2022 Cornell Optimization Open Textbook Feedback

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Riemannian optimization

Parametric linear programming

  • Author list
  1. All equations and math symbols should be italicized. Please use latex equations or equation editor to add equations/math symbols throughout the Wiki.
  • Theory, methodology, and/or algorithmic discussion
  1. Please use equation editor for all math symbols and equations. Refer https://optimization.cbe.cornell.edu/index.php?title=Duality to see how the equations/symbols are typed and aligned.
  2. Explain what zj means. It's unclear from the current text.
  • At least one numerical example
  1. Row matrices should also be in square brackets. Use equation editor to fix these.

Evolutionary algorithms

  • Theory, methodology, and/or algorithmic discussion
  1. Several words and phrases are capitalized. Please use the sentence case throughout the wiki.
  • References
  1. Some resources are inconsistent (missing publishing year, only a link and title, etc)

Alternating direction method of multipliers

  • Theory, methodology, and/or algorithmic discussion
  1. Please use equation editor/Latex equations for all math symbols and equations.
  2. Many words are capitalized in the text. Please use the sentence case throughout the Wiki.
  3. Please use the symbol * as superscript. It should look like x* and y*.

Sequential linear programming

  • Theory, methodology, and/or algorithmic discussion
  1. Please include more details of how the SLP problem is formulated at the beginning of the subsection.
  • At least one numerical example
  1. Please avoid using asterisks for representing multiplication.

Linear complementarity problem

Monte Carlo for machine learning applications

  • Conclusion
  1. Please correct the last sentence “there could be other optimized methods emerge”

Stochastic variance reduced gradient

  • Theory, methodology, and/or algorithmic discussion
  1. Please avoid pronouns such as “we” and “us”. This goes for all the sections.

Convex optimization in classification problems

  • Author list
  1. Please add the names of the authors without NetIDs.
  • Introduction
  1. The introduction of classification problems has not been included. Please expand the section by providing more context about the topic.
  2. Please add references to support the content.
  3. The statement of “in a minimization problem, all objective and constraint functions are convex” without specifying convex optimization problems is misleading. Please double check the writing and update if necessary.
  • Theory, methodology, and/or algorithmic discussion
  1. It is recommended to put “Definition” and “Properties and Benefits” under a new section “Theory” and also add a “Classification Problems” subsection.
  2. Please emphasize the combination of convex optimization and classification problems.
  • At least one numerical example
  1. Please formulate a convex optimization problem for the classification problem and solve it with a solver.
  2. The details of the algorithm are expected.
  • References
  1. Please avoid citing pages from Wikipedia. Please try to add journal articles or books for references.

Particle swarm optimization

Weighted metric method

  • Introduction
  1. Please use the sentence case throughout the wiki. Many words/phrases are capitalized in the current version.
  • Applications
  1. The complete reference from the image caption can be removed since there’s already a citation present.

Support vector clustering

  • Introduction
  1. Please place references after the period at the end of each sentence. This goes for all the sections in the wiki.
  • Theory, methodology, and/or algorithmic discussion
  1. Please use abbreviations after they have been introduced (e.g., “SVC algorithm” instead of “support vector clustering algorithm”).
  • References
  1. Please use the same reference style for each reference.

Quantum computing for optimization

  • Theory, methodology, and/or algorithmic discussion
  1. Quantum approximate optimization algorithms are scarce with barely introduced concepts and math notation.

Model predictive control

  • At least one numerical example
  1. “Gaussian” should be capitalized.

Ellipsoid method

  • References
  1. References are not linked in the text. Please consider having the references as this Wiki page: https://optimization.cbe.cornell.edu/index.php?title=Simplex_algorithm

Branch and price

Weighted sum method