D. Kuchta, "A modification of a solution concept of the linear programming problem with interval coefficients in the constraints," Central European Journal of Operations Research (CEJOR), vol. 16, no. 3, pp. 307-316, 2008.Kuchta, D.: A modification of a solution concept of the linear ...
Stiller, The concept of recoverable robustness, linear programming recovery, and railway applications, in Robust and Online Large-Scale Optimization, R.K. Ahuja, R.H. Mo¨hring, and Chr. Zaroliagis, eds., ... RK Ahuja,RH Möhring,CD Zaroliagis - Springer-Verlag 被引量: 150发表: 2009...
Here we are going to discuss another method of dealing with images. This other method is known as convolution. Usually the black box(system) used for image processing is an LTI system or linear time invariant system. By linear we mean that such a system where output is always linear , ...
V. Kantorovich deserves-credit for formulating in the late '30s the main principles of a new branch of applied mathematics - linear programming - which has been increasingly used for solving complex economic problems. In his latest works, however, L. V. Kantorovich appears more as an economist...
Optimal maintenance policy for multi-component systems based on quantitative risk assessment and non-linear programming conceptTo ensure optimum system safety and availability at the minimized direct maintenance cost, fleet management decision making must be based on accurate forecasts of comp...
Concept maps can serve as versatile tools for learning, teaching, and assessment to support integrating complex concepts. Research suggests that concept maps can be successfully implemented in a wide variety of settings, from K12 to higher and profession
In all cases we find that the principled LDA-based approaches outper- form previously proposed heuristic meth- ods, greatly improving the specificity of attributes at each concept. 展开 关键词: GENERALIZED LINEAR MODELS INEQUALITY RESTRICTIONS LEAST FAVORABLE POINTS LIKELIHOOD RATIO TEST LIMITING ...
Linear Four Rates MD3 Margin Density Drift Detection MDDM McDiarmid Drift Detection Method meta-RRKOS- ELM-DDM Meta-cognitive Recurrent Recursive Kernel Online Sequential Extreme Learning MOS-ELM Meta-cognitive online sequential extreme learning machine NB Naive Bayes NDE Number and Distance of Errors ...
We consider the problem of using queries to learn an unknown concept. Several types of queries are described and studied: membership, equivalence, subset,
A methodology is developed to extract the proposed equilibrium solution of an intuitionistic fuzzy bi-matrix game by solving an equivalent quadratic programming problem with linear constraints. The viability of the proposed concept is depicted through two real-life examples of decision-making on ...