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Final
Final

Case-Based Reasoning as a Tool to Improve the Usability of
Case-Based Reasoning as a Tool to Improve the Usability of

... with smaller dissimilarity ratings. Portinale and Montani (2002) proposed a fuzzy case retrieval approach based on SQL. In their method, they extend the usual SQL query to a much wider use by setting a similarity threshold so that those cases having similarity degree greater than the specified thres ...
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5.7A Vertex Form Parabola

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stochastic local search. - International Center for Computational Logic
stochastic local search. - International Center for Computational Logic

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Learning to Solve Complex Planning Problems

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Fast direct solvers for elliptic PDEs

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seattle105 - UCLA Statistics

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Analysis of Algorithms CS 465/665

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AZ4101292299

... Figure 7 shows the IEEE 30-bus system which consists of 6 generator buses, 24 load buses and 41 transmission lines of which 4 branches (6–9), (6– 10), (4–12), and (28–27) are with the tap setting transformer. The transmission line parameters of this system and the base loads are taken from [9]. For ...
Partially Observable Markov Decision Processes with Reward
Partially Observable Markov Decision Processes with Reward

goal programming nutrition optimization model
goal programming nutrition optimization model

... As results of the developed goal programming model in this paper, optimal selection of the food intake subject to minimize deviations from the WHO recommended micronutrients and macronutrients intakes, including energy needs, and available household budget for food is obtained. Model developed in th ...
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Nonnegative Matrix Factorization with Sparseness Constraints

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Microeconomics II Lecture 3 Constrained Envelope Theorem

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Improved Particle Swarm Optimization Algorithm for Hydrothermal

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A Heuristic for a Mixed Integer Program using the Characteristic

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Chapter 2: Using Objects

... Computing a binomial coefficient by DP Binomial coefficients are coefficients of the binomial formula: (a + b)n = C(n,0)anb0 + . . . + C(n,k)an-kbk + . . . + C(n,n)a0bn C(n, k), the number of combinations of k elements from an nelement set (0  k  n) Recurrence: C(n,k) = ? those without last eleme ...
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lossless compression algorithm

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Equations Cards

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Solving Absolute Value Equations and Inequalities

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Mathematical optimization



In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.
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