.c 

linear programming: starting from an advanced basis 

ilolpex6.cpp 

lpex6.c 

network optimization: using the Callable Library 

netex1.c 

network optimization: relaxing a network flow to an LP 

netex2.c 

quadratic programming: maximizing a QP 

iloqpex1.cpp 

QPex1.java 

qpex1.c 

quadratic programming: reading a QP from a formatted file 

qpex2.c 

quadratically constrained programming: QCP 

qcpex1.c 

iloqcpex1.cpp 

QCPex1.java 

mixed integer programming: optimizing a basic MIP 

ilomipex1.cpp 

mipex1.c 

mixed integer programming: reading a MIP from a formatted file 

ilomipex2.cpp 

mipex2.c 

mixed integer programming: using special ordered sets (SOS) and priority orders 

ilomipex3.cpp 

mipex3.c 

cutting stock: using column generation 

cutstock.cpp 

transport: piecewise-linear optimization 

transport.cpp 

food manufacturing 2: using logical constraints 

foodmanufac.cpp 

early tardy scheduling 

etsp.cpp 

input and output: using the message handler 

lpex5.c 

using query routines 

lpex7.c 

using callbacks 

ilolpex4.cpp 

 

lpex4.c 

iloadmipex5.cpp 

using the tuning tool 

tuneset.c 

mixed integer programming: solution pool 

location.lp