# nonlinear programming

### An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem

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### A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment

**nonlinear**

**programming**problem (FNLPP) is useful in solving problems which are difficult, impossible to solve due to the imprecise, subjective nature of the problem formulation or have an accurate ...

7

### Primal-Dual Path-Following Methods For Nonlinear Programming

**nonlinear**

**programming**(NLP), which involves the mini- mization or maximization of a

**nonlinear**objective function subject to constraints on the ...of

**nonlinear**program are problems with ...

142

### An Exact Penalty Approach for Mixed Integer Nonlinear Programming Problems

**nonlinear**

**programming**(MINLP) problems by converting a general MINLP problem to a finite sequence of

**nonlinear**

**programming**(NLP) problems with only continuous ...

5

### Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing

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### Modified Gauss Elimination Technique for Separable Nonlinear Programming Problem

**programming**deals with such

**nonlinear**

**programming**problem in which the objective function as well as constraints are ...Separable

**Nonlinear**

**Programming**Problem (SNPP) is ...

8

### Comparative study of Optimization methods for Unconstrained Multivariable Nonlinear Programming Problems

**nonlinear**

**programming**problems by the scholars. So we have chosen to study maximization problems and to our pleasant surprise, ...

5

### Compromise allocations of biobjective nonlinear programming problem under partial responses

11

### A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems

**nonlinear**

**programming**problem is to transform it to a linear

**programming**problem. The main difficulty of this method is the very large number of ...

6

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

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### A SUPERLINEARLY CONVERGENT SEQUENTIAL QUADRATICALLY CONSTRAINED QUADRATIC PROGRAMMING ALGORITHM FOR DEGENERATE NONLINEAR PROGRAMMING MIHAI ANITESCU

**Programming**algorithms [19]. One could of course ...

22

### Application of Nonlinear Programming for Identification of Mathematical Models of Corrosive Destruction of Structures

8

### Prediction by Nonlinear Programming of Relative Chemical Composition of Dietary Botanical Components.

11

### Duality in nonlinear programming problems under fuzzy environment with exponential membership functions

**nonlinear**

**programming**problem and formulate its Mangasarian type dual. Further, we prove duality theorems using exponential ...

10

### A Java Expression Evaluator for Nonlinear Programming

**Nonlinear**

**Programming**Problems using the methods referred in section II, as pre- sented in [3] and [4]. Since this API was developed in Java, originally it only allowed the ...

5

### Nonlinear programming approach for optimal control problems

6

### Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming

**nonlinear**

**programming**, establish dual function and dual problem based on the generalized augmented Lagrangian, obtain approximate KKT necessary optimal- ity condition of the generalized augmented ...

12

### A Feedback Neural Network for Solving Nonlinear Programming Problems with Hybrid Constraints

**nonlinear**

**programming**problem with bound constraints and its equivalent formulation is ...solving

**nonlinear**

**programming**problems with hybrid constraints is given in Section ...

6

### A Novel Solution Approach using Linearization Technique for Nonlinear Programming Problems

**Programming**(SLP) which is one of the direct methods solves NLP problems approximately, and uses a se- ries of LP problems generated by using first order Taylor series expansions of objective functions and ...

5

### An efficient nonlinear programming method for eliciting preference weights of incomplete comparisons

**Programming**(NLP) model to minimize max . Since they could not provide an efficient algorithm to solve this NLP model, they proposed the iterative method of cyclic ...

8