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1

Sima, Vasile. Algorithms for linear-quadratic optimization. New York: M. Dekker, 1996.

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2

Mathematical algorithms for linear regression. Boston: Academic Press, 1991.

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3

Kontoghiorghes, Erricos John. Parallel Algorithms for Linear Models. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4571-2.

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4

Lee, P. Synthesizing linear-array algorithms from nested for loop algorithms. New York: Courant Institute of Mathematical Sciences, New York University, 1988.

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5

Panik, Michael J. Linear programming: Mathematics, theory and algorithms. Dordrecht: Kluwer Academic, 1996.

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6

Abdullah, Jalaluddin. Fixed point algorithms for linear programming. Birmingham: University of Birmingham, 1992.

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7

service), SpringerLink (Online, ed. Max-linear Systems: Theory and Algorithms. London: Springer-Verlag London Limited, 2010.

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8

Linear network optimization: Algorithms and codes. Cambridge, Mass: MIT Press, 1991.

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9

Panik, Michael J., ed. Linear Programming: Mathematics, Theory and Algorithms. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-3434-7.

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10

Butkovič, Peter. Max-linear Systems: Theory and Algorithms. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-299-5.

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11

Fang, Shu-Cherng. Linear optimization and extensions: Theory and algorithms. Englewood Cliffs, N.J: Prentice Hall, 1993.

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12

The linear ordering problem: Algorithms and applications. Berlin: Heldermann, 1985.

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13

Spedicato, Emilio, ed. Computer Algorithms for Solving Linear Algebraic Equations. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76717-3.

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14

Nicol, David M. A multistage linear array assignment problem. Hampton, Va: ICASE, 1988.

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15

Arbel, Ami. Exploring interior-point linear programming: Algorithms and software. Cambridge, Mass: MIT Press, 1993.

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16

Engquist, Bjorn. Fast wavelet based algorithms for linear evolution equations. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1992.

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17

Eiguren, Jakoba. Soft-decision decoding algorithms for linear block codes. Manchester: University of Manchester, 1994.

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18

Kepner, Jeremy V. Graph algorithms in the language of linear algebra. Philadelphia: Society for Industrial and Applied Mathematics, 2011.

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19

Ye, Yinyu. Interior point algorithms: Theory and analysis. New York: Wiley, 1997.

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20

Potential function methods for approximately solving linear programming problems: Theory and practice. Boston: Kluwer Academic Publishers, 2002.

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21

Lobo, M. Stability theorems concerning high order explicit algorithms for the linear advection equation. Cranfield, Eng: College of Aeronautics, Cranfield Institute of Technology, 1985.

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22

Algorithms for computer-aided design of linear microwave circuits. Boston: Artech House, 1990.

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23

Murthy, C. Siva Ram. New parallel algorithms for direct solution of linear equations. New York: J. Wiley, 2000.

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24

Golub, Gene H., and Paul Van Dooren, eds. Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75536-1.

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25

NATO, Advanced Study Institute on Linear Algebra Digital Signal Processing and Parallel Algorithms (1988 Leuven Belgium). Numerical linear algebra, digital signal processing, and parallel algorithms. Berlin: Springer-Verlag, 1991.

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26

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

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27

Computational techniques of the simplex method. Boston: Kluwer Academic Publishers, 2003.

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28

Svetozar, Margenov, ed. Robust algebraic multilevel methods and algorithms. Berlin: Walter De Gruyter, 2009.

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29

I, Agoshkov V., and Shuti͡a︡ev V. P, eds. Adjoint equations and perturbation algorithms in nonlinear problems. Boca Raton, Fla: CRC Press, 1996.

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30

Klerk, Etienne de. Aspects of semidefinite programming: Interior point algorithms and selected applications. New York: Springer, 2011.

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31

Tamás, Terlaky, Vial J. P, and Roos Cornelis 1941-, eds. Interior point methods for linear optimization. 2nd ed. New York: Springer, 2006.

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32

Mersini, Nexhat. Sparse matrices of high order: Algorythms for reordering, inversion and solution of systems of linear equations = Matrica te rralla te rendeve te larta : algoritme per aranzhimin, inversimin dhe zgjidhjen e sistemeve te ekuacioneve lineare. Tirane: VEFA, 1996.

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33

Kreiner, Svend. Collapsibility of multidimensional contingency tables: Theorems, algorithms, and programs. [Copenhagen, Denmark]: Danish Institute for Educational Research, 1987.

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34

Van Landingham, Hugh F., 1935-, ed. Algorithms for computer-aided design of multivariable control systems. New York: M. Dekker, 1993.

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35

Edelsbrunner, Herbert. The upper envelope of piecewise linear functions: algorithms and applications. New York: Courant Institute of Mathematical Sciences, New York University, 1987.

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36

Shriba, Samir. Adaptive identifier and observer algorithms for unknown order linear systems. Uxbridge: Brunel University, 1985.

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37

Gajić, Zoran. Parallel Algorithms for Optimal Control of Large Scale Linear Systems. London: Springer London, 1993.

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38

Tamás, Terlaky, and Vial J. P, eds. Theory and algorithms for linear optimization: An interior point approach. Chichester: Wiley, 1997.

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39

Lin, Shu. Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes. Boston, MA: Springer US, 1998.

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40

E, Spedicato, ed. ABS projection algorithms: Mathematical techniques for linear and nonlinear equations. Chichester, West Sussex, England: Ellis Horwood, 1989.

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41

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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42

Gajić, Zoran. Parallel algorithms for optimal control of large scale linear systems. London: Springer-Verlag, 1993.

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43

Aliev, F. A. Optimization of linear control systems: Analytical methods and computational algorithms. Amsterdam, The Netherlands: Gordon and Breach Science Publishers, 1998.

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44

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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45

Gajić, Zoran, and Xuemin Shen. Parallel Algorithms for Optimal Control of Large Scale Linear Systems. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3219-6.

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46

Lin, Shu, Tadao Kasami, Toru Fujiwara, and Marc Fossorier. Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5745-6.

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47

Kontoghiorghes, Erricos John. Parallel algorithms for linear models: Numerical methods and estimation problems. Boston: Kluwer Academic, 2000.

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48

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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49

Morton, David P. Stopping rules for class of sampling-based stochastic programming algorithms. Monterey, Calif: Naval Postgraduate School, 1994.

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50

Evstigneev, V. A. Svodimye grafy i graf-modeli v programmirovanii. Novosibirsk: Izd-vo In-ta diskretnoĭ matematiki i informatiki, 1999.

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