| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| args<-commandArgs(TRUE) |
| options(digits=22) |
| library("Matrix") |
| |
| # V = matrix( 5, 2, 300) |
| # U = t(V) |
| |
| U = matrix( 5, 300, 2) |
| V = t(U) |
| # X = rand(rows=300, cols=300, pdf="normal", sparsity=0.2, seed=7) |
| # X = matrix(1, 300,300) |
| |
| X = U %*% V |
| X[1:150,] = matrix(0,150,300); |
| |
| T1 = rowSums(U^2)%*%matrix(1,1,ncol(V)); |
| T2 = matrix(1,nrow(U),1)%*%t(as.matrix(colSums(V^2))) |
| D = sqrt(-2 * U %*% V + T1 + T2); |
| |
| s = sum(rowSums((X != 0) * (X - D))^2) |
| S = as.matrix(s); |
| |
| writeMM(as(S, "CsparseMatrix"), paste(args[2], "S", sep="")); |
| |
