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On self-concordant barriers for generalized power cones

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Abstract

In the study of interior-point methods for nonsymmetric conic optimization and their applications, Nesterov (Optim Methods Softw 27(4–5): 893–917, 2012) introduced a 4-self-concordant barrier for the power cone, also known as Koecher’s cone. In his PhD thesis, Chares (Cones and interior-point algorithms for structured convex optimization involving powers and exponentials, PhD thesis, Universite catholique de Louvain, 2009) found an improved 3-self-concordant barrier for the power cone. In addition, he introduced the generalized power cone, and conjectured a “nearly optimal” self-concordant barrier for it. In this paper, we prove Chares’ conjecture. As a byproduct of our analysis, we derive a self-concordant barrier for a nonnegative power cone.

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References

  1. Badenbroek, R., Dahl, J.: An algorithm for nonsymmetric conic optimization inspired by MOSEK. Preprint. arXiv:2003.01546 (2020)

  2. Ben-Tal, A., Nemirovski, A.: Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications. SIAM, MPS-SIAM Series on Optimization (2001)

  3. Chares, P.R.: Cones and interior-point algorithms for structured convex optimization involving powers and exponentials. PhD thesis, Universite catholique de Louvain (2009)

  4. Dahl, J., Andersen, E.D.: A primal–dual interior-point algorithm for nonsymmetric exponential-cone optimization. Preprint, MOSEK white paper (2019)

  5. Güler, O.: Barrier functions in interior point methods. Math. Oper. Res. 21(4), 860–885 (1996)

    Article  MathSciNet  Google Scholar 

  6. Hildebrand, R.: A lower bound on the barrier parameter of barriers for convex cones. Math. Program. 142(1), 311–329 (2013)

    Article  MathSciNet  Google Scholar 

  7. Koecher, M.: Positivitätsbereiche in \({R}^n\). Am. J. Math. 79(3), 575–596 (1957)

    Article  Google Scholar 

  8. Nesterov, Y.: Constructing self-concordant barriers for convex cones. CORE discussion paper 2006/30, Center for Operations Research and Econometrics, Catholic University of Louvain (2006)

  9. Nesterov, Y.: Primal–dual interior-point methods with asymmetric barriers. CORE discussion paper 2008/57, Center for Operations Research and Econometrics, Catholic University of Louvain (2008)

  10. Nesterov, Y.: Towards non-symmetric conic optimization. Optim. Methods Softw. 27(4–5), 893–917 (2012)

    Article  MathSciNet  Google Scholar 

  11. Nesterov, Y., Nemirovskii, A. Interior-point polynomial algorithms in convex programming, volume 13 of SIAM Studies in Applied Mathematics. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (1994)

  12. Serrano, S.A.: Algorithms for unsymmetric cone optimization and implementation for problems with the exponential cone. PhD thesis, Standford University (2015)

  13. Skajaa, A., Ye, Y.: A homogeneous interior-point algorithm for nonsymmetric convex conic optimization. Math. Program. 150(2), 391–422 (2015)

    Article  MathSciNet  Google Scholar 

  14. Truong, V.A., Tunçel, L.: Geometry of homogeneous convex cones, duality mapping, and optimal self-concordant barriers. Math. Program. Ser. A 100, 295–316 (2004)

    Article  MathSciNet  Google Scholar 

  15. Tunçel, L.: Generalization of primal–dual interior-point methods to convex optimization problems in conic form. Found. Comput. Math. 1, 229–254 (2001)

    Article  MathSciNet  Google Scholar 

  16. Tunçel, L., Nemirovski, A.: Self-concordant barriers for convex approximations of structured convex sets. Found. Comput. Math. 10(5), 485–525 (2010)

    Article  MathSciNet  Google Scholar 

  17. Tunçel, L., Song, X.: On homogeneous convex cones, the Carathéodory number, and the duality mapping. Math. Oper. Res. 26(2), 234–247 (2001)

    Article  MathSciNet  Google Scholar 

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Appendix: Derivative calculations

Appendix: Derivative calculations

In this section, we work through the derivative calculations in the proofs of Theorems 1 and 2. All derivatives are taken at the point (xz) and in direction \((\varDelta x, \varDelta z)\). The first two derivatives of \(\xi \) are easy to compute as \(\xi ' = e_1 \xi \) and \(\xi '' = -e_2 \xi \). Before computing \(\xi '''\), we compute \(e_1'\) and \(e_2'\), which are useful quantities in computing \(\xi '''\) as well as other derivatives later. Noting that \(\delta _i' = -\delta _i^2\) (where \(\delta _i\) is as in the proofs of Theorems 1 and 2), it is straightforward to show

$$\begin{aligned} e_1' = -s_2 = -e_1^2 - e_2 \end{aligned}$$

and

$$\begin{aligned} e_2' = s_2' - 2 s_1 s_1' = -2 s_3 + 2s_1 s_2 = -e_1 e_2 - e_3. \end{aligned}$$

