Modern Nonconvex Nondifferentiable Optimization is popular PDF and ePub book, written by Ying Cui in 2021-12-02, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Modern Nonconvex Nondifferentiable Optimization can be Read Online from any device for your convenience.
Modern Nonconvex Nondifferentiable Optimization Book PDF Summary
Starting with the fundamentals of classical smooth optimization and building on established convex programming techniques, this research monograph presents a foundation and methodology for modern nonconvex nondifferentiable optimization. It provides readers with theory, methods, and applications of nonconvex and nondifferentiable optimization in statistical estimation, operations research, machine learning, and decision making. A comprehensive and rigorous treatment of this emergent mathematical topic is urgently needed in today’s complex world of big data and machine learning. This book takes a thorough approach to the subject and includes examples and exercises to enrich the main themes, making it suitable for classroom instruction. Modern Nonconvex Nondifferentiable Optimization is intended for applied and computational mathematicians, optimizers, operations researchers, statisticians, computer scientists, engineers, economists, and machine learners. It could be used in advanced courses on optimization/operations research and nonconvex and nonsmooth optimization.
Detail Book of Modern Nonconvex Nondifferentiable Optimization PDF
- Author : Ying Cui
- Release : 02 December 2021
- Publisher : SIAM
- ISBN : 9781611976748
- Genre : Mathematics
- Total Page : 792 pages
- Language : English
- PDF File Size : 11,7 Mb
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