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|a UAMI
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|a Ruszczynski, Andrzej.
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|a Nonlinear Optimization.
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|a Princeton :
|b Princeton University Press,
|c 2011.
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|a 1 online resource (463 pages)
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|a Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates the theor.
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|a Print version record.
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|t Frontmatter --
|t Contents --
|t Preface --
|t Chapter One. Introduction --
|t PART 1. Theory --
|t Chapter Two. Elements of Convex Analysis --
|t Chapter Three. Optimality Conditions --
|t Chapter Four. Lagrangian Duality --
|t PART 2. Methods --
|t Chapter Five. Unconstrained Optimization of Differentiable Functions --
|t Chapter Six. Constrained Optimization of Differentiable Functions --
|t Chapter Seven. Nondifferentiable Optimization --
|t Appendix A. Stability of Set-Constrained Systems --
|t Further Reading --
|t Bibliography --
|t Index
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|a JSTOR
|b Books at JSTOR Demand Driven Acquisitions (DDA)
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|a JSTOR
|b Books at JSTOR Evidence Based Acquisitions
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|a JSTOR
|b Books at JSTOR All Purchased
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|a Mathematical optimization.
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|a Nonlinear theories.
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|a Optimisation mathématique.
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|a Théories non linéaires.
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|a MATHEMATICS
|x Applied.
|2 bisacsh
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|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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|a Mathematical optimization
|2 fast
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|a Nonlinear theories
|2 fast
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|i Print version:
|a Ruszczynski, Andrzej.
|t Nonlinear Optimization.
|d Princeton : Princeton University Press, ©2011
|z 9780691119151
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830 |
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|a JSTOR EBA.
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|u https://jstor.uam.elogim.com/stable/10.2307/j.ctvcm4hcj
|z Texto completo
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938 |
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|a De Gruyter
|b DEGR
|n 9781400841059
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