Publication

Optimization Notes

Sepand Kashani
2019
Report or working paper
Abstract

While optimization is well studied for real-valued functions f:RNRf : \mathbb{R}^{N} \to \mathbb{R}, many physical problems are (partially) specified in terms of complex-valued functions fc:CNCMf_{c} : \mathbb{C}^{N} \to \mathbb{C}^{M}. Current optimization packages have limited support for such functions. In particular it is unclear how to define algorithmic differentiation w.r.t. complex-valued functions and arguments. This document is a collection of working notes on the topic.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.