From ef7b2d8354488f3847df6eafaae2586ddaf8a461 Mon Sep 17 00:00:00 2001
From: bartzbeielstein <32470350+bartzbeielstein@users.noreply.github.com>
Date: Sat, 4 Apr 2026 22:44:33 +0200
Subject: [PATCH] quarto variants

---
 _quarto_full.yml            | 145 ++++++++++++++++++++++++++++++++++++
 _quarto_optim_numerical.yml | 121 ++++++++++++++++++++++++++++++
 2 files changed, 266 insertions(+)
 create mode 100644 _quarto_full.yml
 create mode 100644 _quarto_optim_numerical.yml

diff --git a/_quarto_full.yml b/_quarto_full.yml
new file mode 100644
index 0000000..dd2883f
--- /dev/null
+++ b/_quarto_full.yml
@@ -0,0 +1,145 @@
+project:
+  type: book
+  output-dir: docs
+
+book:
+  title: "Sequential Parameter Optimization Cookbook"
+  author:
+  - name: Thomas Bartz-Beielstein
+    affiliations:
+      - name: SpotSeven Lab
+      - city: Gummersbach
+        country: Germany
+        postal-code: 51643
+    orcid: 0000-0002-5938-5158
+    email: bartzbeielstein@gmail.com
+    url: 'https://www.spotseven.de'
+  date: last-modified
+  date-format: "MMM D, YYYY"
+  sidebar:
+    style: docked
+    background: light
+  search: true
+  page-navigation: true
+  page-footer: 
+    left: "Copyright 2026, T. Bartz-Beielstein" 
+    right: 
+      - icon: github
+        href: https://sequential-parameter-optimization.github.io/Hyperparameter-Tuning-Cookbook/
+      - icon: twitter 
+        href: https://x.com/bartzbeielstein   
+  repo-url: https://github.com/sequential-parameter-optimization/spotoptim
+  downloads: [pdf]
+  sharing: [twitter, linkedin]
+  twitter-card: true
+  # cover-image: cover.png
+  cover-image-alt: |
+    Sequential Parameter Optimization Toolbox (SPOT) for Python (Logo)
+  keyword: "optimization, hyperparameter tuning, artificial intelligence, machine learning, streaming data, online algorithms"
+  chapters:
+    - index.qmd
+    - part: "Sequential Parameter Optimization Toolbox (SPOT)"
+      chapters:
+      - spotoptim_intro.qmd
+      - spotoptim_api.qmd
+      - spotoptim_examples.qmd
+      - awwe_optimization.qmd
+      - 019_spotoptim_sk_matern.qmd
+      - success_rate.qmd
+      - spotoptim_parallel.qmd
+      - spotoptim_restart.qmd
+    - part: "Variables and Hyperparameters"
+      chapters:
+        - var_type.qmd
+        - factor_variables.qmd
+        - transformations.qmd
+    - part: "Visualization"
+      chapters:
+      - plot_surrogate.qmd
+      - tensorboard.qmd
+    - part: "Saving and Loading Models"
+      chapters:
+      - save_load.qmd
+      - reproducibility.qmd
+    - part: "Surrogate Handling"
+      chapters:
+      - surrogate_selection.qmd
+      - acquisition_failure.qmd
+      - point_selection.qmd
+    - part: "Optimization on the Surrogate"
+      chapters:
+      - acquisition_optimization.qmd
+    - part: "Kriging"
+      chapters:
+      - kriging.qmd
+      - kriging_surrogate.qmd
+      - kriging_forrester.qmd
+      - kriging_nystroem.qmd
+    - part: "Multiobjective Optimization"
+      chapters:
+      - multiobjective.qmd
+    - part: "Hyperparameter Tuning"
+      chapters:
+      - torch_objective.qmd
+      - mlp.qmd
+      - pinns_1.qmd
+      - pinns_2_hyperparameter_tuning.qmd
+      - learning_rate_mapping.qmd
+      - 020_scaling.qmd
+    - part: "Data Sets"
+      chapters:
+      - diabetes_dataset.qmd
+    - part: "Details About SPOT"
+      chapters:
+      - spot_step_by_step.qmd
+      - spotoptim_explained.qmd
+    - part: "Optimization"
+      chapters:
+      - 002_awwe.qmd
+    - part: "Numerical Methods"
+      chapters:
+      - 001_surrogate.qmd
+      - 001_sampling.qmd
+      - 006_constructing_surrogate.qmd
+      - 005_num_rsm.qmd
+      - 006_num_poly.qmd
+      - 006_num_rbf.qmd
+      - 006_num_gp.qmd
+      - 006_matrices.qmd
+      - 006_infill.qmd
+      - 007_challenge.qmd
+    - part: "Data-Driven Modeling and Optimization"
+      chapters:
+      - 100_ddmo_eda.qmd
+      - 100_ddmo_testing.qmd
+      - 100_ddmo_pca.qmd
+      - 100_ddmo_regression.qmd
