Optimal design of a CMOS op-amp via geometric programming

By M. Hershenson, Stephen P. Boyd, Thomas H. Lee. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001

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Cones and interior-point algorithms for structured convex optimization involving powers andexponentials (2009, background): “[3],[6],[5],[9],[24],[15],[66]) showing the great scope of potential applications, ranging from mechanical and electrical engineering, to finance, network design, location problems and many more.”
Differentiable Convex Optimization Layers (2019, unknown): “We focus on convex optimization because it is a powerful modeling tool, with applications in control [20, 16, 71], ﬁnance [57, 19], energy management [63], supply chain [17, 15], physics [51, 8], computational geometry [73], aeronautics [48], and circuit design [47, 21], among other ﬁelds.”
A tutorial on geometric programming (2007, methodology): “In 1997, Hershenson, Boyd, and Lee applied GP to analog integrated circuit design [72].”
Real-Time Convex Optimization in Signal Processing (2010, methodology): “It is widely used in application areas like control [6], [7], [8], circuit design [9], [10], [11], economics and finan ce [12], [13], networking [14], [15], [16], statistics and mac hine learning [17], [18], quantum information theory [19], [20] , and combinatorial optimization [21], to name just a ”