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linear and nonlinear programming

The solution of Nurse Scheduling Problem with Different Scheduling Models in Hospital using Linear and Nonlinear Programming

The solution of Nurse Scheduling Problem with Different Scheduling Models in Hospital using Linear and Nonlinear Programming

... There are several grades of nurses like a junior nurse, an expert nurse and some of the nurses' strength to be trained to handle particular medical situations or experienced in a particular field such as intensive ...

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Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

... Integer Linear Program (MILP) and Mixed Integer Non- Linear Program (MINLP) ...as linear, whereas, in the case of MINLP, they should be considered as a non-linear ...integer programming ...

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A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems

A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems

... zero-one nonlinear programming (0-1 NP) problem which we call it Parametric Linearization Approach ...of linear programming ...of linear programming problems defined by ...

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Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing

Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing

... the linear constraints of the general form this question requires to solve a system of linear equations with the same matrix as in constructing of the antigradient ...

6

Transformation methods in nonlinear programming

Transformation methods in nonlinear programming

... partial linear search does not appear to seriously affect the computational convergence of the methods especially when care is taken in choosing the approximating ...partial linear search can render the ...

173

NBI-RPRGM for Multi-objective Optimization   Design of Bio-Processes

NBI-RPRGM for Multi-objective Optimization Design of Bio-Processes

... of nonlinear programming subproblems which are solved by means of Random Perturbation of Reduced Gradient method (RPRGM) [9], our main objective was to compare several solution of NBI-SQP and NBI-RPRGM, ...

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USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS

... Linear programming has several applications in military, government, industry and civil ...solving nonlinear programming problem, discrete programming problems, chemicals, optimal ...

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A New Approach To Solve Fuzzy Fractional Assignment Problem By Using Taylor’s Series Method

A New Approach To Solve Fuzzy Fractional Assignment Problem By Using Taylor’s Series Method

... An assignment problem is a special type of linear programming problem where the objective is to assign n number of persons to n jobs at a minimum cost (time). Zadeh [18] introduced the concept of fuzzy sets ...

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Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions

Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions

... of nonlinear membership and non-membership of IFO technique in utilization of nonlinear structural problem ...the linear and non- linearintuitionistic fuzzy optimization in perspective of structural ...

7

The Effect of Realistic Mathematic Education on Students’ Conceptual Understanding of Linear Progamming

The Effect of Realistic Mathematic Education on Students’ Conceptual Understanding of Linear Progamming

... of linear programming of experiment groups was higher than control groups in which one factor that can be identified was processes of teaching and ...

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LINEAR PROGRAMMING AND DYNAMICS

LINEAR PROGRAMMING AND DYNAMICS

... Show that the Lagrangian plays the role of ”bridge” allowing to move from the original problem (in the primal space) to the dual problem (in the dual space). Using the formulas for the transition to the adjoint ...

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Numerical Solution of a Class of Nonlinear Optimal Control Problems Using Linearization and Discretization

Numerical Solution of a Class of Nonlinear Optimal Control Problems Using Linearization and Discretization

... using linear combination property of intervals and discretization is proposed to solve a class of nonlinear optimal control problems, containing a nonlinear system and linear functional, in ...

7

A Modified Simplex Method for Solving Linear-Quadratic and Linear Fractional Bi-Level Programming Problem

A Modified Simplex Method for Solving Linear-Quadratic and Linear Fractional Bi-Level Programming Problem

... bi-level programming problem (BLP) is a suitable method for solving the real and complex problems in applicable areas such as management, economics, policies and planning and so ...The linear-quadratic ...

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Satisfiability Based Algorithms for Pseudo Boolean Optimization Using Gomory Cuts and Search Restarts

Satisfiability Based Algorithms for Pseudo Boolean Optimization Using Gomory Cuts and Search Restarts

... Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). In contrast, the utilization of cutting planes in Pseudo- Boolean Optimization (PBO) is ...

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7 Linear programming —Part A

7 Linear programming —Part A

... Graphs of linear equations can be used to solve simple problems by finding points on the line. In this case it may be necessary to translate the problem into a mathematical form by creating a mathematical model. ...

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Linear Programming Formulation of kSAT

Linear Programming Formulation of kSAT

... papers Linear programming formulation of the vertex colouring problem and Linear programming formula- tion of the set partitioning problem give linear programming formulations ...

5

Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey

Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey

... There are various sensitivity based methods such as a modal or eigen-value analysis, and index method. A new methodology has been addressed for the solution of voltage stability when a contingency has occurred, using ...

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Linear Fractional Programming Procedure for Multi objective linear programming problem in Agricultural System

Linear Fractional Programming Procedure for Multi objective linear programming problem in Agricultural System

... Recently Zeng et.al [21] considered a crop area planning problem and proposed a fuzzy multi objective linear programming problem with fuzzy numbers and transformed the fuzzy multi object[r] ...

8

Reoptimizations in linear programming

Reoptimizations in linear programming

... It is an effective method for solving linear programming, which allows us to systematically explore the set of basic solutions. The simplex method consists of a sequence of iterations, each iteration ...

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APPLIED STUDY ON THE USE OF SENSITIVITY ANALYSIS AND LINEAR PROGRAMMING METHOD IN THE GENERAL COMPANY FOR PAPER INDUSTRIES (PAPER FACTORY IN CITY OF BASRA)

APPLIED STUDY ON THE USE OF SENSITIVITY ANALYSIS AND LINEAR PROGRAMMING METHOD IN THE GENERAL COMPANY FOR PAPER INDUSTRIES (PAPER FACTORY IN CITY OF BASRA)

... That some of the major problems faced by the constructors of the industrial sector in Iraq in non-optimal use of available resources as a result of not using scientific methods in planning and decision-making, resulting ...

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