方法证据记录
Nonlinear Programming
Nonlinear programming (NLP) is a branch of mathematical optimization concerned with problems in which the objective function or at least one constraint is nonlinear. Formalized comprehensively by Jorge Nocedal and Stephen Wright in their seminal 2006 text, NLP encompasses gradient-based algorithms — including sequential quadratic programming (SQP), interior-point methods, and quasi-Newton approaches — for finding locally or globally optimal solutions to continuous decision problems arising across engineering, economics, and the physical sciences.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Nonlinear Programming
分类方法记录 · process-pipeline / optimization
- Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. · ISBN 978-0-387-30303-1
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