> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ntop.com/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Field Optimization?

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Learn more about the [NASA Excite Challenge](https://www.ntop.com/resources/videos/lightweighting-a-bracket-for-the-nasa-excite-challenge/) and [Field Optimized hip implant](https://www.ntop.com/resources/blog/improving-the-biomechanical-profile-of-additive-hip-implants-with-field-optimization/).

Built upon nTop's implicit modeling, field-driven design, and optimization capabilities, Field Optimization (FO) is a new multi-objective and multi-scale generative design technology that computes spatially varied design parameters to achieve specified design objectives.

Essentially, FO allows users to specify design parameters, optimize the parameters for a given objective, and then seamlessly post-process results into geometry ready for manufacturing.

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  <img src="https://files.learn.ntop.com/lessons/what-is-field-optimization/440_2_Parametrize.jpg" />
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  <img src="https://files.learn.ntop.com/lessons/what-is-field-optimization/440_2_Optimize.jpg" />
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  <img src="https://files.learn.ntop.com/lessons/what-is-field-optimization/440_2_Synthesize.jpg" />
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**Parametrize**
Map design variables to a structure's physical response through simulation, testing, or analytical equations.

**Optimize**
Set up objectives, constraints, and the upper and lower bounds of your design variables and run your optimization.

**Synthesize**
Automatically convert the results into editable implicit geometry for post-processing and refinement.