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[Technical Column] The Theory of OPTISHAPE-TS: Sigmoid Function

A thorough explanation of linear spaces, also serving as a review! Introduction to our company's technical column.

This time, I will discuss the idea related to the optimization problem of a function that takes values within a certain specified range, specifically focusing on the sigmoid function. When solving non-parametric optimization problems using the H1 gradient method, we consider that an initial value of the function, which serves as the design variable, is given, and we update the design variable by adding an incrementing term to it. Therefore, this function must be an element of a linear space. I will carefully explain the concept of linear space as a review. Please feel free to download and take a look. [Contents] ■ Episode 29: Sigmoid Function *For more details, please refer to the PDF document or feel free to contact us.

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[Column] About the Theory of OPTISHAPE-TS Plugin Function

Explanation of the plugin features in shape optimization! Introduction to the technical column.

This time, I will explain the plugin feature of OPTISHAPE-TS. The plugin feature is designed for users to utilize their own evaluation functions in the shape optimization of OPTISHAPE-TS. I hope to convey that it can be quite challenging when you actually try to implement it. Please feel free to download and take a look. [Contents] ■ Episode 30: About the Plugin Feature *For more details, please refer to the PDF document or feel free to contact us.

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