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release/4.3a0
p-zach 2025-04-05 15:29:11 -04:00
parent fab57eec54
commit 7c1a1e0765
2 changed files with 3 additions and 3 deletions
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4
gtsam/nonlinear/doc/DoglegOptimizer.ipynb
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@ -5,7 +5,7 @@
"id": "f851cef5", "id": "f851cef5",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# DoglegOptimizer Class Documentation\n", "# DoglegOptimizer\n",
"\n", "\n",
"## Overview\n", "## Overview\n",
"\n", "\n",
@ -23,7 +23,7 @@
"\n", "\n",
"The Dogleg step, $p_{dl}$, is a combination of these two steps, determined by the trust region radius $\\Delta$.\n", "The Dogleg step, $p_{dl}$, is a combination of these two steps, determined by the trust region radius $\\Delta$.\n",
"\n", "\n",
"It's key features:\n", "Key features:\n",
"\n", "\n",
"- **Hybrid Approach**: Combines the strengths of both the steepest descent and Gauss-Newton methods.\n", "- **Hybrid Approach**: Combines the strengths of both the steepest descent and Gauss-Newton methods.\n",
"- **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", "- **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",

2
gtsam/nonlinear/doc/NonlinearOptimizer.ipynb
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"id": "2e4812da", "id": "2e4812da",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# NonlinearOptimizer Class Documentation\n", "# NonlinearOptimizer\n",
"\n", "\n",
"## Overview\n", "## Overview\n",
"\n", "\n",