| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| matrixPrint = function(matrix[double] X) return () |
| { |
| for (i in 1:nrow(X)) |
| { |
| for (j in 1:ncol(X)) |
| { |
| xij = as.scalar(X[i,j]) |
| print("[" + i + "," + j + "] " + xij) |
| } |
| } |
| } |
| matrixPrintMinMax = function(matrix[double] X) return () |
| { |
| [min, max] = minMax(X) |
| print("Minimum is " + min) |
| print("Maximum is " + max) |
| } |
| minMax = function(matrix[double] M) return (double minVal, double maxVal) { |
| minVal = min(M) |
| maxVal = max(M) |
| } |