Analog Integrated Circuits and Signal Processing - Special issue: low-voltage low-power analog integrated circuits
An infeasible interior-point algorithm for solving primal and dual geometric programs
Mathematical Programming: Series A and B - Special issue: interior point methods in theory and practice
Operation and Modeling of the Mos Transistor (The Oxford Series in Electrical and Computer Engineering)
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Modeling Layout Effects for Sensitivity-Based Analog Circuit Optimization
ISQED '05 Proceedings of the 6th International Symposium on Quality of Electronic Design
Geometric programming for circuit optimization
Proceedings of the 2005 international symposium on Physical design
On the adequate transistor modeling for optimal design of CMOS OTA
SBCCI '05 Proceedings of the 18th annual symposium on Integrated circuits and system design
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Digital Circuit Optimization via Geometric Programming
Operations Research
Statistical performance modeling and optimization
Foundations and Trends in Electronic Design Automation
Classification of analog synthesis tools based on their architecture selection mechanisms
Integration, the VLSI Journal
CMOS op-amp power optimization in all regions of inversion using geometric programming
Proceedings of the 21st annual symposium on Integrated circuits and system design
A power optimization method for CMOS op-amps using sub-space based geometric programming
Proceedings of the Conference on Design, Automation and Test in Europe
Proceedings of the 24th symposium on Integrated circuits and systems design
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We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-convex constraints. Adding a limited set of non-convex constraints can improve the accuracy of convex equation-based optimization, without compromising global optimality. These constraints allow increased accuracy for critical modeling equations, such as the relationship between gm and IDS. To demonstrate the design methodology, a folded-cascode amplifier is designed in a [0.18]μm technology for varying speed requirements and is compared with simulations and designs obtained from geometric programming.