xuyang1706 commented on a change in pull request #8631: [FLINK-12745][ml] add 
sparse and dense vector class, and dense matrix class with basic operations.
URL: https://github.com/apache/flink/pull/8631#discussion_r310027507
 
 

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 File path: 
flink-ml-parent/flink-ml-lib/src/main/java/org/apache/flink/ml/common/matrix/BLAS.java
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 @@ -0,0 +1,132 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, 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.
+ */
+
+package org.apache.flink.ml.common.matrix;
+
+/**
+ * A utility class that wraps netlib BLAS and provides some operations on 
dense matrix
+ * and dense vector.
+ */
+public class BLAS {
+       private static final com.github.fommil.netlib.BLAS BLAS = 
com.github.fommil.netlib.BLAS.getInstance();
+
+       /**
+        * y += a * x .
+        */
+       public static void axpy(double a, double[] x, double[] y) {
 
 Review comment:
   Thank you for the suggestion. But as mentioned before, blas is a standard 
library that works on dense matrix and vector only. So it seems not necessary 
to provide the SparseVector impl.

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