+      - 100_ddmo_classification.qmd
+      - 100_ddmo_clustering.qmd
+    - part: "Appendix"
+      chapters:
+      - a_04_gp_background.qmd
+    - references.qmd
+
+bibliography: bart25s.bib
+
+format:
+  html:
+    theme:
+      - cosmo
+      - brand
+  pdf:
+    documentclass: scrbook
+    fontsize: 10pt
+    papersize: a4
+    keep-tex: true
+    code-fold: true
+    include-in-header:
+      text: |
+        \usepackage{mdframed}
+        \usepackage[skins,breakable]{tcolorbox}
+        \usepackage{bookmark}
+        \usepackage{pseudo}
+
+
+
diff --git a/_quarto_optim_numerical.yml b/_quarto_optim_numerical.yml
new file mode 100644
index 0000000..820e253
--- /dev/null
+++ b/_quarto_optim_numerical.yml
@@ -0,0 +1,121 @@
+project:
+  type: book
+  output-dir: docs
+
+book:
+  title: "Sequential Parameter Optimization Cookbook"
+  subtitle: "Lecture Notes for Optimization and Numerical Methods WS 25/26"
+  author:
+  - name: Thomas Bartz-Beielstein
+    affiliations:
+      - name: SpotSeven Lab
+      - city: Gummersbach
+        country: Germany
+        postal-code: 51643
+    orcid: 0000-0002-5938-5158
+    email: bartzbeielstein@gmail.com
+    url: 'https://www.spotseven.de'
+  date: last-modified
+  date-format: "MMM D, YYYY"
+  sidebar:
+    style: docked
+    background: light
+  search: true
+  page-navigation: true
+  page-footer: 
+    left: "Copyright 2026, T. Bartz-Beielstein" 
+    right: 
+      - icon: github
+        href: https://sequential-parameter-optimization.github.io/spotoptim-cookbook/
+      - icon: twitter 
+        href: https://x.com/bartzbeielstein   
+  repo-url: https://github.com/sequential-parameter-optimization/spotoptim
+  downloads: [pdf]
+  sharing: [twitter, linkedin]
+  twitter-card: true
+  # cover-image: cover.png
+  cover-image-alt: |
+    Sequential Parameter Optimization Toolbox (SPOT) for Python (Logo)
+  keyword: "optimization, hyperparameter tuning, artificial intelligence, machine learning, streaming data, online algorithms"
+  chapters:
+    - index.qmd
+    - part: "Sequential Parameter Optimization Toolbox (SPOT)"
+      chapters:
+      - spotoptim_intro.qmd
+      - spotoptim_api.qmd
+      - spotoptim_examples.qmd
+      - awwe_optimization.qmd
+      - success_rate.qmd
+      - spotoptim_restart.qmd
+    - part: "Variables and Hyperparameters"
+      chapters:
+        - var_type.qmd
+        - factor_variables.qmd
+        - transformations.qmd
+    - part: "Visualization"
+      chapters:
+      - plot_surrogate.qmd
+      - tensorboard.qmd
+    - part: "Saving and Loading Models"
+      chapters:
+      - save_load.qmd
+      - reproducibility.qmd
+    - part: "Surrogate Handling"
+      chapters:
+      - surrogate_selection.qmd
+      - acquisition_failure.qmd
+    - part: "Optimization on the Surrogate"
+      chapters:
+      - acquisition_optimization.qmd
+    - part: "Kriging"
+      chapters:
+      - kriging.qmd
+      - kriging_surrogate.qmd
+      - kriging_forrester.qmd
+      - kriging_nystroem.qmd
+    - part: "Details About SPOT"
+      chapters:
+      - spot_step_by_step.qmd
+      - spotoptim_explained.qmd
+    - part: "Optimization"
+      chapters:
+      - 002_awwe.qmd
+    - part: "Numerical Methods"
+      chapters:
+      - 001_surrogate.qmd
+      - 001_sampling.qmd
+      - 006_constructing_surrogate.qmd
+      - 005_num_rsm.qmd
+      - 006_num_poly.qmd
+      - 006_num_rbf.qmd
+      - 006_num_gp.qmd
+      - 006_matrices.qmd
+      - 006_infill.qmd
+      - 007_challenge.qmd
+    - part: "Appendix"
+      chapters:
+      - a_04_gp_background.qmd
+    - references.qmd
+
+bibliography: bart25s.bib
+
+format:
+  html:
+    theme:
+      - cosmo
+      - brand
+  pdf:
+    documentclass: scrbook
+    fontsize: 10pt
+    papersize: a4
+    keep-tex: true
+    code-fold: true
+    include-in-header:
+      text: |
+        \usepackage{mdframed}
+        \usepackage[skins,breakable]{tcolorbox}
+        \usepackage{bookmark}
+        \usepackage{pseudo}
+
+
+