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Books on the topic 'Algorithms. Convex functions. Programming (Mathematics)'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Hiriart-Urruty, Jean-Baptiste. Convex analysis and minimization algorithms. 2nd ed. Berlin: Springer-Verlag, 1996.

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2

Hiriart-Urruty, Jean-Baptiste. Convex analysis and minimization algorithms. Berlin: Springer-Verlag, 1993.

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3

Xiaoqi, Yang, ed. Lagrange-type functions in constrained non-convex optimization. Boston: Kluwer Academic Publishers, 2003.

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4

Crama, Yves. Boolean functions: Theory, algorithms, and applications. Cambridge: Cambridge University Press, 2011.

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5

Hiriart-Urruty, Jean-Baptiste. Fundamentals of convex analysis. Berlin: Springer, 2001.

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6

1944-, Lemaréchal Claude, ed. Fundamentals of convex analysis. Berlin: Springer, 2001.

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7

N, Iusem Alfredo, ed. Totally convex functions for fixed points computation and infinite dimensional optimization. Dordrecht: Kluwer Academic Publishers, 2000.

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8

Nanda, Sudarsan. Two applications of functional analysis. Kingston, Ont., Canada: Queen's University, 1986.

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9

M, Teboulle, ed. Asymptotic cones and functions in optimization and variational inequalities. New York: Springer, 2003.

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10

Liana, Lupșa, ed. Non-connected convexities and applications. Dordrecht: Kluwer Academic Publishers, 2002.

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11

Rastislav, Královič, and Urzyczyn Paweł, eds. Mathematical foundations of computer science 2006: 31st international symposium, MFCS 2006, Stara Lesna, Slovakia, August 28-September 1, 2006 ; proceedings. Berlin: Springer, 2006.

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12

Lemarechal, Claude, and Jean-Baptiste Hiriart-Urruty. Convex Analysis and Minimization Algorithms: Part 2: Advanced Theory and Bundle Methods (Grundlehren der mathematischen Wissenschaften). Springer, 2001.

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13

Christoph, Witzgall, and National Institute of Standards and Technology (U.S.), eds. On weakly analytic and faithfully convex functions in convex programming. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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14

Yang, Xiao-qi, and Alexander M. Rubinov. Lagrange-type Functions in Constrained Non-Convex Optimization. Springer, 2013.

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15

Rubinov, A., and Xiao-qi Yang. Lagrange-type Functions in Constrained Non-Convex Optimization (Applied Optimization). Springer, 2003.

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16

Nesterov, Yurii, and Arkadii Nemirovskii. Interior-Point Polynomial Algorithms in Convex Programming (Studies in Applied and Numerical Mathematics). Society for Industrial Mathematics, 1995.

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17

Lemaréchal, Claude, and Jean-Baptiste Hiriart-Urruty. Fundamentals of Convex Analysis (Grundlehren Text Editions). Springer, 2004.

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18

Convex Analysis and Its Applications: Proceedings of a Conference Held at Murat-le-Quaire, March 1976. Springer, 2012.

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19

Butnariu, D., and A. N. Iusem. Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization. Springer, 2012.

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20

Butnariu, D., and A. N. Iusem. Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization (Applied Optimization). Springer, 2000.

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21

Auslender, Alfred, and Marc Teboulle. Asymptotic Cones and Functions in Optimization and Variational Inequalities. Springer, 2002.

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22

Motai, Yuichi. Data-Variant Kernel Analysis. Wiley & Sons, Incorporated, John, 2015.

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23

Motai, Yuichi. Data-Variant Kernel Analysis. Wiley & Sons, Incorporated, John, 2015.

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24

Data-Variant Kernel Analysis. Wiley & Sons, Incorporated, John, 2015.

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25

Cristescu, G., and L. Lupsa. Non-Connected Convexities and Applications (Applied Optimization). Springer, 2002.

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26

Cristescu, G., and L. Lupsa. Non-Connected Convexities and Applications. Springer, 2014.

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27

Cristianini, Nello, and John Shawe-Taylor. Kernel Methods for Pattern Analysis. Cambridge University Press, 2004.

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