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Modern Nonconvex Nondifferentiable Optimization (Hardcover)
Loot Price: R3,476
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Modern Nonconvex Nondifferentiable Optimization (Hardcover)
Series: MOS-SIAM Series on Optimization
Expected to ship within 12 - 17 working days
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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.
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