Direct Optimization  Python for Integrated Circuits   An Online Book  

Python for Integrated Circuits http://www.globalsino.com/ICs/  


Chapter/Index: Introduction  A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  Appendix  
================================================================================= Direct optimization is a problemsolving or optimization approach that seeks to find the best solution to a problem by directly manipulating and optimizing the variables of interest. It is a broad concept that can be applied in various fields, including mathematics, engineering, computer science, and machine learning. The key idea behind direct optimization is to optimize a particular objective function or criteria without relying on intermediate steps or transformations. Direct Optimization has the following characteristics:
While direct optimization methods seek to find solutions in a straightforward manner, global optimization methods are concerned with finding the best solution across the entire solution space, which can be a more challenging task, especially in nonlinear and nonconvex optimization problems. ============================================


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