"Random linear programs with many variables and few constraints"

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Book	Author(s)	Year	Publisher
Random linear programs with many variables and few constraints	Charles Blair	1983	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Random variables	Lionel Edward Clarke	1975	Longman
Probability, Random Variables, And Random Processes	Hwei P. Hsu	2019	McGraw Hill
Some linear programs requiring many pivots	C. E. Blair	1982	College of Commerce and Business Administration, Bureau of Economic and Business Research, University of Illinois at Urbana-Champaign
Forcing with Random Variables and Proof Complexity	Jan Krajíček	2010-12	Cambridge University Press
Probability and Random Variables	G.P. Beaumont	2005	Woodhead Publishing
Probability and random variables	G. P. Beaumont	1986	Ellis Horwood;Halsted Press
Mathematical Programs with Equilibrium Constraints	Zhi-Quan Luo; Jong-Shi Pang; Daniel Ralph	1996-11	Cambridge University Press
Ordered random variables	M. Ahsanullah	2001	Nova Science Publishers
Free Random Variables	D. V. Voiculescu, K. J. Dykema, A. Nica	1992	American Mathematical Society
Ordered random variables	Mohammad Ahsanullah	2001	Nova Science Publishers
Probability, random variables, and random signal principles	Peyton Z. Peebles	1980	McGraw-Hill
Probability, random variables, and random signal principles /	Peebles, Peyton Z.	2001.	McGraw Hill,
Random Variables and Probability Distributions	H. Cramer	1970-01	Cambridge University Press
Random variables and probability distributions	Harald Cramér	1970	Cambridge U.P.
Beaumont Probability and Random Variables	G.P. Beaumont	May 14, 1986	Ellis Horwood
Linear Spaces with Few Lines	Klaus Metsch	1991	Springer Berlin Heidelberg
Metric characterization of random variables and random processes	Buldygin, V.V., Kozachenko Yu.V.	2000	American Mathematical Society
Metric characterization of random variables and random processes	Buldygin, Valeriĭ Vladimirovich; Kozachenko, I︠U︡. V	2000	American Mathematical Society
Random Variables & Stochastic Processes	A. K. Malik; V. Kumar; C. B. Gupta	2013	Neelkanth Publishers Pvt. Ltd.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Quadratic Programming with Many Linear Constraints		MATLAB Optimization Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Regularized Linear Programs with Equilibrium Constraints	Olvi L. Mangasarian	Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods	Masao Fukushima; Liqun Qi	1999	Springer US
78 LINEAR PROGRAMS WITH MIXED CONSTRAINTS		Numerical Linear Algebra and Optimization, Vol. 1	Philip E. Gill, Walter Murray, Margaret H. Wright	1990	Perseus Books (Sd)
24 Many random variables		Statistical Physics of Particles	Mehran Kardar	2007	Cambridge University Press
15 Many Random Variables		Markov Processes for Stochastic Modeling	Oliver Ibe	2008	Academic Press
A Penalty Approach to Linear Programs with Many Two-Sided Constraints	Petro Stetsyuk; Andreas Fischer; Oksana Pichugina	Mathematical Optimization Theory and Operations Research: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Proceedings	Panos Pardalos; Michael Khachay; Alexander Kazakov	1st ed. 2021	Springer International Publishing
Independence of many random variables		Notes on Discrete Mathematics	James Aspnes	2021
Linear Approximation under Infinitely Many Linear Constraints	W. Krabs	Recent Developments in Optimization: Seventh French-German Conference on Optimization	Roland Durier; Christian Michelot	1995	Springer Berlin Heidelberg
Linear approximation under infinitely many linear constraints	W. Krabs	Recent developments in optimization: Seventh French-German Conference on Optimization /	Durier, Roland,; Michelot, Christian,	[1995], ©1995.	Springer-Verlag,
Linear Functions of Random Variables		Statistics for Business and Economics, Ebook, Global Edition	Paul Newbold; William Carlson; Betty Thorne	2019	Pearson UK
Linear Combinations of Random Variables		Statistics for Business and Economics, Ebook, Global Edition	Paul Newbold; William Carlson; Betty Thorne	2019	Pearson UK
Linear Combination of Random Variables		Discrete Distributions in Engineering and the Applied Sciences	Rajan Chattamvelli, Ramalingam Shanmugam	2020	Morgan & Claypool Publishers
Linear combinations of random variables		Jacaranda Maths Quest 12 Specialist Mathematics	Raymond Rozen	0
Programming Involving Infinitely Many Variables and Constraints	Leonid Hurwicz	Activity Analysis in the Theory of Growth and Planning	M O L Bacharachd; ; Edmond Malinvaud	1st ed. 1967	Palgrave Macmillan UK
Many and few		Sorting	Karina Law	2011	Sea-to-Sea Publications
Many and few.		Eddie and Ellie's opposites at the park	Rebecca Rissman	2014	Raintree
Many and few		Eddie and Ellie's opposites at the circus	Daniel Nunn	2014	Raintree
Probability Theory (ii): Many Random Variables	Warren J. Ewens; Gregory R. Grant	Statistical Methods in Bioinformatics: An Introduction	Warren J. Ewens; Gregory R. Grant	2001	Springer New York
Probability Theory (ii): Many Random Variables		Statistical Methods in Bioinformatics: An Introduction	Warren J. Ewens; Gregory R. Grant	2nd ed. 2005	Springer New York
12. Sums of many random variables		Probability Theory and Statistical Applications: A Profound Treatise for Self-Study	Peter Zörnig	2016	De Gruyter
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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