[PDF] Top 20 Multidimensional subset sum problem
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Multidimensional subset sum problem
... h" h" CPUDEFS; /***************************************** VARIABLES: rmatrix bstar: holds the basis rmatrix mu: holds the imatrix b: BB: rvector mu of orthogonal holds original BB[j] hol[r] ... See full document
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Attacks on the AJPS Mersenne-based cryptosystem
... We now present our quantum meet-in-the-middle attack. The first example of a quantum meet-in-the-middle algorithm was the collision finding algorithm of Brassard, Høyer and Tapp [9]. Similar ideas were later used in ... See full document
20
A New Algorithm to Provide all Solutions of SSP Problem
... The Subset-Sum Problem (SSP) is one the most fundamental NP-complete problems [2] and simple of its ...the subset whose sum is equal to given ...combinatorial problem [8], ... See full document
6
Three-player Hackenbush played on strings is NP -complete
... of Subset Sum Problem to ...that Subset Sum Problem is solvable if and only if Left, cooperating with Center, can win the game, ... See full document
5
Solving Subset Sum Problems of Densioty close to 1 by "randomized" BKZ-reduction
... Abstract. Subset sum or Knapsack problems of dimension n are known to be hardest for knapsacks of density close to ...BKZ, subset sum ... See full document
5
Chosen-Ciphertext Security from Subset Sum
... the problem can be solved in polynomial time ...the problem is considered to be ...solving Subset Sum is due to [19], and takes sub-exponential time for solving instances with δ = o(1) and ... See full document
13
Using Surrogate Information to Solve Multidimensional Multi choice Knapsack Problem
... [11], multidimensional (MDKP)[2][3], multiple-choice (MCKP) [12][13], and bounded problems [14], and ...knapsack problem (KP) aims to choose a subset from an infinite set of ...sack problem ... See full document
7
The Minmax Multidimensional Knapsack Problem with Application to a Chance Constrained Problem
... OPCC problem (IP-OPCC) with more general objective functions, and uses methods of disjunctive programming to approximate the convex hull of the feasi- ble ...OPCC problem with discrete probability dis- ...a ... See full document
11
Bee Colony Algorithm for the Multidimensional Knapsack Problem
... the Multidimensional Knapsack Problem (MKP), the goal of which is to find a subset of objects that maximizes a given objective function while satisfying some resource ... See full document
5
A genetic programming hyper heuristic for the multidimensional knapsack problem
... Burke et al. [2] outline two main categories of hyper- heuristics; heuristic selection methodologies and heuristic generation methodologies. Heuristic selection methodologies select a low-level heuristic to apply at a ... See full document
5
Exact, Polynomial, Determination Solution Method of the Subset Sum Problem
... Abstract: In this paper we give original geometrical interpretation to the domain of definition of integer and combinatorial problems. The solution of the problems concerning NP class has been carried out on the ... See full document
6
Reduction of Maximum Flow Network Interdiction Problem: Step towards the Polynomial Time Solutions
... In the present work an attempt is being made to reduce the Maximum Flow Network Interdiction Problem (MFNIP) in to the Subset Sum Problem so as to get some algorithms solvable in polynomial ... See full document
5
On Markov Moment Problem and Mazur Orlicz Theorem
... moment problem is an in- terpolation problem, involving the positivity of the linear functional (or opera- tor) ...moment problem, an “upper domination” condition appears ...ment problem is ... See full document
11
A New Branch and Bound Method for Solving Sum of Linear Ratios Problem
... put forward an efficient elementary simplex method with p = 1. Based on the work of [12], Konno et al. [13] proposed a similar parametric elementary simplex method with p = 2, which can be used to solve large scale ... See full document
6
Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm
... If we do not have a priori knowledge about the real system, then structure identification becomes a difficult problem and we have to select the structure by trial and error. Fortunately, we know a great deal about ... See full document
6
Existence and Uniqueness Linear Partial Differential Equations Depending Initial and Boundary Conditions
... These equations are called characteristic equations and are ordinary differential equations for families of curves in t x , plane along which constant. The solutions are called the characteristic curves. Notice that ... See full document
14
An OR practitioner’s solution approach to the multidimensional knapsack problem Pages 73-82 Download PDF
... 90 problem instances with 30 constraints each were definitely more complicated than ...utilizes problem-specific knowledge and repair operators which locally improve the ... See full document
10
Individual Welfare and the Demand for Financial Instruments
... multidimensional surplus measure used by Willig [11, 54], and it represents the sum of areas under sequentially shifted Fisherian demands for loans and deposits, when those demands are w[r] ... See full document
21
Download Download PDF
... a problem for soldiers involved in armed actions and it creates well- known pressures on ex-soldiers so that it makes cases of successful return to their “normal” life without additional therapy is almost ... See full document
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Multilingual Summarization with Polytope Model
... than MaxWords words and conveys as much in- formation as possible about the documents. Be- cause it is difficult, or even impossible, to know what humans consider to be the best summary, we approximate the human decision ... See full document
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