Nitpicking
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"id": "f851cef5",
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"metadata": {},
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"source": [
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"# DoglegOptimizer Class Documentation\n",
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"# DoglegOptimizer\n",
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"\n",
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"## Overview\n",
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"\n",
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"\n",
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"The Dogleg step, $p_{dl}$, is a combination of these two steps, determined by the trust region radius $\\Delta$.\n",
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"\n",
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"It's key features:\n",
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"Key features:\n",
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"\n",
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"- **Hybrid Approach**: Combines the strengths of both the steepest descent and Gauss-Newton methods.\n",
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"- **Trust Region Method**: Utilizes a trust region to determine the step size, balancing between the accuracy of Gauss-Newton and the robustness of steepest descent.\n",
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"id": "2e4812da",
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"metadata": {},
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"source": [
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"# NonlinearOptimizer Class Documentation\n",
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"# NonlinearOptimizer\n",
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"\n",
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"## Overview\n",
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"\n",
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