Optimization and Nonsmooth Analysis Frank H. Clarke
Publisher: Society for Industrial Mathematics

The SSVM convert the SVM primal formulation to a nonsmooth unconstrained minimization problem. Since the objective function of this unconstrained optimization problem is not twice differentiable, smoothing techniques will be used to solve this problem. As written, the first inequality is a nonsmooth nonlinear constraint because of the absolute values on x and y. Optimization and Nonsmooth Analysis (Classics in Applied Mathematics): Frank H. This paper presents Smooth Support Vector Machines (SSVM) for few samples-based face recognition with Principal Component Analysis (PCA) for face extraction called eigenfaces. This book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts and their application to optimization problems. It is also suitable for graduate courses in nonlinear mechanics, nonsmooth analysis, applied optimization, control, calculus of variations and computational mechanics. Nonsmooth Analysis English | 2007-07-20 | ISBN: 3540713328 | 379 pages | PDF | 3.2 mb Nonsmooth Analysis English | 2007-07-20 | ISBN: 3540713328 | 379 pages | PDF | 3.2 mb This book treats. Winfried Schirotzek, -Nonsmooth Analysis (Universitext)- English | 2007-07-20 | ISBN: 3540713328 | 379 pages | PDF | 3.2 mb This book treats various. Absolute values can be linearized to simplify the optimization problem.