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linear optimization

One-Stage Uncertain Linear optimization

One-Stage Uncertain Linear optimization

... Linear Optimization (LO) has been studied from different points of view and has proved its ability in modeling a vast range of practical problem in various ...

14

Linear optimization on Hamacher-fuzzy relational inequalities

Linear optimization on Hamacher-fuzzy relational inequalities

... the linear programming subject to a system of fuzzy relations have been introduced and developed based on composite operations used in FRE, fuzzy relations used in the definition of the constraints, some ...

36

Enhancing Route Quality In MANET Using Linear Optimization

Enhancing Route Quality In MANET Using Linear Optimization

... rate optimization through linear optimization ...The optimization technique is run every time route quality change is detected to produce most updated transmission ...

5

Solving a non-linear optimization problem in the presence of Yager-FRE constraints

Solving a non-linear optimization problem in the presence of Yager-FRE constraints

... such optimization problems are related to objec- tive ...a linear frac- tional programming problem under FRE with max-Archimedean t-norm ...fuzzy linear optimization problem by consid- ering ...

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Two-Stage Stochastic Mixed Integer Linear Optimization

Two-Stage Stochastic Mixed Integer Linear Optimization

... integer linear optimization problem based on a discrete representation of the value function and show how that leads to a generalization of Benders’ ...

177

Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization

Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization

... Convex Optimization in the past two ...vex Optimization find the solution by adding a barrier func- tion to the objective and solving the unconstrained minimiza- tion ...

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Non linear optimization of a sport motorcycle's suspension interconnection system

Non linear optimization of a sport motorcycle's suspension interconnection system

... An optimization of these coefficients is performed considering different possible mechanical implementations, going from a simple damping connection to full variable stiffness and damping coefficients depending on ...

7

An Application of Linear Optimization in Anaglyph Stereo Image Rendering

An Application of Linear Optimization in Anaglyph Stereo Image Rendering

... First we ran the original program (all pixels are processed with the simplex al- gorithm) on an increasing number of processors to determine how the running time and computing speed (reciprocal of running time) of the ...

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Linear optimization of fuzzy relation inequalities with max-Lukasiewicz ‎composition

Linear optimization of fuzzy relation inequalities with max-Lukasiewicz ‎composition

... In this paper, we study the finitely many constraints of fuzzy relation inequalities problem and opti- mize the linear objective function on this region which is defined with fuzzy max-Lukasiewicz operator. In ...

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Interactive computer graphics in non linear optimization

Interactive computer graphics in non linear optimization

... The user interacts with the display by selecting the next stage in the program. At the end of each stage, the subroutine MENU (ICU) is automatically called to display the available options at that stage. The displayed ...

198

Benchmarks for Current Linear and Mixed Integer Optimization Solvers

Benchmarks for Current Linear and Mixed Integer Optimization Solvers

... Solving linear and mixed integer linear optimization problems (LP and MILP) that belong to one of the most o en modelling tools, is unthinkable without high-quality so ...ware. Optimization ...

6

Robust optimization model for uncertain multiobjective linear programs

Robust optimization model for uncertain multiobjective linear programs

... of optimization problems in real world are usually uncertain due to prediction errors, estimation errors, or lack of information at the time of ...uncertain optimization problems for decision ...robust ...

11

On the optimization of Dombi non-linear programming

On the optimization of Dombi non-linear programming

... a linear objective function and the use of the max-min composition ...integer linear programming problem, which is then solved using a branch and bound method ...the linear objective with max-min ...

36

On Optimization Criteria of Fuzzy Linear Programming

On Optimization Criteria of Fuzzy Linear Programming

... the optimization field and the fuzzy ...the linear optimization problem, a new linear relaxation technique is proposed, and the problem EP is reduced to a sequence of linear programming ...

6

Second-Order Stochastic Optimization for Machine Learning in Linear Time

Second-Order Stochastic Optimization for Machine Learning in Linear Time

... Certain desirable properties of Newton’s method include the fact that its updates are in- dependent of the choice of coordinate system and that the Hessian provides the necessary regularization based on the curvature at ...

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The design, dimensioning and optimization of a 1 kva tubular  linear alternator

The design, dimensioning and optimization of a 1 kva tubular linear alternator

... applications, linear alternators are used in the suspension systems of the hybrid/electrical vehicles both for the minimization of the vibrations stemming from the road and the production of ...a linear ...

10

Linear scaling DFT+U with full local orbital optimization

Linear scaling DFT+U with full local orbital optimization

... Timings for generating the DFT+U Hamiltonian and its contribution to the total-energy and forces, for those calculations which fell within memory resources, are de- picted in Fig. 2. This indicates that no direct DFT+U ...

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Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM

... Because we optimize over all instances at each iteration, our algorithm can be seen as a cyclic block coordinate de- scent method satisfying the Gauss-Seidel rule with only one block. For L2-SVM, both Q ¯ and H are ...

10

Automatic Generation Control of Two Area Linear & Non Linear System using Teaching Learning Optimization Technique

Automatic Generation Control of Two Area Linear & Non Linear System using Teaching Learning Optimization Technique

... Table 2 to 3 shows result without GDB, sensitivity analysis, with GDB with different operating conditions. Thesis work performs two stages, first tested to a linear two-area power system model and then continued ...

10

Optimization of Array Factor in Linear Arrays Using Modified Genetic Algorithm

Optimization of Array Factor in Linear Arrays Using Modified Genetic Algorithm

... Normally, phases of excitations, in the elements of an array are multiples of a fixed value which is determined by the number of binary bits of the binary phase shifter. Therefore, all the angles can not be swept ...

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