One Page

107
-1

Published on

Circuit Synthesis
AgO
www.ago-inc.com
Hillol.Sarkar@ago-inc.com

Published in: Design
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
107
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

One Page

  1. 1. Analog & RF Circuit Synthesis AgO Synthesis Inc. The meta-Heuristic optimization makes few or no assumptions about the problem being optimized and can search very large spaces. More specifically, we do not use the gradient of the problem being optimized, which means it does not require that the optimization problem be differentiable as is required by classical optimization methods such as gradient descent and quasi-Newton methods. It can therefore also be used for optimization problems that are partially irregular, noisy, and change over time. Hillol Sarkar Hillol.Sarkar@ago-inc.com www.ago-inc.com

×