We then compute \(\xi '''\) by

$$\begin{aligned} \xi ''' = (-e_2 \xi )' = -e_2' \xi -e_2 \xi ' = (e_1 e_2 + e_3) \xi - e_2 (e_1 \xi ) = e_3 \xi . \end{aligned}$$

Now we compute the derivatives of the function \(f = \xi - \frac{\Vert z\Vert _2^2}{\xi }\) in the proof of Theorem 1:

$$\begin{aligned} f'&= \xi ' + \frac{\xi }{\xi ^2} \Vert z \Vert _2^2 - \frac{1}{\xi } \left( 2z \cdot \varDelta z \right) = \xi ' + \frac{1}{\xi } ( e_1 \Vert z \Vert _2^2 - 2 z \cdot \varDelta z) ,\\ f''&= \left( \xi ' + \frac{1}{\xi } ( e_1 \Vert z \Vert _2^2 - 2 z \cdot \varDelta z) \right) ' \\&= \xi '' - \frac{\xi '}{\xi ^2} (e_1 \Vert z \Vert _2^2 - 2 z \cdot \varDelta z) + \frac{1}{\xi } \left( (-e_1^2 - e_2) \Vert z \Vert _2^2 + 2 e_1 z \cdot \varDelta z - 2 \Vert \varDelta z \Vert _2^2 \right) \\&= \xi '' - \frac{1}{\xi } \left( 2 e_1^2 \Vert z \Vert _2^2 - 4 e_1 z \cdot \varDelta z + e_2 \Vert z \Vert _2^2 + 2 \Vert \varDelta z \Vert _2^2 \right) \\&= \xi '' - \frac{e_2}{\xi } \Vert z \Vert _2^2 - \frac{2}{\xi } \Vert e_1 z - \varDelta z \Vert _2^2 ,\\ f'''&= \left( \xi '' - \frac{e_2}{\xi } \Vert z \Vert _2^2 - \frac{2}{\xi } \Vert e_1 z - \varDelta z \Vert _2^2 \right) ' \\&= \xi ''' + \frac{\xi '}{\xi ^2} e_2 \Vert z \Vert _2^2 - \frac{1}{\xi } \left( (-e_1 e_2 - e_3) \Vert z\Vert _2^2 + 2 e_2 z \cdot \varDelta z \right) + \frac{2 \xi '}{\xi ^2} \Vert e_1 z - \varDelta z \Vert _2^2 \\&- \frac{2}{\xi } \left( 2 e_1 (-e_1^2 - e_2) \Vert z\Vert _2^2 + 2 e_1^2 z \cdot \varDelta z - 2 \left( (-e_1^2 - e_2) z \cdot \varDelta z + e_1 \Vert \varDelta z \Vert _2^2 \right) \right) \\&= \xi ''' + \frac{e_3}{\xi } \Vert z \Vert _2^2 + \frac{2}{\xi } \left( 3 e_1 e_2 \Vert z\Vert _2^2 - 3 e_2 z \cdot \varDelta z + e_1 \Vert e_1 z - \varDelta z \Vert _2^2 \right. \\&\quad \left. + 2 e_1^3 \Vert z\Vert _2^2 - 4 e_1^2 z \cdot \varDelta z + 2 e_1 \Vert \varDelta z \Vert _2^2 \right) \\&= \xi ''' + \frac{e_3}{\xi } \Vert z \Vert _2^2 + \frac{2}{\xi } \left( 3 e_1 e_2 \Vert z\Vert _2^2 - 3 e_2 z \cdot \varDelta z + 3 e_1 \Vert e_1 z - \varDelta z \Vert _2^2 \right) \\&= \xi ''' + \frac{e_3}{\xi } \Vert z \Vert _2^2 + \frac{6}{\xi } \left( e_1 \Vert e_1 z - \varDelta z \Vert _2^2 + e_2 z \cdot (e_1 z - \varDelta z) \right) . \end{aligned}$$

The derivatives of \(z - \frac{z^2}{\xi }\) in the proof of Theorem 2 are computed in a very similar manner and are omitted.

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Roy, S., Xiao, L. On self-concordant barriers for generalized power cones. Optim Lett 16, 681–694 (2022). https://doi.org/10.1007/s11590-021-01748-7

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