Direct Optimization - Python for Integrated Circuits - - An Online Book - |
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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 problem-solving 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 non-linear and non-convex optimization problems. ============================================
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