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Export linear_solver to github

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Corentin Le Molgat
2021-08-23 16:52:06 +02:00
parent 6a99deb2a3
commit 48c160c8d8
12 changed files with 208 additions and 130 deletions
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8
ortools/linear_solver/samples/StiglerDiet.java
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@@ -10,6 +10,7 @@
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// [START program]
// The Stigler diet problem.
package com.google.ortools.linearsolver.samples;
@@ -23,12 +24,13 @@ import java.util.ArrayList;
import java.util.List;
// [END import]
/** Stigler diet example. */
public final class StiglerDiet {
public static void main(String[] args) {
Loader.loadNativeLibraries();
// [START data_model]
// Nutrient minimums.
List<Object[]> nutrients = new ArrayList<Object[]>();
List<Object[]> nutrients = new ArrayList<>();
nutrients.add(new Object[] {"Calories (kcal)", 3.0});
nutrients.add(new Object[] {"Protein (g)", 70.0});
nutrients.add(new Object[] {"Calcium (g)", 0.8});
@@ -39,7 +41,7 @@ public final class StiglerDiet {
nutrients.add(new Object[] {"Niacin (mg)", 18.0});
nutrients.add(new Object[] {"Vitamin C (mg)", 75.0});
List<Object[]> data = new ArrayList<Object[]>();
List<Object[]> data = new ArrayList<>();
data.add(new Object[] {"Wheat Flour (Enriched)", "10 lb.", 36,
new double[] {44.7, 1411, 2, 365, 0, 55.4, 33.3, 441, 0}});
data.add(new Object[] {
@@ -203,7 +205,7 @@ public final class StiglerDiet {
// [START variables]
double infinity = java.lang.Double.POSITIVE_INFINITY;
List<MPVariable> foods = new ArrayList<MPVariable>();
List<MPVariable> foods = new ArrayList<>();
for (int i = 0; i < data.size(); ++i) {
foods.add(solver.makeNumVar(0.0, infinity, (String) data.get(i)[0]));
}