| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| |
| X = matrix(seq(1,3000), 60, 50); |
| Y = seq(1,60); |
| Xw = seq(2,61); |
| while(FALSE){} |
| |
| out = 1 - Y * Xw |
| sv = (out > 0) |
| out = sv * out |
| obj = 0.5 * sum(out * out) |
| g_new = t(X) %*% (out * Y) |
| |
| while(FALSE){} |
| R = as.matrix(obj + sum(g_new)); |
| |
| write(R, $1) |
