Hi, Component: Spark R Level: Beginner Scenario: Does Spark R supports nonlinear optimization with nonlinear constraints?
Our business application supports two types of function convex and S-shaped curves and linear & non-linear constraints. These constraints can be combined with any one type of functional form at a time. Example of convex curve - [cid:image009.png@01D24974.C91E0EF0] Example of S-shaped curve - [cid:image010.png@01D24974.C91E0EF0] Example of non-linear constraints - Min Bound (50%) < [cid:image011.png@01D24974.C91E0EF0] < Max Bound (150%) Example of linear constraints - Min Bound (50%) < [cid:image012.png@01D24974.C91E0EF0] < Max Bound (150%) At present we are using SAS to solve these business problems. We are looking for SAS replacement software, which can solve similar kind of problems with performance equivalent to SAS. Also, please share benchmarking of its performance. How it perform as no. of variables keep on increasing Thanks and regards, Himanshu Gupta Accenture Interactive (AI) Gurgaon, India Mobile: +91 9910070743 E Mail: himanshu....@accenture.com<mailto:himanshu....@accenture.com> ________________________________ This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy. ______________________________________________________________________________________ www.accenture.com
