描述
线性、非线性与凸问题。凸仿射集。凸、准凸与对数凸函数。保持凸性的运算。识别与构造凸优化问题。拉格朗日函数、最优性条件、对偶性、几何与鞍点解释。最小范数、正则化与鲁棒逼近。统计估计、探测器设计。自适应天线。
原文参考文本
Linear, nonlinear and convex problems. Convex affine sets. Convex, quasiconvex and log-convex functions. Operations preserving convexity. Recognizing and formulating convex optimization problems. The Lagrange function, optimality conditions, duality, geometric and saddle-point interpretations. Least-norm, regularized and robust approximations. Statistical estimation, detector design. Adaptive antennas.
来源与参考
为帮助您核实信息，保留了日期和来源。为便于阅读提供了翻译；以官方来源为准，查看条件和要求。
来源参考 : https://calendar.carleton.ca/grad/courses/COMP/