Numerical Optimization
Springer / 2006-7-27出版

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.



喜欢这本书的人也喜欢 打开App查看更多
  • Algebraic Geometry and Statistical Learning Theory
  • Foundations of Machine Learning
  • Information Theory, Inference and Learning Algorithms
  • 最优化理论与方法