non-differentiable sentence in Hindi
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- Give a set of mean - value theorem in open - interval with non - differentiable points
- Therefor , this chapter puts forward the solution of non - differentiable equations
- Higher order f - convexity and higher order symmetric duality in non - differentiable mathematical programming
- But these methods are designed to solve differen - tiable problems , they will be no use when meeting with non - differentiable equations
- Chapter one : this chapter discuss mainly about the astringency of several deformed newton ' s iterative methods and their application in solution of non - differentiable problems
- The object functions for synthesis of array antennas usually have the characteristics of multi - parameters , non - differentiable even discontinuities . the optimization of pattern function is non - linear problem
- Continuity , integrability and differentiability of riemann function are discussed ; especially , the non - differentiable properties on [ 0 , 1 ] are proved , and dirichlet ' s function is comparated with it
- It can speed the local rate of convergence and improve the accuracy of solution , and to solve nonlinear constraint optimization problems , coa was combined with exact non - differentiable penalty function
- As a powerful global optimization approach , genetic algorithms ( ga ) can solve a variety of optimization problems in which the objective function is discontinuous , non - differentiable , or highly non - linear , to produce high convergence speed and vast search space
- Furthermore , when replacing the entropy function by a general separate multiplier function , we develop a new regularization approach , referred to as lagrangian regularization approach . this approach does not only provide a unified smoothing technique for the non - differentiable m ( x ) and but also offers a unified framework for constructing penalty functions , whereby building a bridge between the penalty functions and the classical lagrangian
- Because this method is a non - linear , non - differentiable and combinatorial - constrained optimization problem , mathematical optimal approaches are not suitable for solving this problem . the genetic algorithm based on natural selection and natural gene mechanism is presented in this paper . it simulates the network structure optimization by simple encoding technique and propagating mechanism
- To circumvent the non - differentiable difficulty caused by the positive homogeneously function that is involved in an equivalent unconstrained formulation for general inequality constrained optimization problems , we turn to the classical lagrangian function and redefine m ( x ) by a conic optimization problem with the lagrangian as the objective function
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